A B C D E F G H I J K L M N O P Q R S T U V W X Y

## A

AbstractCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
  Abstract base implementation for retrieving candidate items to recommend
AbstractCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
AbstractCluster - Class in org.apache.mahout.clustering
AbstractCluster() - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractCluster(Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractCluster(Vector, Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractClusteringPolicy - Class in org.apache.mahout.clustering.iterator
AbstractClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
AbstractDataModel - Class in org.apache.mahout.cf.taste.impl.model
  Contains some features common to all implementations.
AbstractDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
AbstractDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  Abstract superclass of a couple implementations, providing shared functionality.
AbstractDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable - Class in org.apache.mahout.cf.taste.impl.eval
AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable(Recommender, long, PreferenceArray, AtomicInteger) - Constructor for class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable
AbstractFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  base class for `Factorizer`s, provides ID to index mapping
AbstractFactorizer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
AbstractIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
AbstractIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
AbstractItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
AbstractItemSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
AbstractJDBCComponent - Class in org.apache.mahout.cf.taste.impl.common.jdbc
  A helper class with common elements for several JDBC-related components.
AbstractJDBCComponent() - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
AbstractJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
  Implementation which stores the reverse long-to-String mapping in a database.
AbstractJDBCIDMigrator(DataSource, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
AbstractJob - Class in org.apache.mahout.common
  Superclass of many Mahout Hadoop "jobs".
AbstractJob() - Constructor for class org.apache.mahout.common.AbstractJob
AbstractLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
AbstractLongPrimitiveIterator() - Constructor for class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
AbstractNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
  Class implementing the Naive Bayes Classifier Algorithm.
AbstractNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
AbstractOnlineLogisticRegression - Class in org.apache.mahout.classifier.sgd
  Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.
AbstractOnlineLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
AbstractParameter<T> - Class in org.apache.mahout.common.parameters
AbstractParameter(Class<T>, String, String, Configuration, T, String) - Constructor for class org.apache.mahout.common.parameters.AbstractParameter
AbstractRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
AbstractRecommender(DataModel, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
AbstractRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
AbstractThetaTrainer - Class in org.apache.mahout.classifier.naivebayes.training
AbstractThetaTrainer(Vector, Vector, double) - Constructor for class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
AbstractVectorClassifier - Class in org.apache.mahout.classifier
  Defines the interface for classifiers that take a vector as input.
AbstractVectorClassifier() - Constructor for class org.apache.mahout.classifier.AbstractVectorClassifier
ABtDenseOutJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Computes ABt products, then first step of QR which is pushed down to the reducer.
ABtDenseOutJob.ABtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
  So, here, i preload A block into memory.
ABtDenseOutJob.ABtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
ABtDenseOutJob.QRReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd
  QR first step pushed down to reducer.
ABtDenseOutJob.QRReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
ABtJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Computes ABt products, then first step of QR which is pushed down to the reducer.
ABtJob.ABtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
  So, here, i preload A block into memory.
ABtJob.ABtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
ABtJob.QRReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd
  QR first step pushed down to reducer.
ABtJob.QRReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
accumDots(int, double, double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
accumDots(int, double, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
accumSize - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
accumSize - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
accumulate(IntArrayList, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Adds an itemset with the given occurrance count.
accumulate(List<Integer>, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Adds an itemset with the given occurrance count.
accumulate(long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
AdaptiveLogisticRegression - Class in org.apache.mahout.classifier.sgd
  This is a meta-learner that maintains a pool of ordinary `OnlineLogisticRegression` learners.
AdaptiveLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
AdaptiveLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  Uses `AdaptiveLogisticRegression.DEFAULT_THREAD_COUNT` and `AdaptiveLogisticRegression.DEFAULT_POOL_SIZE`
AdaptiveLogisticRegression(int, int, PriorFunction, int, int) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
AdaptiveLogisticRegression.TrainingExample - Class in org.apache.mahout.classifier.sgd
AdaptiveLogisticRegression.TrainingExample(long, String, int, Vector) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
AdaptiveLogisticRegression.Wrapper - Class in org.apache.mahout.classifier.sgd
  Provides a shim between the EP optimization stuff and the CrossFoldLearner.
AdaptiveLogisticRegression.Wrapper() - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
AdaptiveLogisticRegression.Wrapper(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
AdaptiveWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes words into vectors much as does WordValueEncoder while maintaining an adaptive dictionary of values seen so far.
AdaptiveWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
add(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
add(SimilarItems) - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
add(SimilarItems) - Method in interface org.apache.mahout.cf.taste.similarity.precompute.SimilarItemsWriter
add(int[], int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils
  foreach i : array1[i] += array2[i]
add(int, double) - Method in class org.apache.mahout.classifier.evaluation.Auc
  Adds a score to the AUC buffers.
add(int, int) - Method in class org.apache.mahout.classifier.evaluation.Auc
add(Integer) - Method in class org.apache.mahout.common.IntegerTuple
  add an entry to the end of the list
add(String) - Method in class org.apache.mahout.common.StringTuple
  add an entry to the end of the list
add(State<T, U>) - Method in class org.apache.mahout.ep.EvolutionaryProcess
add(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
add(Vector) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
add(Vector) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
  Add a new Vector to the Searcher that will be checked when getting the nearest neighbors.
add(Vector) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
add(Vector) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
  Adds a WeightedVector into the set of projections for later searching.
add(Vector) - Method in class org.apache.mahout.math.neighborhood.Searcher
  Add a new Vector to the Searcher that will be checked when getting the nearest neighbors.
addable(long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
addAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
addAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
addAll(FrequentPatternMaxHeap, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
addAll(Iterable<? extends Vector>) - Method in class org.apache.mahout.math.neighborhood.Searcher
  Adds all the data elements in the Searcher.
addAllMatrixSlices(Iterable<MatrixSlice>) - Method in class org.apache.mahout.math.neighborhood.Searcher
  Adds all the data elements in the Searcher.
addAllMatrixSlicesAsWeightedVectors(Iterable<MatrixSlice>) - Method in class org.apache.mahout.math.neighborhood.Searcher
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
addDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
addDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Add a dependency to be refreshed first when the encapsulating object does.
addFlag(String, String, String) - Method in class org.apache.mahout.common.AbstractJob
  Add an option with no argument whose presence can be checked for using `containsKey` method on the map returned by `AbstractJob.parseArguments(String[])`;
addHeaderCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addHeaderNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addInputOption() - Method in class org.apache.mahout.common.AbstractJob
  Add the default input directory option, '-i' which takes a directory name as an argument.
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ConfusionMatrix
addInstance(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
addInstance(double, double) - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ResultAnalyzer
addInteractionToVector(String, String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addInteractionToVector(byte[], byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addLayer(int, boolean, String) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Add a layer of neurons with specified size.
addModel(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
addOption(String, String, String) - Method in class org.apache.mahout.common.AbstractJob
  Add an option to the the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOption(String, String, String, boolean) - Method in class org.apache.mahout.common.AbstractJob
  Add an option to the the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOption(String, String, String, String) - Method in class org.apache.mahout.common.AbstractJob
  Add an option to the the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOption(Option) - Method in class org.apache.mahout.common.AbstractJob
  Add an arbitrary option to the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOutputOption() - Method in class org.apache.mahout.common.AbstractJob
  Add the default output directory option, '-o' which takes a directory name as an argument.
addPattern(IntArrayList, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
addPointToCanopies(Vector, Collection<Canopy>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  This is the same algorithm as the reference but inverted to iterate over existing canopies instead of the points.
addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
addSample(int, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
addSample(int, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
addSample(int, String, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc
addSample(int, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc
addText(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds text to the internal word counter, but delays converting it to vector form until flush is called.
addText(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds text to the internal word counter, but delays converting it to vector form until flush is called.
addToHistory(int, Vector) - Method in class org.apache.mahout.classifier.sgd.RankingGradient
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
  Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
  Adds a value to a vector.
addToVector(String, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Adds a value expressed in string form to a vector.
addToVector(byte[], Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Adds a value expressed in byte array form to a vector.
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Adds a weighted value expressed in string form to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds a value to a vector after tokenizing it by splitting on non-alphanum characters.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
  Adds a value to a vector.
adjust(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
AFFINITY_DIMENSIONS - Static variable in class org.apache.mahout.clustering.spectral.Keys
AffinityMatrixInputJob - Class in org.apache.mahout.clustering.spectral
AffinityMatrixInputMapper - Class in org.apache.mahout.clustering.spectral
  Handles reading the files representing the affinity matrix.
AffinityMatrixInputMapper() - Constructor for class org.apache.mahout.clustering.spectral.AffinityMatrixInputMapper
AffinityMatrixInputReducer - Class in org.apache.mahout.clustering.spectral
  Tasked with taking each DistributedRowMatrix entry and collecting them into vectors corresponding to rows.
AffinityMatrixInputReducer() - Constructor for class org.apache.mahout.clustering.spectral.AffinityMatrixInputReducer
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L1
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L2
age(double, double, double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction
  Applies the regularization to a coefficient.
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.TPrior
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
aggregate(double, double) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
AggregateAndRecommendReducer - Class in org.apache.mahout.cf.taste.hadoop.item
  computes prediction values for each user
AggregateAndRecommendReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
AggregatorMapper - Class in org.apache.mahout.fpm.pfpgrowth
  outputs the pattern for each item in the pattern, so that reducer can group them and select the top K frequent patterns
AggregatorMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
AggregatorReducer - Class in org.apache.mahout.fpm.pfpgrowth
  groups all Frequent Patterns containing an item and outputs the top K patterns containing that particular item
AggregatorReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
allItemFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
allSimilarItemIDs(long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
AllSimilarItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
  returns the result of `ItemSimilarity.allSimilarItemIDs(long)` as candidate items
AllSimilarItemsCandidateItemsStrategy(ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy
AllUnknownItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
AllUnknownItemsCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy
allUserFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
alpha(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
alpha(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
  Chainable configuration option.
ALPHA_I - Static variable in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
alphaI() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
alphaI() - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
ALSWRFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  factorizes the rating matrix using "Alternating-Least-Squares with Weighted-λ-Regularization" as described in "Large-scale Collaborative Filtering for the Netflix Prize" also supports the implicit feedback variant of this approach as described in "Collaborative Filtering for Implicit Feedback Datasets" available at http://research.yahoo.com/pub/2433
ALSWRFactorizer(DataModel, int, double, int, boolean, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ALSWRFactorizer(DataModel, int, double, int, boolean, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ALSWRFactorizer(DataModel, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ANALYZER_CLASS - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor
ANALYZER_NAME - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
ANALYZER_NAME_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
analyzerOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specifying a Lucene analyzer class
AnalyzerUtils - Class in org.apache.mahout.common.lucene
appendRow(double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
  api for row-by-row addition
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.DefaultGradient
  Provides a default gradient computation useful for logistic regression.
apply(String, int, Vector, AbstractVectorClassifier) - Method in interface org.apache.mahout.classifier.sgd.Gradient
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.MixedGradient
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.RankingGradient
apply(T, double[]) - Method in interface org.apache.mahout.ep.EvolutionaryProcess.Function
apply(double) - Method in class org.apache.mahout.ep.Mapping.Exponential
apply(double) - Method in class org.apache.mahout.ep.Mapping.Identity
apply(double) - Method in class org.apache.mahout.ep.Mapping.LogLimit
apply(double) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
applyGivensInPlace(double, double, double[], double[], int, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
applyGivensInPlace(double, double, Vector, Vector, int, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
applyGivensInPlace(double, double, int, int, Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
argMap - Variable in class org.apache.mahout.common.AbstractJob
asFormatString(String[]) - Method in class org.apache.mahout.clustering.AbstractCluster
asFormatString() - Method in class org.apache.mahout.clustering.canopy.Canopy
asFormatString(String[]) - Method in interface org.apache.mahout.clustering.Cluster
  Produce a custom, human-friendly, printable representation of the Cluster.
asFormatString() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
asFormatString() - Method in class org.apache.mahout.clustering.kmeans.Kluster
assign(HmmModel) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Assign the content of another HMM model to this one
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
attribute() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
attrIterableRev() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Returns an Iterable over the attributes in the tree, sorted by frequency (high to low).
Auc - Class in org.apache.mahout.classifier.evaluation
  Computes AUC and a few other accuracy statistics without storing huge amounts of data.
Auc(double) - Constructor for class org.apache.mahout.classifier.evaluation.Auc
  Allocates a new data-structure for accumulating information about AUC and a few other accuracy measures.
Auc() - Constructor for class org.apache.mahout.classifier.evaluation.Auc
auc() - Method in class org.apache.mahout.classifier.evaluation.Auc
  Computes the AUC of points seen so far.
auc() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  What is the AUC for the current best member of the population.
auc() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
auc() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
auc() - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
auc() - Method in interface org.apache.mahout.math.stats.OnlineAuc
AverageAbsoluteDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  A `RecommenderEvaluator` which computes the average absolute difference between predicted and actual ratings for users.
AverageAbsoluteDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
AveragingPreferenceInferrer - Class in org.apache.mahout.cf.taste.impl.similarity
  Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
AveragingPreferenceInferrer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer

## B

BACKFILL_PERPLEXITY - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
backwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms
  External function to compute a matrix of beta factors
Bagging - Class in org.apache.mahout.classifier.df
  Builds a tree using bagging
Bagging(TreeBuilder, Data) - Constructor for class org.apache.mahout.classifier.df.Bagging
bagging(Random) - Method in class org.apache.mahout.classifier.df.data.Data
  if data has N cases, sample N cases at random -but with replacement.
bagging(Random, boolean[]) - Method in class org.apache.mahout.classifier.df.data.Data
  if data has N cases, sample N cases at random -but with replacement.
BallKMeans - Class in org.apache.mahout.clustering.streaming.cluster
  Implements a ball k-means algorithm for weighted vectors with probabilistic seeding similar to k-means++.
BallKMeans(UpdatableSearcher, int, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans
BallKMeans(UpdatableSearcher, int, int, boolean, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans
BallKMeans(UpdatableSearcher, int, int, double, boolean, boolean, double, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans
BasicStats - Class in org.apache.mahout.math.hadoop.stats
  Methods for calculating basic stats (mean, variance, stdDev, etc.) in map/reduce
BASIS_PREFIX - Static variable in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
BatchItemSimilarities - Class in org.apache.mahout.cf.taste.similarity.precompute
BatchItemSimilarities(ItemBasedRecommender, int) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
batchTrain(Map<Vector, Vector>, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
BaumWelchTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm
  A class for EM training of HMM from console
BayesTestMapper - Class in org.apache.mahout.classifier.naivebayes.test
  Run the input through the model and see if it matches.
BayesTestMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper
BayesUtils - Class in org.apache.mahout.classifier.naivebayes
beta - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
biasLearningRate - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
biasReg - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
BLOCKHEIGHT - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
BOOLEAN_DATA - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
BooleanItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `BooleanUserPreferenceArray` but stores preferences for one item (all item IDs the same) rather than one user.
BooleanItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
BooleanItemPreferenceArray(List<? extends Preference>, boolean) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
BooleanPreference - Class in org.apache.mahout.cf.taste.impl.model
  Encapsulates a simple boolean "preference" for an item whose value does not matter (is fixed at 1.0).
BooleanPreference(long, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanPreference
BooleanUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `GenericUserPreferenceArray` but stores, conceptually, `BooleanPreference` objects which have no associated preference value.
BooleanUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
BooleanUserPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
BOTTOM_LEVEL_CLUSTER_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
BruteSearch - Class in org.apache.mahout.math.neighborhood
  Search for nearest neighbors using a complete search (i.e.
BruteSearch(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.BruteSearch
BtJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Bt job.
BtJob.BtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
BtJob.BtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
BtJob.OuterProductCombiner - Class in org.apache.mahout.math.hadoop.stochasticsvd
BtJob.OuterProductCombiner() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
BtJob.OuterProductReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd
BtJob.OuterProductReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
build(Random) - Method in class org.apache.mahout.classifier.df.Bagging
  Builds one tree
build(Random, Data) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
build(Random, Data) - Method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder
build(Random, Data) - Method in interface org.apache.mahout.classifier.df.builder.TreeBuilder
  Builds a Decision tree using the training data
build(int) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
build(int) - Method in class org.apache.mahout.classifier.df.ref.SequentialBuilder
buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, int, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Convenience method for backwards compatibility
buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, double, double, int, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Build a directory of Canopy clusters from the input vectors and other arguments.
buildClusters(Configuration, Path, Path, Path, double, int, float, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Iterate over the input vectors to produce cluster directories for each iteration
buildClusters(Configuration, Path, Path, Path, int, String, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Iterate over the input vectors to produce cluster directories for each iteration
buildDataModel(FastByIDMap<PreferenceArray>) - Method in interface org.apache.mahout.cf.taste.eval.DataModelBuilder
  Builds a `DataModel` implementation to be used in an evaluation, given training data.
buildDirList(FileSystem, FileStatus) - Static method in class org.apache.mahout.common.HadoopUtil
  Builds a comma-separated list of input splits
buildDirList(FileSystem, FileStatus, PathFilter) - Static method in class org.apache.mahout.common.HadoopUtil
  Builds a comma-separated list of input splits
Builder - Class in org.apache.mahout.classifier.df.mapreduce
  Base class for Mapred DecisionForest builders.
Builder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.Builder
buildFromEigens(Configuration, Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.kmeans.EigenSeedGenerator
buildModel() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
buildOption(String, String, String, boolean, boolean, String) - Static method in class org.apache.mahout.common.AbstractJob
  Build an option with the given parameters.
buildOption(String, String, String, boolean, int, int, boolean, String) - Static method in class org.apache.mahout.common.AbstractJob
buildRandom(Configuration, Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
buildRecommender(DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderBuilder
  Builds a `Recommender` implementation to be evaluated, using the given `DataModel`.
buildRefreshed(Collection<Refreshable>) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Creates a new and empty `Collection` if the method parameter is `null`.
buildTransposeJobConf(Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
buildTransposeJobConf(Configuration, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
bytesForString(String) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
ByValueRecommendedItemComparator - Class in org.apache.mahout.cf.taste.impl.recommender
  Defines a natural ordering from most-preferred item (highest value) to least-preferred.
ByValueRecommendedItemComparator() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator

## C

Cache<K,V> - Class in org.apache.mahout.cf.taste.impl.common
  An efficient Map-like class which caches values for keys.
Cache(Retriever<? super K, ? extends V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache
  Creates a new cache based on the given `Retriever`.
Cache(Retriever<? super K, ? extends V>, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache
  Creates a new cache based on the given `Retriever` and with given maximum size.
Cache.MatchPredicate<T> - Interface in org.apache.mahout.cf.taste.impl.common
  Used by {#link #removeKeysMatching(Object)} to decide things that are matching.
cacheFiles(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
CachingContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingContinuousValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
CachingCVB0Mapper - Class in org.apache.mahout.clustering.lda.cvb
  Run ensemble learning via loading the `ModelTrainer` with two `TopicModel` instances: one from the previous iteration, the other empty.
CachingCVB0Mapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
CachingCVB0PerplexityMapper - Class in org.apache.mahout.clustering.lda.cvb
CachingCVB0PerplexityMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
CachingCVB0PerplexityMapper.Counters - Enum in org.apache.mahout.clustering.lda.cvb
  Hadoop counters for `CachingCVB0PerplexityMapper`, to aid in debugging.
CachingItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Caches the results from an underlying `ItemSimilarity` implementation.
CachingItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
  Creates this on top of the given `ItemSimilarity`.
CachingItemSimilarity(ItemSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
  Creates this on top of the given `ItemSimilarity`.
CachingRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A `Recommender` which caches the results from another `Recommender` in memory.
CachingRecommender(Recommender) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
CachingStaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingStaticWordValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
CachingTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingTextValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingTextValueEncoder
CachingUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
  A caching wrapper around an underlying `UserNeighborhood` implementation.
CachingUserNeighborhood(UserNeighborhood, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
CachingUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Caches the results from an underlying `UserSimilarity` implementation.
CachingUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
  Creates this on top of the given `UserSimilarity`.
CachingUserSimilarity(UserSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
  Creates this on top of the given `UserSimilarity`.
CachingValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Provides basic hashing semantics for encoders where the probe locations depend only on the name of the variable.
CachingValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
calcRelativeFilePath(Configuration, Path) - Static method in class org.apache.mahout.common.HadoopUtil
calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TF
calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TFIDF
calculate(int, int, int, int) - Method in interface org.apache.mahout.vectorizer.Weight
  Experimental
calculateConvergence(double) - Method in class org.apache.mahout.clustering.kmeans.Kluster
calculateDerivativeValue(double, double) - Method in interface org.apache.mahout.clustering.kernel.IKernelProfile
calculateDerivativeValue(double, double) - Method in class org.apache.mahout.clustering.kernel.TriangularKernelProfile
calculateDF(Path, Path, Configuration, int) - Static method in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
  Calculates the document frequencies of all terms from the input set of vectors in `SequenceFile` format.
calculatePerplexity(VectorIterable, VectorIterable) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
calculatePerplexity(VectorIterable, VectorIterable, double) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
calculatePerplexity(Vector, Vector, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
call() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable
call() - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread
CandidateItemsStrategy - Interface in org.apache.mahout.cf.taste.recommender
  Used to retrieve all items that could possibly be recommended to the user
Canopy - Class in org.apache.mahout.clustering.canopy
  This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.
Canopy() - Constructor for class org.apache.mahout.clustering.canopy.Canopy
  Used for deserialization as a writable
Canopy(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.canopy.Canopy
  Create a new Canopy containing the given point and canopyId
CanopyClusterer - Class in org.apache.mahout.clustering.canopy
CanopyClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
CanopyClusterer(Configuration) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
CanopyClusteringPolicy - Class in org.apache.mahout.clustering.iterator
  This is a simple maximum likelihood clustering policy, suitable for k-means clustering
CanopyClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
CanopyConfigKeys - Class in org.apache.mahout.clustering.canopy
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Return if the point is covered by the canopy
CanopyDriver - Class in org.apache.mahout.clustering.canopy
CanopyDriver() - Constructor for class org.apache.mahout.clustering.canopy.CanopyDriver
CanopyReducer - Class in org.apache.mahout.clustering.canopy
CanopyReducer() - Constructor for class org.apache.mahout.clustering.canopy.CanopyReducer
capEstimate(float) - Method in class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper
capToMaxValue(float) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
CARDINALITY - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
castVectorsToCentroids(Iterable<Vector>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR
  Returns an Iterable of Centroid from an Iterable of Vector by either casting each Vector to Centroid (if the instance extends Centroid) or create a new Centroid based on that Vector.
CategoricalNode - Class in org.apache.mahout.classifier.df.node
CategoricalNode() - Constructor for class org.apache.mahout.classifier.df.node.CategoricalNode
CategoricalNode(int, double[], Node[]) - Constructor for class org.apache.mahout.classifier.df.node.CategoricalNode
CentroidWritable - Class in org.apache.mahout.clustering.streaming.mapreduce
CentroidWritable() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
CentroidWritable(Centroid) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
centroidWritablesToList(Iterable<CentroidWritable>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
CF_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
changeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
ChebyshevDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a "Chebyshev distance" metric by finding the maximum difference between each coordinate.
ChebyshevDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
checkNotNullAndLog(String, Object) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
checkNotNullAndLog(String, Object[]) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
child(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
childCount() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
children() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
choose2(double) - Static method in class org.apache.mahout.clustering.ClusteringUtils
CHOOSE_THRESHOLD - Static variable in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
  Pass as "relevanceThreshold" argument to `GenericRecommenderIRStatsEvaluator.evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double)` to have it attempt to compute a reasonable threshold.
CIMapper - Class in org.apache.mahout.clustering.iterator
CIMapper() - Constructor for class org.apache.mahout.clustering.iterator.CIMapper
CIReducer - Class in org.apache.mahout.clustering.iterator
CIReducer() - Constructor for class org.apache.mahout.clustering.iterator.CIReducer
CityBlockSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Implementation of City Block distance (also known as Manhattan distance) - the absolute value of the difference of each direction is summed.
CityBlockSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
CityBlockSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CityBlockSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CityBlockSimilarity
Classifier - Class in org.apache.mahout.classifier.df.mapreduce
  Mapreduce implementation that classifies the Input data using a previousely built decision forest
Classifier(Path, Path, Path, Path, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.Classifier
Classifier.CMapper - Class in org.apache.mahout.classifier.df.mapreduce
Classifier.CMapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper
ClassifierResult - Class in org.apache.mahout.classifier
  Result of a document classification.
ClassifierResult() - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String) - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String, double, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult
classify(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Compute and return a vector containing `n-1` scores, where `n` is equal to `numCategories()`, given an input vector `instance`.
classify(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns n-1 probabilities, one for each categories 1 through `n-1`, for each row of a matrix, where `n` is equal to `numCategories()`.
classify(Data, double[][]) - Method in class org.apache.mahout.classifier.df.DecisionForest
  Classifies the data and calls callback for each classification
classify(Dataset, Random, Instance) - Method in class org.apache.mahout.classifier.df.DecisionForest
  predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.Leaf
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.Node
  predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.NumericalNode
classify(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
  Unsupported method.
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Returns n-1 probabilities, one for each category but the 0-th.
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
classify(Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
classify(Vector, ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
classify(Vector, ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy
  Classify the data vector given the classifier's models
classify(Vector, ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
classifyFull(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Computes and returns a vector containing `n` scores, where `n` is `numCategories()`, given an input vector `instance`.
classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Computes and returns a vector containing `n` scores, where `n` is `numCategories()`, given an input vector `instance`.
classifyFull(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns a matrix where the rows of the matrix each contain `n` probabilities, one for each category.
classifyFull(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Compute and return a vector of scores before applying the inverse link function.
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Classifies a vector in the special case of a binary classifier where `AbstractVectorClassifier.classify(Vector)` would return a vector with only one element.
classifyScalar(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns a vector of probabilities of category 1, one for each row of a matrix.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
  Unsupported method.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Returns a single scalar probability in the case where we have two categories.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
classifyScalar(Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
classifyScalarNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
ClassParameter - Class in org.apache.mahout.common.parameters
ClassParameter(String, String, Configuration, Class<?>, String) - Constructor for class org.apache.mahout.common.parameters.ClassParameter
ClassUtils - Class in org.apache.mahout.common
CLEAN_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
cleanup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper
cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
cleanup(Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper
cleanup(Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
cleanup(Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper
  The column-wise sum is written at the cleanup stage.
cleanup(Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper
cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
cleanup(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
cleanup(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
cleanup(Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
cleanup(Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
cleanup(Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
cleanup() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
cleanup(Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
cleanup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer
clear() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Clears the cache.
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
clear(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
  Clears cached recommendations for the given user.
clear() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
  Clears all cached recommendations.
clear() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
clear() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
clear() - Method in class org.apache.mahout.math.neighborhood.BruteSearch
clear() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
clear() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
clear() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
clear() - Method in class org.apache.mahout.math.neighborhood.Searcher
clear() - Method in class org.apache.mahout.math.neighborhood.UpdatableSearcher
clearCacheForItem(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
clearCacheForUser(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
clearConditional() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
clearTempPrefs(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
  Clears temporary preferences for a given anonymous user.
clearTempPrefs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
clone() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
clone() - Method in class org.apache.mahout.classifier.df.data.Data
clone() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
clone() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
clone() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Get a copy of this model
clone() - Method in class org.apache.mahout.common.IntPairWritable
clone() - Method in class org.apache.mahout.math.VarIntWritable
close() - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
close() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
close() - Method in class org.apache.mahout.classifier.mlp.MultilayerPerceptron
close() - Method in interface org.apache.mahout.classifier.OnlineLearner
  Prepares the classifier for classification and deallocates any temporary data structures.
close() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
close() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
close() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
close() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
close() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
close() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
close(ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy
  Close the policy using the classifier's models
close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
close(Collection<? extends Closeable>) - Static method in class org.apache.mahout.common.IOUtils
  make sure to close all sources, log all of the problems occurred, clear `closeables` (to prevent repeating close attempts), re-throw the last one at the end.
close() - Method in class org.apache.mahout.common.IOUtils.DeleteFileOnClose
close() - Method in class org.apache.mahout.common.IOUtils.MultipleOutputsCloseableAdapter
close() - Method in class org.apache.mahout.common.iterator.FileLineIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
close() - Method in class org.apache.mahout.ep.EvolutionaryProcess
close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator
close() - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
closeables - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
closeables - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
Cluster - Interface in org.apache.mahout.clustering
  Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
cluster(List<? extends WeightedVector>) - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans
  Clusters the datapoints in the list doing either random seeding of the centroids or k-means++.
cluster(Matrix) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
  Cluster the rows of a matrix, treating them as Centroids with weight 1.
cluster(Iterable<Centroid>) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
  Cluster the data points in an Iterable<Centroid>.
cluster(Centroid) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
  Cluster one data point.
CLUSTER_FILTER_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
ClusterClassificationConfigKeys - Class in org.apache.mahout.clustering.classify
  Constants used in Cluster Classification.
ClusterClassificationDriver - Class in org.apache.mahout.clustering.classify
  Classifies the vectors into different clusters found by the clustering algorithm.
ClusterClassificationMapper - Class in org.apache.mahout.clustering.classify
  Mapper for classifying vectors into clusters.
ClusterClassificationMapper() - Constructor for class org.apache.mahout.clustering.classify.ClusterClassificationMapper
ClusterClassifier - Class in org.apache.mahout.clustering.classify
  This classifier works with any ClusteringPolicy and its associated Clusters.
ClusterClassifier(List<Cluster>, ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier
  The public constructor accepts a list of clusters to become the models
ClusterClassifier() - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier
ClusterClassifier(ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier
ClusterCountReader - Class in org.apache.mahout.clustering.topdown.postprocessor
  Reads the number of clusters produced by the clustering algorithm.
clusterData(Configuration, Path, Path, Path, double, float, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Run the job using supplied arguments
clusterData(Configuration, Path, Path, Path, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Run the job using supplied arguments
CLUSTERED_POINTS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
clusterFilterOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
CLUSTERING_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
clusteringOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for clustering specification.
ClusteringPolicy - Interface in org.apache.mahout.clustering.iterator
  A ClusteringPolicy captures the semantics of assignment of points to clusters
ClusteringPolicyWritable - Class in org.apache.mahout.clustering.iterator
ClusteringPolicyWritable(ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
ClusteringPolicyWritable() - Constructor for class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
ClusteringUtils - Class in org.apache.mahout.clustering
ClusterIterator - Class in org.apache.mahout.clustering.iterator
  This is a clustering iterator which works with a set of Vector data and a prior ClusterClassifier which has been initialized with a set of models.
ClusterOutputPostProcessor - Class in org.apache.mahout.clustering.topdown.postprocessor
  This class reads the output of any clustering algorithm, and, creates separate directories for different clusters.
ClusterOutputPostProcessor(Path, Path, Configuration) - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
ClusterOutputPostProcessorDriver - Class in org.apache.mahout.clustering.topdown.postprocessor
  Post processes the output of clustering algorithms and groups them into respective clusters.
ClusterOutputPostProcessorMapper - Class in org.apache.mahout.clustering.topdown.postprocessor
  Mapper for post processing cluster output.
ClusterOutputPostProcessorMapper() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper
ClusterOutputPostProcessorReducer - Class in org.apache.mahout.clustering.topdown.postprocessor
  Reducer for post processing cluster output.
ClusterOutputPostProcessorReducer() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer
CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
CLUSTERS_IN - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys
CLUSTERS_IN_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
clustersInOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for clusters input directory specification.
ClusterWritable - Class in org.apache.mahout.clustering.iterator
ClusterWritable(Cluster) - Constructor for class org.apache.mahout.clustering.iterator.ClusterWritable
ClusterWritable() - Constructor for class org.apache.mahout.clustering.iterator.ClusterWritable
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
collect(Integer, List<Pair<List<Integer>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
collect(String, List<Pair<List<String>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
collect(Integer, FrequentPatternMaxHeap) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
collect(Writable, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
collect(Long, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator
CollocCombiner - Class in org.apache.mahout.vectorizer.collocations.llr
  Combiner for pass1 of the CollocationDriver.
CollocCombiner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner
CollocDriver - Class in org.apache.mahout.vectorizer.collocations.llr
  Driver for LLR Collocation discovery mapreduce job
CollocDriver() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
CollocMapper - Class in org.apache.mahout.vectorizer.collocations.llr
  Pass 1 of the Collocation discovery job which generated ngrams and emits ngrams an their component n-1grams.
CollocMapper() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
CollocMapper.Count - Enum in org.apache.mahout.vectorizer.collocations.llr
CollocReducer - Class in org.apache.mahout.vectorizer.collocations.llr
  Reducer for Pass 1 of the collocation identification job.
CollocReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
CollocReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr
columnMeans() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
columnMeans(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
  Returns the column-wise mean of a DistributedRowMatrix
CommandLineUtil - Class in org.apache.mahout.common
compare(RecommendedItem, RecommendedItem) - Method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.Comparator
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
compare(Object, Object) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
compare(Pair<A, B>, Pair<A, B>) - Method in class org.apache.mahout.fpm.pfpgrowth.CountDescendingPairComparator
compare(Object, Object) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable.SplitGroupingComparator
COMPARE_BY_SIMILARITY - Static variable in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
compareTo(EntityEntityWritable) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
compareTo(SimilarUser) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
  Defines an ordering from most similar to least similar.
compareTo(GenericItemSimilarity.ItemItemSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
  Defines an ordering from highest similarity to lowest.
compareTo(GenericUserSimilarity.UserUserSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
  Defines an ordering from highest similarity to lowest.
compareTo(ModelDissector.Weight) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
compareTo(IntegerTuple) - Method in class org.apache.mahout.common.IntegerTuple
compareTo(BinaryComparable) - Method in class org.apache.mahout.common.IntPairWritable
compareTo(IntPairWritable.Frequency) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
compareTo(LongPair) - Method in class org.apache.mahout.common.LongPair
compareTo(Pair<A, B>) - Method in class org.apache.mahout.common.Pair
  Defines an ordering on pairs that sorts by first value's natural ordering, ascending, and then by second value's natural ordering.
compareTo(StringTuple) - Method in class org.apache.mahout.common.StringTuple
compareTo(State<T, U>) - Method in class org.apache.mahout.ep.State
  Natural order is to sort in descending order of score.
compareTo(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
compareTo(DistributedRowMatrix.MatrixEntryWritable) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
compareTo(SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
compareTo(VarIntWritable) - Method in class org.apache.mahout.math.VarIntWritable
compareTo(VarLongWritable) - Method in class org.apache.mahout.math.VarLongWritable
COMPLEMENTARY - Static variable in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
ComplementaryNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
  Class implementing the Naive Bayes Classifier Algorithm
ComplementaryNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
ComplementaryThetaTrainer - Class in org.apache.mahout.classifier.naivebayes.training
ComplementaryThetaTrainer(Vector, Vector, double) - Constructor for class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
compute() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
  Compute the mean, variance and standard deviation
compute() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
compute() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
computeCentroid() - Method in class org.apache.mahout.clustering.AbstractCluster
  Compute the centroid by averaging the pointTotals
computeConvergence(DistanceMeasure, double) - Method in class org.apache.mahout.clustering.kmeans.Kluster
  Return if the cluster is converged by comparing its center and centroid.
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
computeHash64(Vector, Matrix) - Static method in class org.apache.mahout.math.neighborhood.HashedVector
computeItemSimilarities(int, int, SimilarItemsWriter) - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities
computeItemSimilarities(int, int, SimilarItemsWriter) - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
computeMean() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
computeNext() - Method in class org.apache.mahout.common.iterator.CountingIterator
computeNext() - Method in class org.apache.mahout.common.iterator.FileLineIterator
computeNext() - Method in class org.apache.mahout.common.iterator.SamplingIterator
computeNext() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
computeNext() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
computeNext() - Method in class org.apache.mahout.common.lucene.TokenStreamIterator
computeNext() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
computeParameters() - Method in class org.apache.mahout.clustering.AbstractCluster
computeParameters() - Method in interface org.apache.mahout.clustering.Model
  Compute a new set of posterior parameters based upon the Observations that have been observed since my creation
computePi(Collection<SoftCluster>, List<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
computeProbWeight(double, Iterable<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  Computes the probability of a point belonging to a cluster
computeQtHat(double[][], int, Iterator<UpperTriangular>) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.DefaultIgSplit
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.IgSplit
  Computes the best split for the given attribute
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.OptIgSplit
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.RegressionSplit
computeU(Iterable<File>, File) - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
computeV(File, int) - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
computeVariance() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
computeVarianceForGivenMean(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
computeWeight(double, double, double, double, double, double) - Static method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
computeWeight(double, double, double, double) - Static method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
computeYRow(Vector, double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
  Deprecated.
computeYRow(Vector, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
  A version to compute yRow as a sparse vector in case of extremely sparse matrices
Condition - Class in org.apache.mahout.classifier.df.data.conditions
  Condition on Instance
Condition() - Constructor for class org.apache.mahout.classifier.df.data.conditions.Condition
conditional(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
conf(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
config(DistanceMeasure, double, double) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Configure the Canopy for unit tests
configure(boolean, TreeBuilder, Dataset) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper
  Useful for testing
configure(Long, int, int, int) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
  Useful when testing
configure(Configuration) - Method in class org.apache.mahout.clustering.AbstractCluster
configure(Configuration) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Configure the Canopy and its distance measure
configure(Configuration) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
configure(Configuration) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter
configure(Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Used by the inheriting classes to configure the job
configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder
configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder
configureOptionsForWorkers(Configuration, int, int, float, int, float, boolean, boolean, float, int, String, String, int, int, String, boolean) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  Checks the parameters for a StreamingKMeans job and prepares a Configuration with them.
configureParameters(Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
configureParameters(String, Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
  Calls `Parametered.createParameters(String,org.apache.hadoop.conf.Configuration)` on parameter parmetered, and then recur down its composite tree to invoke `Parametered.createParameters(String,org.apache.hadoop.conf.Configuration)` and `Parametered.configure(org.apache.hadoop.conf.Configuration)` on each composite part.
confusion() - Method in class org.apache.mahout.classifier.evaluation.Auc
  Returns the confusion matrix for the classifier supposing that we were to use a particular threshold.
ConfusionMatrix - Class in org.apache.mahout.classifier
  The ConfusionMatrix Class stores the result of Classification of a Test Dataset.
ConfusionMatrix(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix
ConfusionMatrix(Matrix) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity
consider(int, int, double, double, double) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
ConstantValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  An encoder that does the standard thing for a virtual bias term.
ConstantValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
contains(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
contains(Instance) - Method in class org.apache.mahout.classifier.df.data.Data
contains(K) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
containsKey(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
containsKey(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
ContextStatusUpdater<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  Updates the Context object of a `Reducer` class
ContextStatusUpdater(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
ContextWriteOutputCollector<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  An output collector for `Reducer` for PFPGrowth which updates the status as well as writes the patterns generated by the algorithm
ContextWriteOutputCollector(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
CONTINUOUS_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
ContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Continuous values are stored in fixed randomized location in the feature vector.
ContinuousValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
CONVERGENCE_DELTA_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
convergenceOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for convergence delta specification.
convert(CharSequence) - Method in class org.apache.mahout.classifier.df.data.DataConverter
CooccurrenceCountSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CooccurrenceCountSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity
copy() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
copy() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
copy() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
copy() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
copy() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
copy() - Method in interface org.apache.mahout.ep.Payload
copy() - Method in class org.apache.mahout.ep.State
  Deep copies a state, useful in mutation.
CopyConstructorIterator<T> - Class in org.apache.mahout.common.iterator
  An iterator that copies the values in an underlying iterator by finding an appropriate copy constructor.
CopyConstructorIterator(Iterator<? extends T>) - Constructor for class org.apache.mahout.common.iterator.CopyConstructorIterator
copyFrom(AbstractOnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
copyFrom(GradientMachine) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
copyFrom(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
copyFrom(PassiveAggressive) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
CosineDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths.
CosineDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.CosineDistanceMeasure
CosineSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CosineSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
costFunctionName - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
count() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
count() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
CountbasedMeasure - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CountbasedMeasure() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
CountDescendingPairComparator<A extends Comparable<? super A>,B extends Comparable<? super B>> - Class in org.apache.mahout.fpm.pfpgrowth
  Defines an ordering on `Pair`s whose second element is a count.
CountDescendingPairComparator() - Constructor for class org.apache.mahout.fpm.pfpgrowth.CountDescendingPairComparator
CountingIterator - Class in org.apache.mahout.common.iterator
  Iterates over the integers from 0 through `to-1`.
CountingIterator(int) - Constructor for class org.apache.mahout.common.iterator.CountingIterator
countLabels(int[]) - Method in class org.apache.mahout.classifier.df.data.Data
  Counts the number of occurrences of each label value
  This method can be used when the criterion variable is the categorical attribute.
countRecords(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
countRecords(Path, PathType, PathFilter, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
  Count all the records in a directory using a `SequenceFileDirValueIterator`
createAnalyzer(String) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils
  Create an Analyzer using the latest `Version`.
createAnalyzer(String, Version) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils
createAnalyzer(Class<? extends Analyzer>) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils
  Create an Analyzer using the latest `Version`.
createAnalyzer(Class<? extends Analyzer>, Version) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils
createCanopies(List<Vector>, DistanceMeasure, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Iterate through the points, adding new canopies.
createConditionalNode(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
createFactorization(double[][], double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
createMatrixMultiplyJobConf(Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
createMatrixMultiplyJobConf(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
createMoreFreqConditionalTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Returns a conditional FP tree based on the targetAttr, containing only items that are more frequent.
createNode(int, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
createParameters(String, Configuration) - Method in class org.apache.mahout.clustering.AbstractCluster
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter
createParameters(String, Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered
  EXPERT: consumers should never have to call this method.
createQueue() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat
createRootNode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
createScoringVector() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
createTermFrequencyVectors(Path, Path, String, Configuration, int, int, float, float, boolean, int, int, boolean, boolean) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer
  Create Term Frequency (Tf) Vectors from the input set of documents in `SequenceFile` format.
createTimesJobConf(Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesJobConf(Configuration, Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Configuration, Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Configuration, Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Configuration, Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createVectors(Path, Path, VectorizerConfig) - Method in class org.apache.mahout.vectorizer.DictionaryVectorizer
createVectors(Path, Path, VectorizerConfig) - Method in class org.apache.mahout.vectorizer.SimpleTextEncodingVectorizer
createVectors(Path, Path, VectorizerConfig) - Method in interface org.apache.mahout.vectorizer.Vectorizer
crossEntropy - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  The cross entropy function (f(t, o) = -t * log(o) - (1 - t) * log(1 - o)).
CrossFoldLearner - Class in org.apache.mahout.classifier.sgd
  Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.
CrossFoldLearner() - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner
CrossFoldLearner(int, int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner
CsvRecordFactory - Class in org.apache.mahout.classifier.sgd
  Converts CSV data lines to vectors.
CsvRecordFactory(String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Construct a parser for CSV lines that encodes the parsed data in vector form.
CsvRecordFactory(String, String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory
currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
CVB0DocInferenceMapper - Class in org.apache.mahout.clustering.lda.cvb
CVB0DocInferenceMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper
CVB0Driver - Class in org.apache.mahout.clustering.lda.cvb
  See `CachingCVB0Mapper` for more details on scalability and room for improvement.
CVB0Driver() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0Driver
CVB0Driver.DualDoubleSumReducer - Class in org.apache.mahout.clustering.lda.cvb
  Sums keys and values independently.
CVB0Driver.DualDoubleSumReducer() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0Driver.DualDoubleSumReducer
CVB0TopicTermVectorNormalizerMapper - Class in org.apache.mahout.clustering.lda.cvb
  Performs L1 normalization of input vectors.
CVB0TopicTermVectorNormalizerMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0TopicTermVectorNormalizerMapper

## D

Data - Class in org.apache.mahout.classifier.df.data
  Holds a list of vectors and their corresponding Dataset.
Data(Dataset) - Constructor for class org.apache.mahout.classifier.df.data.Data
Data(Dataset, List<Instance>) - Constructor for class org.apache.mahout.classifier.df.data.Data
DataConverter - Class in org.apache.mahout.classifier.df.data
  Converts String to Instance using a Dataset
DataConverter(Dataset) - Constructor for class org.apache.mahout.classifier.df.data.DataConverter
DataLoader - Class in org.apache.mahout.classifier.df.data
  Converts the input data to a Vector Array using the information given by the Dataset.
  Generates for each line a Vector that contains :
  double parsed value for NUMERICAL attributes int value for CATEGORICAL and LABEL attributes
  adds an IGNORED first attribute that will contain a unique id for each instance, which is the line number of the instance in the input data
dataModel - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
DataModel - Interface in org.apache.mahout.cf.taste.model
  Implementations represent a repository of information about users and their associated `Preference`s for items.
DataModelBuilder - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this inner interface are simple helper classes which create a `DataModel` to be used while evaluating a `Recommender`.
Dataset - Class in org.apache.mahout.classifier.df.data
  Contains information about the attributes.
Dataset() - Constructor for class org.apache.mahout.classifier.df.data.Dataset
Dataset.Attribute - Enum in org.apache.mahout.classifier.df.data
  Attributes type
DatasetSplitter - Class in org.apache.mahout.cf.taste.hadoop.als
  Split a recommendation dataset into a training and a test set
DatasetSplitter() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter
DataUtils - Class in org.apache.mahout.classifier.df.data
  Helper methods that deals with data lists and arrays of values
daviesBouldinIndex(List<? extends Vector>, DistanceMeasure, List<OnlineSummarizer>) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Computes the Davies-Bouldin Index for a given clustering.
dec(int[], int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils
  foreach i : array1[i] -= array2[i]
decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
DecisionForest - Class in org.apache.mahout.classifier.df
  Represents a forest of decision trees.
DecisionForest(List<Node>) - Constructor for class org.apache.mahout.classifier.df.DecisionForest
DecisionTreeBuilder - Class in org.apache.mahout.classifier.df.builder
  Builds a classification tree or regression tree
  A classification tree is built when the criterion variable is the categorical attribute.
  A regression tree is built when the criterion variable is the numerical attribute.
DecisionTreeBuilder() - Constructor for class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
decode(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Returns the most likely sequence of hidden states for the given model and observation
decodeStateSequence(HmmModel, int[], boolean, String) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Decodes a given collection of state IDs into the corresponding state names registered in a given model.
decodeType(byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram
DEFAULT_CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.CanopyDriver
DEFAULT_DATASOURCE_NAME - Static variable in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
DEFAULT_EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
DEFAULT_FACTOR - Static variable in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  Default factor used if not otherwise specified, for all limits.
DEFAULT_LONG_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_MAPPING_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DEFAULT_POOL_SIZE - Static variable in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
DEFAULT_PREPARE_PATH - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
DEFAULT_STRING_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_THREAD_COUNT - Static variable in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
DefaultGradient - Class in org.apache.mahout.classifier.sgd
  Implements the basic logistic training law.
DefaultGradient() - Constructor for class org.apache.mahout.classifier.sgd.DefaultGradient
DefaultIgSplit - Class in org.apache.mahout.classifier.df.split
  Default, not optimized, implementation of IgSplit
DefaultIgSplit() - Constructor for class org.apache.mahout.classifier.df.split.DefaultIgSplit
DefaultOptionCreator - Class in org.apache.mahout.common.commandline
DefaultTreeBuilder - Class in org.apache.mahout.classifier.df.builder
  Builds a Decision Tree
  Based on the algorithm described in the "Decision Trees" tutorials by Andrew W.
DefaultTreeBuilder() - Constructor for class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder
defaultValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
defaultValue() - Method in interface org.apache.mahout.common.parameters.Parameter
defineTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Defines the values and thus the encoding of values of the target variables.
defineTargetCategories(List<String>) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
delegate() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
delegate() - Method in class org.apache.mahout.common.iterator.CopyConstructorIterator
delegate() - Method in class org.apache.mahout.common.iterator.FixedSizeSamplingIterator
delegate() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator
delegate() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator
delegate() - Method in class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator
delegate() - Method in class org.apache.mahout.common.iterator.StringRecordIterator
delegate() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
delete(Configuration, Iterable<Path>) - Static method in class org.apache.mahout.common.HadoopUtil
delete(Configuration, Path...) - Static method in class org.apache.mahout.common.HadoopUtil
DenseBlockWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Ad-hoc substitution for `MatrixWritable`.
DenseBlockWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
derivativeCrossEntropy - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  The derivation of cross entropy function (f(t, o) = -t * log(o) - (1 - t) * log(1 - o)).
derivativeIdentityFunction - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  The derivation of identity function (f(x) = x).
derivativeMinusSquared - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  The derivation of minus squared function (f(t, o) = (o - t)^2).
Describe - Class in org.apache.mahout.classifier.df.tools
  Generates a file descriptor for a given dataset
description() - Method in class org.apache.mahout.common.parameters.AbstractParameter
description() - Method in interface org.apache.mahout.common.parameters.Parameter
DescriptorException - Exception in org.apache.mahout.classifier.df.data
  Exception thrown when parsing a descriptor
DescriptorException(String) - Constructor for exception org.apache.mahout.classifier.df.data.DescriptorException
DescriptorUtils - Class in org.apache.mahout.classifier.df.data
  Contains various methods that deal with descriptor strings
determineDelimiter(String) - Static method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
DFUtils - Class in org.apache.mahout.classifier.df
  Utility class that contains various helper methods
DIAGONAL_CACHE_INDEX - Static variable in class org.apache.mahout.clustering.spectral.Keys
  Sets the SequenceFile index for the diagonal matrix.
DICTIONARY - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
Dictionary - Class in org.apache.mahout.vectorizer.encoders
  Assigns integer codes to strings as they appear.
Dictionary() - Constructor for class org.apache.mahout.vectorizer.encoders.Dictionary
DictionaryVectorizer - Class in org.apache.mahout.vectorizer
  This class converts a set of input documents in the sequence file format to vectors.
DIMENSION - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure
  Returns the distance metric applied to the arguments
distance(double, Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure
  Optimized version of distance metric for sparse vectors.
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
distance(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
  Math.pow is clever about integer-valued doubles
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
  Calculates the distance between two vectors.
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.kmeans.KMeansConfigKeys
  Configuration key for distance measure to use.
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
DISTANCE_MEASURE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
DistanceMeasure - Interface in org.apache.mahout.common.distance
  This interface is used for objects which can determine a distance metric between two points
distanceMeasure - Variable in class org.apache.mahout.math.neighborhood.Searcher
DistanceMeasureCluster - Class in org.apache.mahout.clustering.iterator
DistanceMeasureCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
DistanceMeasureCluster() - Constructor for class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
distanceMeasureOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of distance measure class to use.
DistributedConjugateGradientSolver - Class in org.apache.mahout.math.hadoop.solver
  Distributed implementation of the conjugate gradient solver.
DistributedConjugateGradientSolver() - Constructor for class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob - Class in org.apache.mahout.math.hadoop.solver
DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob() - Constructor for class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
DistributedLanczosSolver - Class in org.apache.mahout.math.hadoop.decomposer
  See the SSVD code for a better option than using this: https://cwiki.apache.org/confluence/display/MAHOUT/Stochastic+Singular+Value+Decomposition
DistributedLanczosSolver() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
DistributedLanczosSolver.DistributedLanczosSolverJob - Class in org.apache.mahout.math.hadoop.decomposer
  Inner subclass of AbstractJob so we get access to AbstractJob's functionality w.r.t.
DistributedLanczosSolver.DistributedLanczosSolverJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
DistributedRowMatrix - Class in org.apache.mahout.math.hadoop
  DistributedRowMatrix is a FileSystem-backed VectorIterable in which the vectors live in a SequenceFile<WritableComparable,VectorWritable>, and distributed operations are executed as M/R passes on Hadoop.
DistributedRowMatrix(Path, Path, int, int) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix
DistributedRowMatrix(Path, Path, int, int, boolean) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix
DistributedRowMatrix.MatrixEntryWritable - Class in org.apache.mahout.math.hadoop
DistributedRowMatrix.MatrixEntryWritable() - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
DistributedRowMatrixWriter - Class in org.apache.mahout.math
DOC_TOPIC_OUTPUT - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
DOC_TOPIC_SMOOTHING - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
DOCUMENT_VECTOR_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DocumentProcessor - Class in org.apache.mahout.vectorizer
  This class converts a set of input documents in the sequence file format of `StringTuple`s.The `SequenceFile` input should have a `Text` key containing the unique document identifier and a `Text` value containing the whole document.
doEstimatePreference(long, PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
  This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
  This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.
doEstimatePreference(long, PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy
  return all items the user has not yet seen
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy
  returns all items that have not been rated by the user and that were preferred by another user that has preferred at least one item that the current user has preferred too
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
DoubleParameter - Class in org.apache.mahout.common.parameters
DoubleParameter(String, String, Configuration, double, String) - Constructor for class org.apache.mahout.common.parameters.DoubleParameter
drmIterator(FileSystem, Path, Configuration, Deque<Closeable>) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
drmLoadAsDense(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
  helper capabiltiy to load distributed row matrices into dense matrix (to support tests mainly).
dunnIndex(List<? extends Vector>, DistanceMeasure, List<OnlineSummarizer>) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Computes the Dunn Index of a given clustering.

## E

EigenSeedGenerator - Class in org.apache.mahout.clustering.kmeans
  Given an Input Path containing a `SequenceFile`, select k vectors and write them to the output file as a `Kluster` representing the initial centroid to use.
EigenVector - Class in org.apache.mahout.math.hadoop.decomposer
  TODO this is a horrible hack.
EigenVector(Vector, double, double, int) - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVector
EigenVerificationJob - Class in org.apache.mahout.math.hadoop.decomposer
  Class for taking the output of an eigendecomposition (specified as a Path location), and verifies correctness, in terms of the following: if you have a vector e, and a matrix m, then let e' = m.timesSquared(v); the error w.r.t.
EigenVerificationJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
elapsedTime(long) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Formats a time interval in milliseconds to a String in the form "hours:minutes:seconds:millis"
ElasticBandPrior - Class in org.apache.mahout.classifier.sgd
  Implements a linear combination of L1 and L2 priors.
ElasticBandPrior() - Constructor for class org.apache.mahout.classifier.sgd.ElasticBandPrior
ElasticBandPrior(double) - Constructor for class org.apache.mahout.classifier.sgd.ElasticBandPrior
EMIT_MOST_LIKELY - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys
EMIT_MOST_LIKELY_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
emitMostLikelyOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specifying the emitMostLikely flag.
EncodedVectorsFromSequenceFiles - Class in org.apache.mahout.vectorizer
  Converts a given set of sequence files into SparseVectors
EncodedVectorsFromSequenceFiles() - Constructor for class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles
ENCODER_CLASS - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
ENCODER_FIELD_NAME - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
encodeStateSequence(HmmModel, Collection<String>, boolean, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Encodes a given collection of state names by the corresponding state IDs registered in a given model.
encodeType(Gram.Type, byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram
ENCODING - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
EncodingMapper - Class in org.apache.mahout.vectorizer
  The Mapper that does the work of encoding text
EncodingMapper() - Constructor for class org.apache.mahout.vectorizer.EncodingMapper
end() - Method in class org.apache.mahout.common.TimingStatistics.Call
end(long) - Method in class org.apache.mahout.common.TimingStatistics.Call
  Returns true if the sumTime as reached this limit;
end() - Method in class org.apache.mahout.common.TimingStatistics.LeadTimeCall
end(long) - Method in class org.apache.mahout.common.TimingStatistics.LeadTimeCall
EntityEntityWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `WritableComparable` encapsulating two items.
EntityEntityWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
EntityEntityWritable(long, long) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
EntityPrefWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `Writable` encapsulating an item ID and a preference value.
EntityPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritable(EntityPrefWritable) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
entropy(Data) - Method in class org.apache.mahout.classifier.df.split.DefaultIgSplit
  Computes the Entropy
entropy() - Method in class org.apache.mahout.classifier.evaluation.Auc
  Returns a matrix related to the confusion matrix and to the log-likelihood.
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
equals(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition
  Condition that checks if the given attribute has a value "equal" to the given value
Equals - Class in org.apache.mahout.classifier.df.data.conditions
  True if a given attribute has a given value
Equals(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.Equals
equals(Object) - Method in class org.apache.mahout.classifier.df.data.Data
equals(Object) - Method in class org.apache.mahout.classifier.df.data.Dataset
equals(Object) - Method in class org.apache.mahout.classifier.df.data.Instance
equals(Object) - Method in class org.apache.mahout.classifier.df.DecisionForest
equals(Object) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
equals(Object) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
equals(Object) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
equals(Object) - Method in class org.apache.mahout.classifier.df.node.Leaf
equals(Object) - Method in class org.apache.mahout.classifier.df.node.NumericalNode
equals(Object) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
equals(Object) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
equals(Object) - Method in class org.apache.mahout.common.IntegerTuple
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
equals(Object) - Method in class org.apache.mahout.common.LongPair
equals(Object) - Method in class org.apache.mahout.common.Pair
equals(Object) - Method in class org.apache.mahout.common.StringTuple
equals(Object) - Method in class org.apache.mahout.ep.State
equals(Object) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
equals(Object) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
equals(Object) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
equals(Object) - Method in class org.apache.mahout.math.neighborhood.HashedVector
equals(Object) - Method in class org.apache.mahout.math.VarIntWritable
equals(Object) - Method in class org.apache.mahout.math.VarLongWritable
equals(Object) - Method in class org.apache.mahout.math.VectorWritable
ErrorEstimate - Class in org.apache.mahout.classifier.df
  Various methods to compute from the output of a random forest
errorRate(double[], double[]) - Static method in class org.apache.mahout.classifier.df.ErrorEstimate
escapeXML(CharSequence) - Static method in class org.apache.mahout.common.StringUtils
estimate(Long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
estimate(T) - Method in interface org.apache.mahout.cf.taste.impl.recommender.TopItems.Estimator
ESTIMATED_DISTANCE_CUTOFF - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The initial estimated distance cutoff between two points for forming new clusters.
ESTIMATED_NUM_MAP_CLUSTERS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The number of cluster that Mappers will use should be \(O(k log n)\) where k is the number of clusters to get at the end and n is the number of points to cluster.
estimateDistanceCutoff(List<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Estimates the distance cutoff.
estimateDistanceCutoff(Iterable<? extends Vector>, DistanceMeasure, int) - Static method in class org.apache.mahout.clustering.ClusteringUtils
EstimatedPreferenceCapper - Class in org.apache.mahout.cf.taste.impl.recommender
  Simple class which encapsulates restricting a preference value to a predefined range.
EstimatedPreferenceCapper(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
  a preference is estimated by computing the dot-product of the user and item feature vectors
estimatePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
EuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate.
EuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.EuclideanDistanceMeasure
EuclideanDistanceSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of a "similarity" based on the Euclidean "distance" between two users X and Y.
EuclideanDistanceSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
EuclideanDistanceSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
EuclideanDistanceSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
EuclideanDistanceSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Evaluates the quality of a `Recommender`'s recommendations.
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
evaluate(Recommender, Recommender, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator
evaluate(Recommender, DataModel, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator
evaluate(DataModel, DataModel, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator
EvolutionaryProcess<T extends Payload<U>,U> - Class in org.apache.mahout.ep
  Allows evolutionary optimization where the state function can't be easily packaged for the optimizer to execute.
EvolutionaryProcess() - Constructor for class org.apache.mahout.ep.EvolutionaryProcess
EvolutionaryProcess(int, int, State<T, U>) - Constructor for class org.apache.mahout.ep.EvolutionaryProcess
  Creates an evolutionary optimization framework with specified threadiness, population size and initial state.
EvolutionaryProcess.Function<T> - Interface in org.apache.mahout.ep
execute(Collection<Callable<Void>>, AtomicInteger, RunningAverageAndStdDev) - Static method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
exponential() - Static method in class org.apache.mahout.ep.Mapping
  Maps results to positive values.
exponential(double) - Static method in class org.apache.mahout.ep.Mapping
  Maps results to positive values.
exportWithIDsOnly() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
exportWithPrefs() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
  Hmm, should this exist elsewhere? seems like most relevant for a DB implementation, which is not in memory, which might want to export to memory.
extractLabels() - Method in class org.apache.mahout.classifier.df.data.Data
  extract the labels of all instances
extractRawData(Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
  extracts row-wise raw data from a Mahout matrix for 3rd party solvers.

## F

F_LIST - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Factorization - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  a factorization of the rating matrix
Factorization(FastByIDMap<Integer>, FastByIDMap<Integer>, double[][], double[][]) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
FactorizationEvaluator - Class in org.apache.mahout.cf.taste.hadoop.als
  Measures the root-mean-squared error of a rating matrix factorization against a test set.
FactorizationEvaluator() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator
FactorizationEvaluator.PredictRatingsMapper - Class in org.apache.mahout.cf.taste.hadoop.als
FactorizationEvaluator.PredictRatingsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
factorize() - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.Factorizer
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
Factorizer - Interface in org.apache.mahout.cf.taste.impl.recommender.svd
  Implementation must be able to create a factorization of a rating matrix
FastByIDMap<V> - Class in org.apache.mahout.cf.taste.impl.common
FastByIDMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
  Creates a new `FastByIDMap` with default capacity.
FastByIDMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
  Creates a new `FastByIDMap` whose capacity can accommodate the given number of entries without rehash.
FastIDSet - Class in org.apache.mahout.cf.taste.impl.common
FastIDSet() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
  Creates a new `FastIDSet` with default capacity.
FastIDSet(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastIDSet(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastIDSet(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastMap<K,V> - Class in org.apache.mahout.cf.taste.impl.common
  This is an optimized `Map` implementation, based on algorithms described in Knuth's "Art of Computer Programming", Vol.
FastMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
  Creates a new `FastMap` with default capacity.
FastMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(Map<K, V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
  Creates a new whose capacity can accommodate the given number of entries without rehash.
FastProjectionSearch - Class in org.apache.mahout.math.neighborhood
  Does approximate nearest neighbor search by projecting the vectors similar to ProjectionSearch.
FastProjectionSearch(DistanceMeasure, int, int) - Constructor for class org.apache.mahout.math.neighborhood.FastProjectionSearch
FEATURE_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
FEATURE_OFFSET - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
FeatureVectorEncoder - Class in org.apache.mahout.vectorizer.encoders
  General interface for objects that record features into a feature vector.
FeatureVectorEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
FeatureVectorEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
featureWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
featureWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
fetchVector(Path, int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
FILE_PATTERN - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FileDataModel - Class in org.apache.mahout.cf.taste.impl.model.file
  A `DataModel` backed by a delimited file.
FileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, boolean, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, boolean, long, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileIDMigrator - Class in org.apache.mahout.cf.taste.impl.model.file
  An `IDMigrator` backed by a file.
FileIDMigrator(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
FileIDMigrator(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
FileItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.file
  An `ItemSimilarity` backed by a comma-delimited file.
FileItemSimilarity(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
FileItemSimilarity(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
FileLineIterable - Class in org.apache.mahout.common.iterator
  Iterable representing the lines of a text file.
FileLineIterable(File) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
  Creates a `FileLineIterable` over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
  Creates a `FileLineIterable` over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
  Creates a `FileLineIterable` over a given file, using the given encoding.
FileLineIterable(InputStream) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterable(InputStream, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterable(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterable(InputStream, Charset, boolean, String) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterator - Class in org.apache.mahout.common.iterator
  Iterates over the lines of a text file.
FileLineIterator(File) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
  Creates a `FileLineIterator` over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
  Creates a `FileLineIterator` over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
  Creates a `FileLineIterator` over a given file, using the given encoding.
FileLineIterator(InputStream) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FileLineIterator(InputStream, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FileLineIterator(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FileLineIterator(InputStream, Charset, boolean, String) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FilePersistenceStrategy - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  Provides a file-based persistent store.
FilePersistenceStrategy(File) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
FileSimilarItemsWriter - Class in org.apache.mahout.cf.taste.impl.similarity.precompute
  Persist the precomputed item similarities to a file that can later be used by a `FileItemSimilarity`
FileSimilarItemsWriter(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
FINAL_ITERATION_SUFFIX - Static variable in interface org.apache.mahout.clustering.Cluster
finalLayerIdx - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
finalPartFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters
firstLine(String) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Processes the first line of a file (which should contain the variable names).
firstLine(String) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
FixedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
  A simple class that represents a fixed value of an average and count.
FixedRunningAverage(double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
FixedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
  A simple class that represents a fixed value of an average, count and standard deviation.
FixedRunningAverageAndStdDev(double, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
FixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator
  Sample a fixed number of elements from an Iterator.
FixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.FixedSizeSamplingIterator
FLAG_DENSE - Static variable in class org.apache.mahout.math.VectorWritable
FLAG_LAX_PRECISION - Static variable in class org.apache.mahout.math.VectorWritable
FLAG_NAMED - Static variable in class org.apache.mahout.math.VectorWritable
FLAG_SEQUENTIAL - Static variable in class org.apache.mahout.math.VectorWritable
flush(double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds all of the tokens that we counted up to a vector.
ForestVisualizer - Class in org.apache.mahout.classifier.df.tools
  This tool is to visualize the Decision Forest
formatCluster(Kluster) - Static method in class org.apache.mahout.clustering.kmeans.Kluster
  Format the cluster for output
formatVector(Vector, String[]) - Static method in class org.apache.mahout.clustering.AbstractCluster
  Return a human-readable formatted string representation of the vector, not intended to be complete nor usable as an input/output representation
forward(int, Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Forward the calculation for one layer.
forwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms
  External function to compute a matrix of alpha factors
FP_GROWTH - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FPGrowth<A extends Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  Implementation of PFGrowth Algorithm with FP-Bonsai pruning
FPGrowth() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
FPGrowthDriver - Class in org.apache.mahout.fpm.pfpgrowth
FPGrowthIds - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
  Implementation of PFGrowth Algorithm
FPGrowthObj<A extends Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
  Implementation of PFGrowth Algorithm
FPGrowthObj() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
FPTree - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  The Frequent Pattern Tree datastructure used for mining patterns using `FPGrowth` algorithm
FPTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
FPTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
FPTree - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
  A straightforward implementation of FPTrees as described in Han et.
FPTree(LongArrayList, long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Creates an FPTree using the attribute counts in attrCountList.
FPTree(long[], long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Creates an FPTree using the attribute counts in attrCounts.
FPTree.FPNode - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
FPTreeDepthCache - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  Caches large FPTree `Object` for each level of the recursive `FPGrowth` algorithm to reduce allocation overhead.
FPTreeDepthCache() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
freeze(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
Frequencies - Class in org.apache.mahout.classifier.df.tools
  Compute the frequency distribution of the "class label"
  This class can be used when the criterion variable is the categorical attribute.
FrequenciesJob - Class in org.apache.mahout.classifier.df.tools
  Temporary class used to compute the frequency distribution of the "class attribute".
  This class can be used when the criterion variable is the categorical attribute.
FrequenciesJob(Path, Path, Path) - Constructor for class org.apache.mahout.classifier.df.tools.FrequenciesJob
FREQUENT_PATTERNS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FrequentPatternMaxHeap - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  keeps top K Attributes in a TreeSet
FrequentPatternMaxHeap(int, boolean) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
fromJSON(String) - Static method in class org.apache.mahout.classifier.df.data.Dataset
  De-serialize an instance from a string
fromList(Iterable<String>) - Static method in class org.apache.mahout.vectorizer.encoders.Dictionary
fromRho(double, double[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
fromString(String) - Static method in class org.apache.mahout.common.StringUtils
  Restores the object from its string representation.
FullRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
  A simple class that can keep track of a running average of a series of numbers.
FullRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
FullRunningAverage(int, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
FullRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
  Extends `FullRunningAverage` to add a running standard deviation computation.
FullRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
FullRunningAverageAndStdDev(int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
FuzzyKMeansClusterer - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansClusterer() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
FuzzyKMeansClusteringPolicy - Class in org.apache.mahout.clustering.iterator
  This is a probability-weighted clustering policy, suitable for fuzzy k-means clustering
FuzzyKMeansClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
FuzzyKMeansClusteringPolicy(double, double) - Constructor for class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
FuzzyKMeansConfigKeys - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansDriver - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansDriver() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

## G

GaussianAccumulator - Interface in org.apache.mahout.clustering
generateAllGrams(Path, Path, Configuration, int, int, float, int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
  Generate all ngrams for the `DictionaryVectorizer` job
generateBasisNormal(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector
  Generates a basis matrix of size projectedVectorSize x vectorSize.
generateBasisPlusMinusOne(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector
  Generates a basis matrix of size projectedVectorSize x vectorSize.
generateBasisZeroPlusMinusOne(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector
  Generates a basis matrix of size projectedVectorSize x vectorSize.
generateDataset(CharSequence, boolean, FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.data.DataLoader
  Generates the Dataset by parsing the entire data
generateDataset(CharSequence, boolean, String[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader
  Generates the Dataset by parsing the entire data
generateDescriptor(CharSequence) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils
  Generates a valid descriptor string from a user-friendly representation.
  for example "3 N I N N 2 C L 5 I" generates "N N N I N N C C L I I I I I".
  this useful when describing datasets with a large number of attributes
generateDescriptor(Iterable<String>) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils
  Generates a valid descriptor string from a list of tokens
generateFList(Iterator<Pair<List<A>, Long>>, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
  Generate the Feature Frequency list from the given transaction whose frequency > minSupport
generateFList(Iterator<Pair<List<A>, Long>>, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
  Generate the Feature Frequency list from the given transaction whose frequency > minSupport
generateFList() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
generateNGrams() - Method in class org.apache.mahout.common.nlp.NGrams
generateNGramsWithoutLabel() - Method in class org.apache.mahout.common.nlp.NGrams
generateTopKFrequentPatterns(Iterator<Pair<List<A>, Long>>, Collection<Pair<A, Long>>, long, int, Collection<A>, OutputCollector<A, List<Pair<List<A>, Long>>>, StatusUpdater) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
  Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
generateTopKFrequentPatterns(Iterator<Pair<IntArrayList, Long>>, LongArrayList, long, int, IntArrayList, OutputCollector<Integer, List<Pair<List<Integer>, Long>>>) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthIds
  Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
generateTopKFrequentPatterns(Iterator<Pair<List<A>, Long>>, Collection<Pair<A, Long>>, long, int, Collection<A>, OutputCollector<A, List<Pair<List<A>, Long>>>) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
  Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
generateVectorBasis(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector
  Generates a list of projectedVectorSize vectors, each of size vectorSize.
GenericBooleanPrefDataModel - Class in org.apache.mahout.cf.taste.impl.model
  A simple `DataModel` which uses given user data as its data source.
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Creates a new `GenericDataModel` from the given users (and their preferences).
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Creates a new `GenericDataModel` from the given users (and their preferences).
GenericBooleanPrefDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Deprecated. without direct replacement. Consider `GenericBooleanPrefDataModel.toDataMap(DataModel)` with `GenericBooleanPrefDataModel.GenericBooleanPrefDataModel(FastByIDMap)`
GenericBooleanPrefItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A variant on `GenericItemBasedRecommender` which is appropriate for use when no notion of preference value exists in the data.
GenericBooleanPrefItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
GenericBooleanPrefItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
GenericBooleanPrefUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A variant on `GenericUserBasedRecommender` which is appropriate for use when no notion of preference value exists in the data.
GenericBooleanPrefUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
GenericDataModel - Class in org.apache.mahout.cf.taste.impl.model
  A simple `DataModel` which uses a given `List` of users as its data source.
GenericDataModel(FastByIDMap<PreferenceArray>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Creates a new `GenericDataModel` from the given users (and their preferences).
GenericDataModel(FastByIDMap<PreferenceArray>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Creates a new `GenericDataModel` from the given users (and their preferences).
GenericDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Deprecated. without direct replacement. Consider `GenericDataModel.toDataMap(DataModel)` with `GenericDataModel.GenericDataModel(FastByIDMap)`
GenericItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple `Recommender` which uses a given `DataModel` and `ItemSimilarity` to produce recommendations.
GenericItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender.MostSimilarEstimator - Class in org.apache.mahout.cf.taste.impl.recommender
GenericItemBasedRecommender.MostSimilarEstimator(long, ItemSimilarity, Rescorer<LongPair>) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
GenericItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `GenericUserPreferenceArray` but stores preferences for one item (all item IDs the same) rather than one user.
GenericItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
GenericItemPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
GenericItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  A "generic" `GenericItemSimilarity.ItemItemSimilarity` which takes a static list of precomputed item similarities and bases its responses on that alone.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Creates a `GenericItemSimilarity` from a precomputed list of `GenericItemSimilarity.ItemItemSimilarity`s.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Like `GenericItemSimilarity.GenericItemSimilarity(Iterable)`, but will only keep the specified number of similarities from the given `Iterable` of similarities.
GenericItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Builds a list of item-item similarities given an `GenericItemSimilarity.ItemItemSimilarity` implementation and a `DataModel`, rather than a list of `GenericItemSimilarity.ItemItemSimilarity`s.
GenericItemSimilarity(ItemSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Like `GenericItemSimilarity.GenericItemSimilarity(ItemSimilarity, DataModel)` )}, but will only keep the specified number of similarities from the given `DataModel`.
GenericItemSimilarity.ItemItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Encapsulates a similarity between two items.
GenericItemSimilarity.ItemItemSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
GenericPreference - Class in org.apache.mahout.cf.taste.impl.model
  A simple `Preference` encapsulating an item and preference value.
GenericPreference(long, long, float) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericPreference
GenericRecommendedItem - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple implementation of `RecommendedItem`.
GenericRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
GenericRecommenderIRStatsEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  For each user, these implementation determine the top `n` preferences, then evaluate the IR statistics based on a `DataModel` that does not have these values.
GenericRecommenderIRStatsEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
GenericRecommenderIRStatsEvaluator(RelevantItemsDataSplitter) - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
GenericRelevantItemsDataSplitter - Class in org.apache.mahout.cf.taste.impl.eval
  Picks relevant items to be those with the strongest preference, and includes the other users' preferences in full.
GenericRelevantItemsDataSplitter() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter
GenericUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple `Recommender` which uses a given `DataModel` and `UserNeighborhood` to produce recommendations.
GenericUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
GenericUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `GenericItemPreferenceArray` but stores preferences for one user (all user IDs the same) rather than one item.
GenericUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
GenericUserPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
GenericUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(UserSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity.UserUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
GenericUserSimilarity.UserUserSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
get(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Returns cached value for a key.
get(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
get(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
get(K) - Method in interface org.apache.mahout.cf.taste.impl.common.Retriever
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
get(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
get(int) - Method in class org.apache.mahout.classifier.df.data.Data
  Returns the element at the specified position
get(int) - Method in class org.apache.mahout.classifier.df.data.Instance
  Return the attribute at the specified position
get() - Method in class org.apache.mahout.common.parameters.AbstractParameter
get(String) - Method in class org.apache.mahout.common.Parameters
get(String, String) - Method in class org.apache.mahout.common.Parameters
get() - Method in interface org.apache.mahout.common.parameters.Parameter
get(int) - Method in class org.apache.mahout.ep.State
  Returns a transformed parameter.
get(K) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
get() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
get() - Method in class org.apache.mahout.math.MatrixWritable
get() - Method in class org.apache.mahout.math.VarIntWritable
get() - Method in class org.apache.mahout.math.VarLongWritable
get() - Method in class org.apache.mahout.math.VectorWritable
getAbtBlockHeight() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getAccuracy(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getAccuracy() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getActual() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getAdjustedRandIndex(Matrix) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Computes the Adjusted Rand Index for a given confusion matrix.
getAllOtherItems(long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
getAnalyzerClassFromOption() - Method in class org.apache.mahout.common.AbstractJob
getAnalyzerClassName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getAttr() - Method in class org.apache.mahout.classifier.df.split.Split
getAttribute(int) - Method in class org.apache.mahout.classifier.df.data.Dataset
getAttributeAtIndex(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getAucEvaluator() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getAverage() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getAverageStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getAverageStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getAverageStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getBaseGradient() - Method in class org.apache.mahout.classifier.sgd.RankingGradient
getBasisVector(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getBest() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getBestCentroids(List<Centroid>, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
getBeta() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getBlock() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
getBottomLevelClusterPath(Path, String) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory
  Each cluster produced by top level clustering is processed in output/"bottomLevelCluster"/clusterId.
getBuffer() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getBytes() - Method in class org.apache.mahout.common.IntPairWritable
getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getCachedFiles(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
  Retrieves paths to cached files.
getCaches() - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
getCaches() - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
getCandidateItems(long, PreferenceArray, DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
getCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
getCandidateItems(long, PreferenceArray, DataModel) - Method in interface org.apache.mahout.cf.taste.recommender.CandidateItemsStrategy
getCandidateItems(long[], DataModel) - Method in interface org.apache.mahout.cf.taste.recommender.MostSimilarItemsCandidateItemsStrategy
getCandidateQueue(int) - Static method in class org.apache.mahout.math.neighborhood.Searcher
  Returns a bounded size priority queue, in reverse order that keeps track of the best nearest neighbor vectors.
getCardinality() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getCategory(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getCenter() - Method in class org.apache.mahout.clustering.AbstractCluster
getCenter() - Method in interface org.apache.mahout.clustering.Cluster
  Get the "center" of the Cluster as a Vector
getCenters(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Iterate through the canopies, adding their centroids to a list
getCentroid() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
getCentroidsFromVectorWritable(Iterable<VectorWritable>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR
  Returns an Iterable of centroids from an Iterable of VectorWritables by creating a new Centroid containing a RandomAccessSparseVector as a delegate for each VectorWritable.
getChunkSizeInMegabytes() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getClassname() - Method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures
getCleanedEigensPath() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
getCLIOption(String) - Method in class org.apache.mahout.common.AbstractJob
getClusterIDs(Path, Configuration, boolean) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterCountReader
  Generates a list of all cluster ids by reading the clusters-*-final file.
getClusterOutputClusteredPoints(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory
  The top level clustered points before post processing is generated here.
getClusterPathForClusterId(Path, String) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory
  Each clusters path name is its clusterId.
getClusterPostProcessorOutputDirectory(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory
  The output of top level clusters is post processed and kept in this path.
getCnt() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getCol() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getCol() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getCompressedTree() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
getConf() - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
getConf() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
getConf() - Method in class org.apache.mahout.common.AbstractJob
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getConf() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getConf() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
getConf() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
getConf() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ResultAnalyzer
getConfusionMatrix(List<? extends Vector>, List<? extends Vector>, Iterable<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Creates a confusion matrix by searching for the closest cluster of both the row clustering and column clustering of a point and adding its weight to that cell of the matrix.
getCorrect(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getCosAngleError() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getCosAngleError(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getCount() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getCumulativeInitialProbabilities(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Compute the cumulative distribution of the initial hidden state probabilities for the given HMM model.
getCumulativeOutputMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Compute the cumulative output probability matrix for the given HMM model.
getCumulativeTransitionMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Compute the cumulative transition probability matrix for the given HMM model.
getCurrentKey() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
getCurrentValue() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
getCustomJobName(String, JobContext, Class<? extends Mapper>, Class<? extends Reducer>) - Static method in class org.apache.mahout.common.HadoopUtil
getDataFile() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
getDataModel() - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
getDataPath() - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
getDataset() - Method in class org.apache.mahout.classifier.df.data.Data
getDataset() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper
getDataSource() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
getDefaultCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getDefaultLabel() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getDefaultMostSimilarItemsCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
getDelegate() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getDerivativeDoubleDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  Get the corresponding derivation of double double function by the name.
getDerivativeDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  Get the derivation double function by the name.
getDiagonalMatrix() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getDictionary() - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
getDimensions(Path) - Method in class org.apache.mahout.common.AbstractJob
  Get the cardinality of the input vectors
getDistanceCutoff() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
getDistanceMeasure() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
getDistanceMeasure() - Method in class org.apache.mahout.math.neighborhood.Searcher
getDistributedCacheFile(Configuration, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Helper method.
getDoubleDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  Get the corresponding double-double function by the name.
getDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
  Get the corresponding function by its name.
getEigenValue() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getEigenValue(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getEmissionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter function to get the output state probability matrix
getEncoderClass() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getEncoderName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getEntries() - Method in class org.apache.mahout.common.IntegerTuple
  Fetch the list of entries from the tuple
getEntries() - Method in class org.apache.mahout.common.StringTuple
  Fetch the list of entries from the tuple
getEp() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getExponent() - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
getF1Measure() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See F-measure.
getF1Measure() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFallOut() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Fall-Out.
getFallOut() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFeature() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
getFileStatus(Path, PathType, PathFilter, Comparator<FileStatus>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
getFirst() - Method in class org.apache.mahout.common.IntPairWritable
getFirst() - Method in class org.apache.mahout.common.LongPair
getFirst() - Method in class org.apache.mahout.common.Pair
getFirstId() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getFirstLevelTree(Integer) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getFirstTreeId() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
getFloat(String) - Method in class org.apache.mahout.common.AbstractJob
getFloat(String, float) - Method in class org.apache.mahout.common.AbstractJob
getFNMeasure(double) - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See F-measure.
getFNMeasure(double) - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFrequency() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
getFrequency() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getGroup() - Method in class org.apache.mahout.common.AbstractJob
getGroup(int, int) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
getGroupKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getGroupMembers(int, int, int) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
getHash() - Method in class org.apache.mahout.math.neighborhood.HashedVector
getHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeaderSupportCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeaderTableAttributes() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeaderTableCount() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeap() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
getHiddenStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the ID for the given hidden state name
getHiddenStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the name for the given hidden state ID
getHiddenStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter method for the hidden state Names map
getHits() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
getId() - Method in class org.apache.mahout.clustering.AbstractCluster
getId() - Method in interface org.apache.mahout.clustering.Cluster
  Get the id of the Cluster
getId() - Method in class org.apache.mahout.ep.State
getIdentifier() - Method in class org.apache.mahout.clustering.AbstractCluster
getIdentifier() - Method in class org.apache.mahout.clustering.canopy.Canopy
getIdentifier() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
getIdentifier() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
getIdentifier() - Method in class org.apache.mahout.clustering.kmeans.Kluster
getIdName() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getIDs() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getIdString(CharSequence) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Extract the id column value from the CSV record
getIg() - Method in class org.apache.mahout.classifier.df.split.Split
getIgnored() - Method in class org.apache.mahout.classifier.df.data.Dataset
getIndex() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getIndex(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getInitialProbabilities() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter function to return the vector of initial hidden state probabilities
getInitialVector(VectorIterable) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  For the distributed case, the best guess at a useful initialization state for Lanczos we'll chose to be uniform over all input dimensions, L_2 normalized.
getInputFile() - Method in class org.apache.mahout.common.AbstractJob
getInputPath() - Method in class org.apache.mahout.common.AbstractJob
  Returns the input path established by a call to `AbstractJob.parseArguments(String[])`.
getInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator
getInstance() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getInt(String) - Method in class org.apache.mahout.common.AbstractJob
getInt(String, int) - Method in class org.apache.mahout.common.AbstractJob
getInt(String, int) - Method in class org.apache.mahout.common.Parameters
getInverseCovarianceMatrix() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getItemFeatures(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getItemID() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
getItemID() - Method in interface org.apache.mahout.cf.taste.model.Preference
getItemID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getItemID() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
getItemID() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
getItemID() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
getItemID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getItemID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getItemIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getItemIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getItemIDsFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getItemInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getItemItemPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getKappa() - Method in class org.apache.mahout.classifier.ConfusionMatrix
  Accuracy v.s.
getKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getKey() - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
getKeyClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
getKP() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
getLabel() - Method in class org.apache.mahout.classifier.ClassifierResult
getLabel(Instance) - Method in class org.apache.mahout.classifier.df.data.Dataset
getLabelId() - Method in class org.apache.mahout.classifier.df.data.Dataset
getLabels() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getLabels() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
getLabelString(double) - Method in class org.apache.mahout.classifier.df.data.Dataset
  Returns the label value in the data This method can be used when the criterion variable is the categorical attribute.
getLambda() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getLayerSize(int) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the size of a particular layer.
getLayerSizeList() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the layer size list.
getLearner() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
getLearningRate() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the value of learning rate.
getLength() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getLength() - Method in class org.apache.mahout.common.IntPairWritable
getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getLocations() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getLogLikelihood() - Method in class org.apache.mahout.classifier.ClassifierResult
getLogLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getM() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getMappedParams() - Method in class org.apache.mahout.ep.State
  Returns all the parameters in mapped form.
getMaps() - Method in class org.apache.mahout.ep.State
getMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getMaxImpact() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getMaxInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getMaxIters() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
getMaxNGramSize() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated. see `DataModel.getMaxPreference()`
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getMaxTime() - Method in class org.apache.mahout.common.TimingStatistics
getMean() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getMean() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getMean() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getMeanTime() - Method in class org.apache.mahout.common.TimingStatistics
getMeanVector() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getMeasure() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
getMinInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getMinLLRValue() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getMinPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated. see `DataModel.getMinPreference()`
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getMinPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getMinSupport() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getMinTime() - Method in class org.apache.mahout.common.TimingStatistics
getMisses() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getMk() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getModel() - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getModelPath() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the model path.
getModelPaths(Configuration) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
getModels() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getModels() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
getModelTrainer() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
getModelType() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the type of the model.
getMomentumWeight() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the momentum weight.
getN() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getN() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getN() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getN() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getName() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getNbTrees(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Get the number of trees for the map-reduce job.
getNbTrees() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getNCalls() - Method in class org.apache.mahout.common.TimingStatistics
getNormalizedDiscountedCumulativeGain() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Normalized Discounted Cumulative Gain.
getNormalizedDiscountedCumulativeGain() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getNormalizedStats() - Method in class org.apache.mahout.classifier.ConfusionMatrix
  Standard deviation of normalized producer accuracy Not a standard score
getNormPower() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getNrOfHiddenStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter Method for the number of hidden states
getNrOfOutputStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter Method for the number of output states
getNumberOfClusters(Path, Configuration) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterCountReader
  Reads the number of clusters present by reading the clusters-*-final file.
getNumCategories() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getNumClusters() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumItems() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumMaps(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Return the value of "mapred.map.tasks".
getNumObservations() - Method in class org.apache.mahout.clustering.AbstractCluster
getNumObservations() - Method in interface org.apache.mahout.clustering.Model
  Return the number of observations that this model has seen since its parameters were last computed
getNumReducers() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getNumRows() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
getNumTerms() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
getNumTopics() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
getNumTopics() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsers() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsersWithPreferenceFor(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumUsersWithPreferenceFor(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getOmni() - Method in class org.apache.mahout.ep.State
getOption(String) - Method in class org.apache.mahout.common.AbstractJob
getOption(String, String) - Method in class org.apache.mahout.common.AbstractJob
  Get the option, else the default
getOption(Map<String, List<String>>, String) - Static method in class org.apache.mahout.common.AbstractJob
getOptions(String) - Method in class org.apache.mahout.common.AbstractJob
  Options can occur multiple times, so return the list
getOuterBlockHeight() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getOutput(Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the output calculated by the model.
getOutputFile() - Method in class org.apache.mahout.common.AbstractJob
getOutputInternal(Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Calculate output internally, the intermediate output of each layer will be stored.
getOutputPath(Configuration) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Output Directory name
getOutputPath() - Method in class org.apache.mahout.common.AbstractJob
  Returns the output path established by a call to `AbstractJob.parseArguments(String[])`.
getOutputPath(String) - Method in class org.apache.mahout.common.AbstractJob
getOutputStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the ID for the given output state name
getOutputStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the name for the given output state id
getOutputStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter method for the output state Names map
getOutputTempPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getPair() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
getParameters() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getParameters() - Method in class org.apache.mahout.clustering.AbstractCluster
getParameters() - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.parameters.AbstractParameter
getParameters() - Method in interface org.apache.mahout.common.parameters.Parametered
getParams() - Method in class org.apache.mahout.ep.State
getPartition(GramKey, Gram, int) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
getPattern() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
getPatterns() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
getPayload() - Method in class org.apache.mahout.ep.State
getPcaMeanPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  Optional.
getPolicy() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
getPopulation() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getPopulationSize() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getPostProcessedClusterDirectories() - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
getPrecision() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Precision.
getPrecision() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getPredictors() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Returns a list of the names of the predictor variables.
getPredictors() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferencesForItem(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferencesFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferenceTime(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Retrieves the time at which a preference value from a user and item was set, if known.
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferenceValue(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Retrieves the preference value for a single user and item.
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
getPrimaryLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getPrimaryString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getPrior() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getPrior() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getPrior() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getProbes() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getProgress() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
getProperties() - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
getQ() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getQuick(int, int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
  Get omega element at (x,y) uniformly distributed within [-1...1)
getRadius() - Method in class org.apache.mahout.clustering.AbstractCluster
getRadius() - Method in interface org.apache.mahout.clustering.Cluster
  Get the "radius" of the Cluster as a Vector.
getRandomSeed(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Returns the random seed
getRawItemData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawItemData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getReach() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
getReach() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getReadModel() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
getRecall() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Recall.
getRecall() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getRecommendedItems() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
getRecommender() - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
getRecord() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getRecord() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getRegularizationWeight() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the weight of the regularization.
getRelevantItemsIDs(long, int, double, DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RelevantItemsDataSplitter
  During testing, relevant items are removed from a particular users' preferences, and a model is build using this user's other preferences and all other users.
getRelevantItemsIDs(long, int, double, DataModel) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter
getReliability() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getResults() - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier
getRightSingularVector(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getRow() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getRow() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getRowIndices() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
getRowPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getRows() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
getRTilde() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getS0() - Method in class org.apache.mahout.clustering.AbstractCluster
getS1() - Method in class org.apache.mahout.clustering.AbstractCluster
getS2() - Method in class org.apache.mahout.clustering.AbstractCluster
getScaleFactor() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getScore() - Method in class org.apache.mahout.classifier.ClassifierResult
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
getScoreForLabelInstance(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getSearchSize() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
getSecond() - Method in class org.apache.mahout.common.IntPairWritable
getSecond() - Method in class org.apache.mahout.common.LongPair
getSecond() - Method in class org.apache.mahout.common.Pair
getSeed() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getSeed() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getSeed() - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
getSeed() - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
getSeed() - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
getSentinelObject() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
getSentinelObject() - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
getSentinelObject() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
getSimilarItems() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
getSimilarItemsPerItem() - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
getSimilarity() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
getSimilarityColumn() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
getSingleCachedFile(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
  Return the first cached file in the list, else null if thre are no cached files.
getSingularValues() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  This contains k+p singular values resulted from the solver run.
getSingularValues() - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
getSk() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getSplit() - Method in class org.apache.mahout.classifier.df.split.Split
getSplits(JobContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat
getSplits(Configuration, int) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getStandardDeviation() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
getStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getStdDevTime() - Method in class org.apache.mahout.common.TimingStatistics
getStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getStep() - Method in class org.apache.mahout.ep.State
getString() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
getString() - Method in class org.apache.mahout.classifier.df.node.Leaf
getString() - Method in class org.apache.mahout.classifier.df.node.Node
getString() - Method in class org.apache.mahout.classifier.df.node.NumericalNode
getString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getStringValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
getStringValue() - Method in class org.apache.mahout.common.parameters.ClassParameter
getStringValue() - Method in interface org.apache.mahout.common.parameters.Parameter
getSum() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
getSumOfSquares() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
getSumSquaredTime() - Method in class org.apache.mahout.common.TimingStatistics
getSumTime() - Method in class org.apache.mahout.common.TimingStatistics
getT1() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
getT2() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
getT3() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
getT4() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
getTargetCategories() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getTargetCategories() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getTargetLabel(int) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Extract the corresponding raw target label according to a code
getTargetString(CharSequence) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Extract the raw target string from a line read from a CSV file.
getTaskId() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
getTaskItemOrdinal() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
getTempPath() - Method in class org.apache.mahout.common.AbstractJob
getTempPath(String) - Method in class org.apache.mahout.common.AbstractJob
getTfDirName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getThinQtTilde() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getThreadCount() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getTiming() - Method in class org.apache.mahout.cf.taste.impl.eval.LoadStatistics
getTopElements() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
getTopItemItemSimilarities(int, Iterator<GenericItemSimilarity.ItemItemSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
  Thanks to tsmorton for suggesting this functionality and writing part of the code.
getTopItems() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
getTopItems() - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
getTopItems(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTopLevelClusterPath(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory
  All output of top level clustering is stored in output directory/topLevelCluster.
getTopUsers(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTopUserUserSimilarities(int, Iterator<GenericUserSimilarity.UserUserSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTotal(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getTotalCount() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
getTotalObservations() - Method in class org.apache.mahout.clustering.AbstractCluster
getTotalObservations() - Method in interface org.apache.mahout.clustering.Model
  Return the number of observations that this model has seen over its lifetime
getTotalWeight() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getTraceDictionary() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getTraceDictionary() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getTrainingMethod() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the training method.
getTransitionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter function to get the hidden state transition matrix
getTree() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
getTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getTreeBuilder(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
getTreeBuilder() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper
getType() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
getType() - Method in class org.apache.mahout.classifier.df.node.Leaf
getType() - Method in class org.apache.mahout.classifier.df.node.Node
getType() - Method in class org.apache.mahout.classifier.df.node.NumericalNode
getType() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getuHalfSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getUPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  returns U path (if computation were requested and successful).
getUserFeatures(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getUserID() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getUserID() - Method in interface org.apache.mahout.cf.taste.model.Preference
getUserID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getUserID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getUserID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getUserIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getUserIDs() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getUserIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getUserInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
getUserNeighborhood(long) - Method in interface org.apache.mahout.cf.taste.neighborhood.UserNeighborhood
getUserUserPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getuSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getVal() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getValue() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getValue() - Method in interface org.apache.mahout.cf.taste.model.Preference
getValue(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getValue() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
  A value expressing the strength of the preference for the recommended item.
getValue() - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
getValue() - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
getValue() - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
getValue() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getValue() - Method in class org.apache.mahout.ep.State
getValueClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
getValueClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
getValues() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getVariance() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getVariance() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getVariance() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getVector() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
getVector() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
getvHalfSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getVPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  return V path ( if computation was requested and successful ) .
getvSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getWeight() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getWeight(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getWeight() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getWeight(byte[], byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
getWeightMatrices() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get all the weight matrices.
getWeights() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
getWeightsByLayer(int) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the weights between layer layerIdx and layerIdx + 1
givens(double, double, double[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
GivensThinSolver - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr
  Givens Thin solver.
GivensThinSolver(int, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
GlobalOnlineAuc - Class in org.apache.mahout.math.stats
  Computes a running estimate of AUC (see http://en.wikipedia.org/wiki/Receiver_operating_characteristic).
GlobalOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GlobalOnlineAuc
Gradient - Interface in org.apache.mahout.classifier.sgd
  Provides the ability to inject a gradient into the SGD logistic regresion.
GradientMachine - Class in org.apache.mahout.classifier.sgd
  Online gradient machine learner that tries to minimize the label ranking hinge loss.
GradientMachine(int, int, int) - Constructor for class org.apache.mahout.classifier.sgd.GradientMachine
Gram - Class in org.apache.mahout.vectorizer.collocations.llr
  Writable for holding data generated from the collocation discovery jobs.
Gram() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
Gram(Gram) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
  Copy constructor
Gram(String, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
  Create an gram with a frequency of 1
Gram(String, int, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
  Create a gram with the specified frequency.
Gram.Type - Enum in org.apache.mahout.vectorizer.collocations.llr
GramKey - Class in org.apache.mahout.vectorizer.collocations.llr
  A GramKey, based on the identity fields of Gram (type, string) plus a byte[] used for secondary ordering
GramKey() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey
GramKey(Gram, byte[]) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey
  create a GramKey based on the specified Gram and order
GramKeyPartitioner - Class in org.apache.mahout.vectorizer.collocations.llr
  Partition GramKeys based on their Gram, ignoring the secondary sort key so that all GramKeys with the same gram are sent to the same partition.
GramKeyPartitioner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
GramSchmidt - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr
  Gram Schmidt quick helper.
greaterOrEquals(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition
  Condition that checks if the given attribute has a value "greater or equal" than the given value
GreaterOrEquals - Class in org.apache.mahout.classifier.df.data.conditions
  True if a given attribute has a value "greater or equal" than a given value
GreaterOrEquals(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.GreaterOrEquals
GroupedOnlineAuc - Class in org.apache.mahout.math.stats
  Implements a variant on AUC where the result returned is an average of several AUC measurements made on sub-groups of the overall data.
GroupedOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GroupedOnlineAuc

## H

HadoopUtil - Class in org.apache.mahout.common
hammingDistance(long) - Method in class org.apache.mahout.math.neighborhood.HashedVector
hash(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
hash(WeightedVector, Matrix) - Static method in class org.apache.mahout.math.neighborhood.HashedVector
hash(WeightedVector, Matrix, long) - Static method in class org.apache.mahout.math.neighborhood.HashedVector
hash(String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash a string and an integer into the range [0..numFeatures-1].
hash(byte[], int, int) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash a byte array and an integer into the range [0..numFeatures-1].
hash(String, String, int, int) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash two strings and an integer into the range [0..numFeatures-1].
hash(byte[], byte[], int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash two byte arrays and an integer into the range [0..numFeatures-1].
hash(String, String, String, String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash four strings and an integer into the range [0..numFeatures-1].
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
hashCode() - Method in class org.apache.mahout.classifier.df.data.Data
hashCode() - Method in class org.apache.mahout.classifier.df.data.Dataset
hashCode() - Method in class org.apache.mahout.classifier.df.data.Instance
hashCode() - Method in class org.apache.mahout.classifier.df.DecisionForest
hashCode() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
hashCode() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
hashCode() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
hashCode() - Method in class org.apache.mahout.classifier.df.node.Leaf
hashCode() - Method in class org.apache.mahout.classifier.df.node.NumericalNode
hashCode() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
hashCode() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
hashCode() - Method in class org.apache.mahout.common.IntegerTuple
hashCode() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
hashCode() - Method in class org.apache.mahout.common.IntPairWritable
hashCode() - Method in class org.apache.mahout.common.LongPair
hashCode() - Method in class org.apache.mahout.common.Pair
hashCode() - Method in class org.apache.mahout.common.StringTuple
hashCode() - Method in class org.apache.mahout.ep.State
hashCode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
hashCode() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
hashCode() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
hashCode() - Method in class org.apache.mahout.math.neighborhood.HashedVector
hashCode() - Method in class org.apache.mahout.math.VarIntWritable
hashCode() - Method in class org.apache.mahout.math.VarLongWritable
hashCode() - Method in class org.apache.mahout.math.VectorWritable
HashedVector - Class in org.apache.mahout.math.neighborhood
  Decorates a weighted vector with a locality sensitive hash.
HashedVector(Vector, long, int) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector
HashedVector(Vector, Matrix, int, long) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector
HashedVector(WeightedVector, Matrix, long) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector
hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Returns all of the hashes for this probe.
hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
hashForProbe(String, int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
hashForProbe(String, int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Provides the unique hash for a particular probe.
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
hasNext() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
hasOption(String) - Method in class org.apache.mahout.common.AbstractJob
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
hasPreferenceValues() - Method in interface org.apache.mahout.cf.taste.model.DataModel
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hasPrefWithItemID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hasPrefWithUserID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
HdfsBackedLanczosState - Class in org.apache.mahout.math.hadoop.decomposer
HdfsBackedLanczosState(VectorIterable, int, Vector, Path) - Constructor for class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
headerCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Returns the count of the given attribute, as supplied on construction.
help(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
helpOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for help.
hiddenToOutput(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Feeds forward from hidden to output
HighDFWordsPruner - Class in org.apache.mahout.vectorizer
HISTORY - Static variable in class org.apache.mahout.math.stats.GlobalOnlineAuc
HmmAlgorithms - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Class containing implementations of the three major HMM algorithms: forward, backward and Viterbi
HmmEvaluator - Class in org.apache.mahout.classifier.sequencelearning.hmm
  The HMMEvaluator class offers several methods to evaluate an HMM Model.
HmmModel - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Main class defining a Hidden Markov Model
HmmModel(int, int, long) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states using a given seed.
HmmModel(int, int) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states.
HmmModel(Matrix, Matrix, Vector) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Generates a Hidden Markov model using the specified parameters
HmmTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Class containing several algorithms used to train a Hidden Markov Model.
HmmUtils - Class in org.apache.mahout.classifier.sequencelearning.hmm
  A collection of utilities for handling HMMModel objects.

## I

identicalLabel() - Method in class org.apache.mahout.classifier.df.data.Data
  checks if all the vectors have identical label values
identity() - Static method in class org.apache.mahout.ep.Mapping
  Maps results to themselves.
IDMigrator - Interface in org.apache.mahout.cf.taste.model
  Mahout 0.2 changed the framework to operate only in terms of numeric (long) ID values for users and items.
IDRescorer - Interface in org.apache.mahout.cf.taste.recommender
  A `Rescorer` which operates on `long` primitive IDs, rather than arbitrary `Object`s.
idToIndex(long) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Maps a long to an int with range of 0 to Integer.MAX_VALUE-1
IGNORE_WEIGHTS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  Whether to correct the weights of the centroids after the clustering is done.
IgSplit - Class in org.apache.mahout.classifier.df.split
  Computes the best split using the Information Gain measure
IgSplit() - Constructor for class org.apache.mahout.classifier.df.split.IgSplit
IKernelProfile - Interface in org.apache.mahout.clustering.kernel
includeBiasTerm(boolean) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
includeBiasTerm(boolean) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
incrementCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix
incrementCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
incrementFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
incrementItemOrdinal() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
incrementToken() - Method in class org.apache.mahout.common.lucene.IteratorTokenStream
index() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
IndexInstancesMapper - Class in org.apache.mahout.classifier.naivebayes.training
IndexInstancesMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper
IndexInstancesMapper.Counter - Enum in org.apache.mahout.classifier.naivebayes.training
infer(Vector, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
inferPreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
inferPreference(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.PreferenceInferrer
  Infers the given user's preference value for an item.
INITIAL_CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
initialize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
initialize(Iterable<String>) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator
  Make the mapping aware of the given string IDs.
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
initWeights(Random) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Initialize weights.
InMemBuilder - Class in org.apache.mahout.classifier.df.mapreduce.inmem
  MapReduce implementation where each mapper loads a full copy of the data in-memory.
InMemBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder
InMemBuilder(TreeBuilder, Path, Path) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder
InMemInputFormat - Class in org.apache.mahout.classifier.df.mapreduce.inmem
  Custom InputFormat that generates InputSplits given the desired number of trees.
  each input split contains a subset of the trees.
  The number of splits is equal to the number of requested splits
InMemInputFormat() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat
InMemInputFormat.InMemInputSplit - Class in org.apache.mahout.classifier.df.mapreduce.inmem
  Custom InputSplit that indicates how many trees are built by each mapper
InMemInputFormat.InMemInputSplit() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
InMemInputFormat.InMemInputSplit(int, int, Long) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
InMemInputFormat.InMemRecordReader - Class in org.apache.mahout.classifier.df.mapreduce.inmem
InMemInputFormat.InMemRecordReader(InMemInputFormat.InMemInputSplit) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
InMemMapper - Class in org.apache.mahout.classifier.df.mapreduce.inmem
  In-memory mapper that grows the trees using a full copy of the data loaded in-memory.
InMemMapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper
InMemoryCollapsedVariationalBayes0 - Class in org.apache.mahout.clustering.lda.cvb
  Runs the same algorithm as `CVB0Driver`, but sequentially, in memory.
InMemoryCollapsedVariationalBayes0(Matrix, String[], int, double, double, int, int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
INPUT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
INPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
INPUT_VECTOR - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
inputFile - Variable in class org.apache.mahout.common.AbstractJob
inputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for input directory specification.
inputPath - Variable in class org.apache.mahout.common.AbstractJob
  input path, populated by `AbstractJob.parseArguments(String[])`
inputToHidden(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Feeds forward from input to hidden unit..
insert(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
Instance - Class in org.apache.mahout.classifier.df.data
  Represents one data instance.
Instance(Vector) - Constructor for class org.apache.mahout.classifier.df.data.Instance
instantiateAs(String, Class<T>) - Static method in class org.apache.mahout.common.ClassUtils
instantiateAs(String, Class<T>, Class<?>[], Object[]) - Static method in class org.apache.mahout.common.ClassUtils
instantiateAs(Class<? extends T>, Class<T>, Class<?>[], Object[]) - Static method in class org.apache.mahout.common.ClassUtils
instantiateAs(Class<? extends T>, Class<T>) - Static method in class org.apache.mahout.common.ClassUtils
IntDoublePairWritable - Class in org.apache.mahout.clustering.spectral
  This class is a Writable implementation of the mahout.common.Pair generic class.
IntDoublePairWritable() - Constructor for class org.apache.mahout.clustering.spectral.IntDoublePairWritable
IntDoublePairWritable(int, double) - Constructor for class org.apache.mahout.clustering.spectral.IntDoublePairWritable
integerAt(int) - Method in class org.apache.mahout.common.IntegerTuple
  Fetches the string at the given location
IntegerStringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.integer
  Collects the Patterns with Integer id and Long support and converts them to Pattern of Strings based on a reverse feature lookup map.
IntegerStringOutputConverter(OutputCollector<Text, TopKStringPatterns>, List<String>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
IntegerTuple - Class in org.apache.mahout.common
  An Ordered List of Integers which can be used in a Hadoop Map/Reduce Job
IntegerTuple() - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Integer) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Iterable<Integer>) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Integer[]) - Constructor for class org.apache.mahout.common.IntegerTuple
InteractionValueEncoder - Class in org.apache.mahout.vectorizer.encoders
InteractionValueEncoder(String, FeatureVectorEncoder, FeatureVectorEncoder) - Constructor for class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
intern(String) - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
intersectionSize(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
  Convenience method to quickly compute just the size of the intersection with another `FastIDSet`.
IntPairWritable - Class in org.apache.mahout.common
  A `WritableComparable` which encapsulates an ordered pair of signed integers.
IntPairWritable() - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable(IntPairWritable) - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable(int, int) - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable.Comparator - Class in org.apache.mahout.common
IntPairWritable.Comparator() - Constructor for class org.apache.mahout.common.IntPairWritable.Comparator
IntPairWritable.FirstGroupingComparator - Class in org.apache.mahout.common
  Compare only the first part of the pair, so that reduce is called once for each value of the first part.
IntPairWritable.FirstGroupingComparator() - Constructor for class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
IntPairWritable.Frequency - Class in org.apache.mahout.common
  A wrapper class that associates pairs with frequency (Occurrences)
IntPairWritable.Frequency(IntPairWritable, double) - Constructor for class org.apache.mahout.common.IntPairWritable.Frequency
INVALID_DISTANCE_CUTOFF - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
INVALID_INDEX - Static variable in class org.apache.mahout.math.neighborhood.HashedVector
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
inverse() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
inverse() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
invertDictionary(OpenObjectIntHashMap<String>) - Static method in class org.apache.mahout.math.MatrixUtils
InvertedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
InvertedRunningAverage(RunningAverage) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
InvertedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
InvertedRunningAverageAndStdDev(RunningAverageAndStdDev) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
IOUtils - Class in org.apache.mahout.common
  I/O-related utility methods that don't have a better home.
IOUtils.DeleteFileOnClose - Class in org.apache.mahout.common
  for temporary files, a file may be considered as a `Closeable` too, where file is wiped on close and thus the disk resource is released ('closed').
IOUtils.DeleteFileOnClose(File) - Constructor for class org.apache.mahout.common.IOUtils.DeleteFileOnClose
IOUtils.MultipleOutputsCloseableAdapter - Class in org.apache.mahout.common
  MultipleOutputs to closeable adapter.
IOUtils.MultipleOutputsCloseableAdapter(MultipleOutputs) - Constructor for class org.apache.mahout.common.IOUtils.MultipleOutputsCloseableAdapter
IRStatistics - Interface in org.apache.mahout.cf.taste.eval
  Implementations encapsulate information retrieval-related statistics about a `Recommender`'s recommendations.
IRStatisticsImpl - Class in org.apache.mahout.cf.taste.impl.eval
IS_SPARSE_OUTPUT - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
isBroadcast() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
isCategorical() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute
isConverged() - Method in class org.apache.mahout.clustering.AbstractCluster
isConverged() - Method in interface org.apache.mahout.clustering.Cluster
isConverged() - Method in class org.apache.mahout.clustering.kmeans.Kluster
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
isEmpty() - Method in class org.apache.mahout.classifier.df.data.Data
isEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
isFiltered(T) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
isFiltered(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
isFiltered(long) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
  Returns `true` to exclude the given thing.
isFiltered(T) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
  Returns `true` to exclude the given thing.
isFull() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
isFull() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
isIdentical() - Method in class org.apache.mahout.classifier.df.data.Data
  checks if all the vectors have identical attribute values
isIgnored() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute
isLabel() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute
isLogNormalize() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
isNamedVectors() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
isNumerical() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute
isNumerical(int) - Method in class org.apache.mahout.classifier.df.data.Dataset
  Is this a numerical attribute ?
isOrthonormal(double[][], boolean, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
isOrthonormalBlocked(Iterable<double[][]>, boolean, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
isOutput(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Used only for DEBUG purposes.
isOutput() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper
isOverwrite() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
isProbabilityScore() - Method in class org.apache.mahout.classifier.evaluation.Auc
isSealed() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
isSequentialAccess() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
isSubPatternOf(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
isTraceEnabled() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
isTreeEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Condition
  Returns true is the checked instance matches the condition
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Equals
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.GreaterOrEquals
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Lesser
isWritesLaxPrecision() - Method in class org.apache.mahout.math.VectorWritable
ITEM_BIAS_INDEX - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  place in item vector where the bias is stored
ITEM_ID_INDEX_PATH_STR - Static variable in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
ITEM_ID_POS - Static variable in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
ItemAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.
ItemAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
ItemBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender
  Interface implemented by "item-based" recommenders.
itemFeaturesMapping(LongPrimitiveIterator, int, double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ItemFilterAsVectorAndPrefsReducer - Class in org.apache.mahout.cf.taste.hadoop.item
  we use a neat little trick to explicitly filter items for some users: we inject a NaN summand into the preference estimation for those items, which makes `AggregateAndRecommendReducer` automatically exclude them
ItemFilterAsVectorAndPrefsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer
ItemFilterMapper - Class in org.apache.mahout.cf.taste.hadoop.item
  map out all user/item pairs to filter, keyed by the itemID
ItemFilterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
ITEMID_INDEX - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
ItemIDIndexMapper - Class in org.apache.mahout.cf.taste.hadoop.item
ItemIDIndexMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
ItemIDIndexReducer - Class in org.apache.mahout.cf.taste.hadoop.item
ItemIDIndexReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
itemIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
itemIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
itemSimilarities(long, long[]) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
  A bulk-get version of `ItemSimilarity.itemSimilarity(long, long)`.
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Returns the similarity between two items.
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
ItemSimilarity - Interface in org.apache.mahout.cf.taste.similarity
  Implementations of this interface define a notion of similarity between two items.
itemSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
  Returns the degree of similarity, of two items, based on the preferences that users have expressed for the items.
ItemSimilarityJob - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  Distributed precomputation of the item-item-similarities for Itembased Collaborative Filtering
ItemSimilarityJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
ItemSimilarityJob.MostSimilarItemPairsMapper - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
ItemSimilarityJob.MostSimilarItemPairsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper
ItemSimilarityJob.MostSimilarItemPairsReducer - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
ItemSimilarityJob.MostSimilarItemPairsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsReducer
ItemUserAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  Like `ItemAverageRecommender`, except that estimated preferences are adjusted for the users' average preference value.
ItemUserAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
itemVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
  item features
itemVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  Item features
iterate(Iterable<Vector>, ClusterClassifier, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator
  Iterate over data using a prior-trained ClusterClassifier, for a number of iterations
iterateAll() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
iterateMR(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator
  Iterate over data using a prior-trained ClusterClassifier, for a number of iterations using a mapreduce implementation
iterateSeq(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator
  Iterate over data using a prior-trained ClusterClassifier, for a number of iterations using a sequential implementation
iterateUntilConvergence(double, int, int) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
iterateUntilConvergence(double, int, int, double) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
ITERATION_BLOCK_SIZE - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
iterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
iterator() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
iterator() - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans
iterator() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
iterator() - Method in class org.apache.mahout.common.iterator.FileLineIterable
iterator() - Method in class org.apache.mahout.common.iterator.SamplingIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable
iterator() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
iterator() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
iterator() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
iterator() - Method in class org.apache.mahout.math.neighborhood.BruteSearch
iterator() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
  This iterates on the snapshot of the contents first instantiated regardless of any future modifications.
iterator() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
iterator() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
IteratorTokenStream - Class in org.apache.mahout.common.lucene
  Used to emit tokens from an input string array in the style of TokenStream
IteratorTokenStream(Iterator<String>) - Constructor for class org.apache.mahout.common.lucene.IteratorTokenStream

## J

JDBCDataModel - Interface in org.apache.mahout.cf.taste.model
job() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
job() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver

## K

K - Static variable in class org.apache.mahout.clustering.kmeans.EigenSeedGenerator
K - Static variable in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
KEEP_TEMP_FILES - Static variable in class org.apache.mahout.math.hadoop.DistributedRowMatrix
KERNEL_PROFILE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
kernelProfileOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
keyFor(String) - Static method in class org.apache.mahout.common.AbstractJob
  Build the option key (--name) from the option name
Keys - Class in org.apache.mahout.clustering.spectral
keySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
keySetIterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
Kluster - Class in org.apache.mahout.clustering.kmeans
Kluster() - Constructor for class org.apache.mahout.clustering.kmeans.Kluster
  For (de)serialization as a Writable
Kluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.kmeans.Kluster
  Construct a new cluster with the given point as its center
KMeansClusteringPolicy - Class in org.apache.mahout.clustering.iterator
  This is a simple maximum likelihood clustering policy, suitable for k-means clustering
KMeansClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
KMeansClusteringPolicy(double) - Constructor for class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
KMeansConfigKeys - Class in org.apache.mahout.clustering.kmeans
  This class holds all config keys that are relevant to be used in the KMeans MapReduce configuration.
KMeansDriver - Class in org.apache.mahout.clustering.kmeans
KMeansDriver() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansDriver

## L

L1 - Class in org.apache.mahout.classifier.sgd
  Implements the Laplacian or bi-exponential prior.
L1() - Constructor for class org.apache.mahout.classifier.sgd.L1
L2 - Class in org.apache.mahout.classifier.sgd
  Implements the Gaussian prior.
L2(double) - Constructor for class org.apache.mahout.classifier.sgd.L2
L2() - Constructor for class org.apache.mahout.classifier.sgd.L2
LABEL_THETA_NORMALIZER - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
labelCode(String) - Method in class org.apache.mahout.classifier.df.data.Dataset
  Returns the code used to represent the label value in the data
labels() - Method in class org.apache.mahout.classifier.df.data.Dataset
labelWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
labelWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
lambda(double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Chainable configuration option.
lambda(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
lambda(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
lastTaskId - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
lastTaskId - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
layerSizeList - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
Leaf - Class in org.apache.mahout.classifier.df.node
  Represents a Leaf node
Leaf(double) - Constructor for class org.apache.mahout.classifier.df.node.Leaf
learningRate - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  Learning rate (step size)
learningRate - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Chainable configuration option.
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
  Chainable configuration option.
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
  Chainable configuration option.
learningRateDecay - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  Multiplicative decay factor for learning_rate
LeastKCache<K extends Comparable<? super K>,V> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
LeastKCache(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
leastSupport() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
length() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
length() - Method in class org.apache.mahout.common.IntegerTuple
  Returns the length of the tuple
length() - Method in class org.apache.mahout.common.StringTuple
  Returns the length of the tuple
length() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
lesser(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition
  Condition that checks if the given attribute has a value "lesser" than the given value
Lesser - Class in org.apache.mahout.classifier.df.data.conditions
  True if a given attribute has a value "lesser" than a given value
Lesser(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.Lesser
lessThan(SimilarItem, SimilarItem) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
lessThan(MutableRecommendedItem, MutableRecommendedItem) - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
lessThan(MutableElement, MutableElement) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
link(Vector) - Static method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Computes the inverse link function, by default the logistic link function.
link(double) - Static method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Computes the binomial logistic inverse link function.
list() - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures
listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Return a list of all files in the output directory
listStatus(FileSystem, Path) - Static method in class org.apache.mahout.common.HadoopUtil
listStatus(FileSystem, Path, PathFilter) - Static method in class org.apache.mahout.common.HadoopUtil
LLRReducer - Class in org.apache.mahout.vectorizer.collocations.llr
  Reducer for pass 2 of the collocation discovery job.
LLRReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
LLRReducer.ConcreteLLCallback - Class in org.apache.mahout.vectorizer.collocations.llr
  concrete implementation delegates to LogLikelihood class
LLRReducer.ConcreteLLCallback() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback
LLRReducer.LLCallback - Interface in org.apache.mahout.vectorizer.collocations.llr
  provide interface so the input to the llr calculation can be captured for validation in unit testing
LLRReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr
  Counter to track why a particlar entry was skipped
load() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
load() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy
load() - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.PersistenceStrategy
  Load a factorization from a persistent store.
load(Configuration, Path) - Static method in class org.apache.mahout.classifier.df.data.Dataset
  Loads the dataset from a file
load(Configuration, Path) - Static method in class org.apache.mahout.classifier.df.DecisionForest
  Load the forest from a single file or a directory of files
load(Configuration) - Static method in class org.apache.mahout.clustering.spectral.VectorCache
  Loads the vector from `DistributedCache`.
load(Configuration, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorCache
  Loads a Vector from the specified path.
loadAndSumUpperTriangularMatricesAsSymmetric(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
  Load multiple upper triangular matrices and sum them up.
loadAndSumUpVectors(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
loadData(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.data.DataLoader
  Loads the data from a file
loadData(Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader
  Loads the data from a String array
loadDataset(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Helper method.
LoadEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  Simple helper class for running load on a Recommender.
loadModel(Configuration, Path...) - Static method in class org.apache.mahout.clustering.lda.cvb.TopicModel
LoadStatistics - Class in org.apache.mahout.cf.taste.impl.eval
loadUpperTriangularMatrix(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
  Load only one upper triangular matrix and issue error if mroe than one is found.
LocalitySensitiveHashSearch - Class in org.apache.mahout.math.neighborhood
  Implements a Searcher that uses locality sensitivity hash as a first pass approximation to estimate distance without floating point math.
LocalitySensitiveHashSearch(DistanceMeasure, int) - Constructor for class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
log - Static variable in interface org.apache.mahout.common.parameters.Parametered
LOG_NORMALIZE - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
logLikelihood(int, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns a measure of how good the classification for a particular example actually is.
logLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
logLikelihoodRatio(long, long, long, long) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback
logLikelihoodRatio(long, long, long, long) - Method in interface org.apache.mahout.vectorizer.collocations.llr.LLRReducer.LLCallback
LogLikelihoodSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  See http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5962 and http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html.
LogLikelihoodSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
LoglikelihoodSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
LoglikelihoodSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.LoglikelihoodSimilarity
logLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping
  Maps input to positive values in the open interval (min, max) with 0 going to the geometric mean.
logMemoryStatistics() - Static method in class org.apache.mahout.common.MemoryUtil
  Logs current heap memory statistics.
logP(double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
logP(double) - Method in class org.apache.mahout.classifier.sgd.L1
logP(double) - Method in class org.apache.mahout.classifier.sgd.L2
logP(double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction
  Returns the log of the probability of a particular coefficient value according to the prior.
logP(double) - Method in class org.apache.mahout.classifier.sgd.TPrior
logP(double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
logsCRCFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters
LongPair - Class in org.apache.mahout.common
  A simple (ordered) pair of longs.
LongPair(long, long) - Constructor for class org.apache.mahout.common.LongPair
LongPrimitiveArrayIterator - Class in org.apache.mahout.cf.taste.impl.common
  While long[] is an Iterable, it is not an Iterable<Long>.
LongPrimitiveArrayIterator(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
  Creates an `LongPrimitiveArrayIterator` over an entire array.
LongPrimitiveIterator - Interface in org.apache.mahout.cf.taste.impl.common
  Adds notion of iterating over `long` primitives in the style of an `Iterator` -- as opposed to iterating over `Long`.
lookupDataSource(String) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
  Looks up a `DataSource` by name from JNDI.
LuceneTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes text using a lucene style tokenizer.
LuceneTextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder

## M

M_OPTION - Static variable in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
MahalanobisDistanceMeasure - Class in org.apache.mahout.common.distance
MahalanobisDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
MahoutDriver - Class in org.apache.mahout.driver
  General-purpose driver class for Mahout programs.
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.Describe
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.Frequencies
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.UDistrib
  Launch the uniform distribution tool.
main(String[]) - Static method in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
main(String[]) - Static method in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.BaumWelchTrainer
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.RandomSequenceGenerator
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.ViterbiEvaluator
main(String[]) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
main(String[]) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver
main(String[]) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
main(String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
main(String[]) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver
main(String[]) - Static method in class org.apache.mahout.driver.MahoutDriver
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
main(String[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli
main(String[]) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
main(String[]) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
main(String[]) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer
main(String[]) - Static method in class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles
main(String[]) - Static method in class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
main(String[]) - Static method in class org.apache.mahout.Version
main2(String[], Configuration) - Static method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
majorityLabel(Random) - Method in class org.apache.mahout.classifier.df.data.Data
  finds the majority label, breaking ties randomly
  This method can be used when the criterion variable is the categorical attribute.
ManhattanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate
ManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ManhattanDistanceMeasure
map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, LongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveImplicitFeedbackMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
map(VarIntWritable, VectorAndPrefsWritable, Mapper<VarIntWritable, VectorAndPrefsWritable, VarLongWritable, PrefAndSimilarityColumnWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper
map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper
map(IntWritable, NullWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper
map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
map(Text, VectorWritable, Mapper<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper
map(Text, VectorWritable, Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper
  Mapper which classifies the vectors to respective clusters.
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0TopicTermVectorNormalizerMapper
map(LongWritable, Text, Mapper<LongWritable, Text, IntWritable, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, IntDoublePairWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.UnitVectorizerJob.UnitVectorizerMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
map(IntWritable, WeightedVectorWritable, Mapper<IntWritable, WeightedVectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.TransposeMapper
map(Text, TopKStringPatterns, Mapper<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
map(LongWritable, Text, Mapper<LongWritable, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
map(LongWritable, Text, Mapper<LongWritable, Text, IntWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper
  The mapper computes a running sum of the vectors the task has seen.
map(IntWritable, TupleWritable, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, StringTuple, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper
map(IntWritable, Writable, Mapper<IntWritable, Writable, IntWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
  We maintain A and QtHat inputs partitioned the same way, so we essentially are performing map-side merge here of A and QtHats except QtHat is stored not row-wise but block-wise.
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
map(Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, Writable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
map(IntWritable, VectorWritable, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
map(T, VectorWritable, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
map(IntWritable, VectorWritable, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
map(Text, StringTuple, Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
  Collocation finder: pass 1 map phase.
map(Text, Text, Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
map(Text, Text, Mapper<Text, Text, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.EncodingMapper
map(Text, StringTuple, Mapper<Text, StringTuple, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountMapper
Mapping - Class in org.apache.mahout.ep
  Provides coordinate tranformations so that evolution can proceed on the entire space of reals but have the output limited and squished in convenient (and safe) ways.
Mapping.Exponential - Class in org.apache.mahout.ep
Mapping.Exponential() - Constructor for class org.apache.mahout.ep.Mapping.Exponential
Mapping.Identity - Class in org.apache.mahout.ep
Mapping.Identity() - Constructor for class org.apache.mahout.ep.Mapping.Identity
Mapping.LogLimit - Class in org.apache.mahout.ep
Mapping.LogLimit() - Constructor for class org.apache.mahout.ep.Mapping.LogLimit
Mapping.SoftLimit - Class in org.apache.mahout.ep
Mapping.SoftLimit() - Constructor for class org.apache.mahout.ep.Mapping.SoftLimit
MapredMapper<KEYIN,VALUEIN,KEYOUT,VALUEOUT> - Class in org.apache.mahout.classifier.df.mapreduce
  Base class for Mapred mappers.
MapredMapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredMapper
MapredOutput - Class in org.apache.mahout.classifier.df.mapreduce
  Used by various implementation to return the results of a build.
  Contains a grown tree and and its oob predictions.
MapredOutput() - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput
MapredOutput(Node, int[]) - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput
MapredOutput(Node) - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput
MAPREDUCE_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
matches(T) - Method in interface org.apache.mahout.cf.taste.impl.common.Cache.MatchPredicate
materialize(Path, Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
MatrixColumnMeansJob - Class in org.apache.mahout.math.hadoop
  MatrixColumnMeansJob is a job for calculating the column-wise mean of a DistributedRowMatrix.
MatrixColumnMeansJob.MatrixColumnMeansMapper - Class in org.apache.mahout.math.hadoop
  Mapper for calculation of column-wise mean.
MatrixColumnMeansJob.MatrixColumnMeansMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper
MatrixColumnMeansJob.MatrixColumnMeansReducer - Class in org.apache.mahout.math.hadoop
  The reducer adds the partial column-wise sums from each of the mappers to compute the total column-wise sum.
MatrixColumnMeansJob.MatrixColumnMeansReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer
MatrixDiagonalizeJob - Class in org.apache.mahout.clustering.spectral
  Given a matrix, this job returns a vector whose i_th element is the sum of all the elements in the i_th row of the original matrix.
MatrixDiagonalizeJob.MatrixDiagonalizeMapper - Class in org.apache.mahout.clustering.spectral
MatrixDiagonalizeJob.MatrixDiagonalizeMapper() - Constructor for class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeMapper
MatrixDiagonalizeJob.MatrixDiagonalizeReducer - Class in org.apache.mahout.clustering.spectral
MatrixDiagonalizeJob.MatrixDiagonalizeReducer() - Constructor for class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeReducer
MatrixMultiplicationJob - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
MatrixMultiplicationJob.MatrixMultiplicationReducer - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob.MatrixMultiplicationReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
MatrixMultiplicationJob.MatrixMultiplyMapper - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob.MatrixMultiplyMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
MatrixUtils - Class in org.apache.mahout.math
MatrixWritable - Class in org.apache.mahout.math
MatrixWritable() - Constructor for class org.apache.mahout.math.MatrixWritable
MatrixWritable(Matrix) - Constructor for class org.apache.mahout.math.MatrixWritable
MAX_DF - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner
MAX_DF - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
MAX_DISTANCE - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
MAX_HEAP_SIZE - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
MAX_ITERATIONS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MAX_ITERATIONS_PER_DOC - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
MAX_NGRAMS - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
MAX_NUM_ITERATIONS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  After mapping finishes, we get an intermediate set of vectors that represent approximate clusterings of the data from each Mapper.
MAX_PER_GROUP - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
MAX_REDUCERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MAX_SHINGLE_SIZE - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
MAX_SIMILARITIES_PER_ITEM - Static variable in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
MAX_TREEID - Static variable in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
maxDepth() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
maxDepth() - Method in class org.apache.mahout.classifier.df.node.Leaf
maxDepth() - Method in class org.apache.mahout.classifier.df.node.Node
maxDepth() - Method in class org.apache.mahout.classifier.df.node.NumericalNode
maxindex(Random, int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils
  return the index of the maximum of the array, breaking ties randomly
maxIterationsOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of max number of iterations.
maxTargetValue(int) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Defines the number of target variable categories, but allows this parser to pick encodings for them as they appear.
maxTargetValue(int) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
maybePersist(Factorization) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
maybePersist(Factorization) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy
maybePersist(Factorization) - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.PersistenceStrategy
  Write a factorization to a persistent store unless it already contains an identical factorization.
maybePut(Map<String, List<String>>, CommandLine, Option...) - Static method in class org.apache.mahout.common.AbstractJob
maybeRefresh(Collection<Refreshable>, Refreshable) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Adds the specified `Refreshable` to the given collection of `Refreshable`s if it is not already there and immediately refreshes it.
maybeSample(Vector, int) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
maybeWrapIterable(Iterable<T>, double) - Static method in class org.apache.mahout.common.iterator.SamplingIterable
maybeWrapIterator(LongPrimitiveIterator, double) - Static method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
meanMaxDepth() - Method in class org.apache.mahout.classifier.df.DecisionForest
meanNbNodes() - Method in class org.apache.mahout.classifier.df.DecisionForest
MemoryIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
  Implementation which stores the reverse long-to-String mapping in memory.
MemoryIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
MemoryUtil - Class in org.apache.mahout.common
  Memory utilities.
merge(ConfusionMatrix) - Method in class org.apache.mahout.classifier.ConfusionMatrix
merge(TopKStringPatterns, int) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
merge(Iterable<VectorWritable>) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
merge(Iterator<VectorWritable>) - Static method in class org.apache.mahout.math.VectorWritable
mergePartialVectors(Iterable<Path>, Path, Configuration, float, boolean, int, boolean, boolean, int) - Static method in class org.apache.mahout.vectorizer.common.PartialVectorMerger
  Merge all the partial `RandomAccessSparseVector`s into the complete Document `RandomAccessSparseVector`
mergePartialVectors(Iterable<Path>, Path, Configuration, float, boolean, int) - Static method in class org.apache.mahout.vectorizer.HighDFWordsPruner
mergeQrDown(double[][], double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeQrDown(UpperTriangular, double[][], UpperTriangular) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeQrUp(double[][], double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeQrUp(double[][], UpperTriangular, UpperTriangular) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeR(UpperTriangular, UpperTriangular) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeR(double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeRonQ(UpperTriangular, UpperTriangular, double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeRonQ(double[][], double[][], double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeToVector(Iterator<VectorWritable>) - Static method in class org.apache.mahout.math.VectorWritable
MergeVectorsCombiner - Class in org.apache.mahout.common.mapreduce
MergeVectorsCombiner() - Constructor for class org.apache.mahout.common.mapreduce.MergeVectorsCombiner
MergeVectorsReducer - Class in org.apache.mahout.common.mapreduce
MergeVectorsReducer() - Constructor for class org.apache.mahout.common.mapreduce.MergeVectorsReducer
METHOD_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
methodOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of sequential or parallel operation.
MIN_DF - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner
MIN_DF - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
MIN_LOG_LIKELIHOOD - Static variable in class org.apache.mahout.classifier.AbstractVectorClassifier
  Minimum allowable log likelihood value.
MIN_PREFERENCES_PER_USER - Static variable in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
MIN_SUPPORT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
MinkowskiDistanceMeasure - Class in org.apache.mahout.common.distance
  Implement Minkowski distance, a real-valued generalization of the integral L(n) distances: Manhattan = L1, Euclidean = L2.
MinkowskiDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
MinkowskiDistanceMeasure(double) - Constructor for class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
MixedGradient - Class in org.apache.mahout.classifier.sgd
  Provides a stochastic mixture of ranking updates and normal logistic updates.
MixedGradient(double, int) - Constructor for class org.apache.mahout.classifier.sgd.MixedGradient
Model<O> - Interface in org.apache.mahout.clustering
  A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
MODEL_TEMP_DIR - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
MODEL_WEIGHT - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
ModelDissector - Class in org.apache.mahout.classifier.sgd
  Uses sample data to reverse engineer a feature-hashed model.
ModelDissector() - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector
ModelDissector.Weight - Class in org.apache.mahout.classifier.sgd
ModelDissector.Weight(String, Vector) - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector.Weight
ModelDissector.Weight(String, Vector, int) - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector.Weight
ModelDistribution<O> - Interface in org.apache.mahout.clustering
  A model distribution allows us to sample a model from its prior distribution.
modelLikelihood(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Returns the likelihood that a given output sequence was produced by the given model.
modelLikelihood(Matrix, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Computes the likelihood that a given output sequence was computed by a given model using the alpha values computed by the forward algorithm.
modelLikelihood(HmmModel, int[], Matrix, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Computes the likelihood that a given output sequence was computed by a given model.
modelPath - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
modelPath(Path, int) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
ModelSerializer - Class in org.apache.mahout.classifier.sgd
  Provides the ability to store SGD model-related objects as binary files.
ModelTrainer - Class in org.apache.mahout.clustering.lda.cvb
  Multithreaded LDA model trainer class, which primarily operates by running a "map/reduce" operation, all in memory locally (ie not a hadoop job!) : the "map" operation is to take the "read-only" `TopicModel` and use it to iteratively learn the p(topic|term, doc) distribution for documents (this can be done in parallel across many documents, as the "read-only" model is, well, read-only.
ModelTrainer(TopicModel, TopicModel, int, int, int) - Constructor for class org.apache.mahout.clustering.lda.cvb.ModelTrainer
ModelTrainer(TopicModel, int, int, int) - Constructor for class org.apache.mahout.clustering.lda.cvb.ModelTrainer
  WARNING: this constructor may not lead to good behavior.
modelType - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
momentumWeight - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
mostSimilarItems(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
MostSimilarItemsCandidateItemsStrategy - Interface in org.apache.mahout.cf.taste.recommender
  Used to retrieve all items that could possibly be similar
mostSimilarUserIDs(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
mostSimilarUserIDs(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
MultiLabelVectorWritable - Class in org.apache.mahout.math
  Writable to handle serialization of a vector and a variable list of associated label indexes.
MultiLabelVectorWritable() - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
MultiLabelVectorWritable(Vector, int[]) - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
MultilayerPerceptron - Class in org.apache.mahout.classifier.mlp
  A Multilayer Perceptron (MLP) is a kind of feed-forward artificial neural network, which is a mathematical model inspired by the biological neural network.
MultilayerPerceptron() - Constructor for class org.apache.mahout.classifier.mlp.MultilayerPerceptron
  The default constructor.
MultilayerPerceptron(String) - Constructor for class org.apache.mahout.classifier.mlp.MultilayerPerceptron
  Initialize the MLP by specifying the location of the model.
MultithreadedBatchItemSimilarities - Class in org.apache.mahout.cf.taste.impl.similarity.precompute
  Precompute item similarities in parallel on a single machine.
MultithreadedBatchItemSimilarities(ItemBasedRecommender, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities
MultithreadedBatchItemSimilarities(ItemBasedRecommender, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities
MultithreadedSharingMapper<K1,V1,K2,V2> - Class in org.apache.mahout.cf.taste.hadoop.als
  Multithreaded Mapper for `SharingMapper`s.
MultithreadedSharingMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper
MultiTransactionTreeIterator - Class in org.apache.mahout.fpm.pfpgrowth
  Iterates over multiple transaction trees to produce a single iterator of transactions
MultiTransactionTreeIterator(Iterator<Pair<IntArrayList, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
murmur64(long, int, long) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
  Shortened version for data < 8 bytes packed into `len` lowest bytes of `val`.
murmur64(byte[], int, int, long) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
MutableElement - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
MutableRecommendedItem - Class in org.apache.mahout.cf.taste.hadoop
  Mutable variant of `RecommendedItem`
MutableRecommendedItem() - Constructor for class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
MutableRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
mutate() - Method in class org.apache.mahout.ep.State
  Clones this state with a random change in position.
mutatePopulation(int) - Method in class org.apache.mahout.ep.EvolutionaryProcess
  Nuke all but a few of the current population and then repopulate with variants of the survivors.
mutlithreadedTRightMultiply(Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
MySQLJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
  An implementation for MySQL.
MySQLJDBCIDMigrator(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator
MySQLJDBCIDMigrator(DataSource, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator

## N

NaiveBayesModel - Class in org.apache.mahout.classifier.naivebayes
  NaiveBayesModel holds the weight Matrix, the feature and label sums and the weight normalizer vectors.
NaiveBayesModel(Matrix, Vector, Vector, Vector, float) - Constructor for class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
name() - Method in class org.apache.mahout.common.parameters.AbstractParameter
name() - Method in interface org.apache.mahout.common.parameters.Parameter
NAMED_VECTOR - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
nbAttributes() - Method in class org.apache.mahout.classifier.df.data.Dataset
nblabels() - Method in class org.apache.mahout.classifier.df.data.Dataset
nbNodes() - Method in class org.apache.mahout.classifier.df.DecisionForest
nbNodes() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
nbNodes() - Method in class org.apache.mahout.classifier.df.node.Leaf
nbNodes() - Method in class org.apache.mahout.classifier.df.node.Node
nbNodes() - Method in class org.apache.mahout.classifier.df.node.NumericalNode
nbTrees(int, int, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
  Compute the number of trees for a given partition.
nbValues(int) - Method in class org.apache.mahout.classifier.df.data.Dataset
NearestNUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
  Computes a neighborhood consisting of the nearest n users to a given user.
NearestNUserNeighborhood(int, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NeuralNetwork - Class in org.apache.mahout.classifier.mlp
  AbstractNeuralNetwork defines the general operations for a neural network based model.
NeuralNetwork() - Constructor for class org.apache.mahout.classifier.mlp.NeuralNetwork
  The default constructor that initializes the learning rate, regularization weight, and momentum weight by default.
NeuralNetwork(double, double, double) - Constructor for class org.apache.mahout.classifier.mlp.NeuralNetwork
  Initialize the NeuralNetwork by specifying learning rate, momentum weight and regularization weight.
NeuralNetwork(String) - Constructor for class org.apache.mahout.classifier.mlp.NeuralNetwork
  Initialize the NeuralNetwork by specifying the location of the model.
NeuralNetwork.TrainingMethod - Enum in org.apache.mahout.classifier.mlp
NeuralNetworkFunctions - Class in org.apache.mahout.classifier.mlp
  The functions that will be used by NeuralNetwork.
NeuralNetworkFunctions() - Constructor for class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
newCall(long) - Method in class org.apache.mahout.common.TimingStatistics
  Ignores counting the performance metrics until leadTimeIsFinished The caller should enough time for the JIT to warm up.
next() - Method in class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
next() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
next(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
next() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
nextKeyValue() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
nextLong() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
nextStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
nextStep(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
NGRAM_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
NGRAM_TOTAL - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
NGrams - Class in org.apache.mahout.common.nlp
NGrams(String, int) - Constructor for class org.apache.mahout.common.nlp.NGrams
NO_FIXED_RANDOM_SEED - Static variable in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
NO_LIMIT_FACTOR - Static variable in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  Specify this value as a factor to mean no limit.
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastMap
NO_NORM - Static variable in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
NO_NORMALIZING - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
NO_THRESHOLD - Static variable in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
Node - Class in org.apache.mahout.classifier.df.node
  Represents an abstract node of a decision tree
Node() - Constructor for class org.apache.mahout.classifier.df.node.Node
Node.Type - Enum in org.apache.mahout.classifier.df.node
NoPersistenceStrategy - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  A `PersistenceStrategy` which does nothing.
NoPersistenceStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy
norm(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
norm(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
norm(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
norm(Vector) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
NORMALIZATION_POWER - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.PearsonCorrelationSimilarity
normalize(Vector) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
normalizeModel(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Function used to normalize the probabilities of a given HMM model
NoSuchItemException - Exception in org.apache.mahout.cf.taste.common
NoSuchItemException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchItemException(long) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchItemException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchUserException - Exception in org.apache.mahout.cf.taste.common
NoSuchUserException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NoSuchUserException(long) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NoSuchUserException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NullRescorer<T> - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple `Rescorer` which always returns the original score.
NUM_BALLKMEANS_RUNS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The percentage of points that go into the "training" set when evaluating BallKMeans runs in the reducer.
NUM_CLUSTERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
NUM_FLAGS - Static variable in class org.apache.mahout.math.VectorWritable
NUM_GROUPS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
NUM_GROUPS_DEFAULT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
NUM_PROJECTIONS_OPTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The number of projections to use when using a projection searcher like ProjectionSearch or FastProjectionSearch.
NUM_REDUCE_TASKS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_ROWS_KEY - Static variable in class org.apache.mahout.math.hadoop.TransposeJob
NUM_TERMS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_TOPICS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_TRAIN_THREADS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_UPDATE_THREADS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_USERS - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
numCategories() - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns the number of categories that a target variable can be assigned to.
numCategories() - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
numCategories - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numCategories() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numCategories() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
numCategories() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
numCategories() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
numCategories() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
numChildren() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
numClustersOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of numbers of clusters to create.
numCols() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
NumericalNode - Class in org.apache.mahout.classifier.df.node
  Represents a node that splits using a numerical attribute
NumericalNode() - Constructor for class org.apache.mahout.classifier.df.node.NumericalNode
NumericalNode(int, double, Node, Node) - Constructor for class org.apache.mahout.classifier.df.node.NumericalNode
numFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
numFeatures - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  Number of features used to compute this factorization
numFeatures() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
numFeatures() - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
numFeatures() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numFeatures() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  Returns the size of the internal feature vector.
numFeatures() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
numFeatures() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
numHidden() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
numItems() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
numLabels() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
numReducersOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Deprecated.
numRows() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
numSimilarItems() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
numSlices() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
numUsers() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

## O

observe(Model<VectorWritable>) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(VectorWritable) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(VectorWritable, double) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector, double) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector, double) - Method in interface org.apache.mahout.clustering.GaussianAccumulator
  Observe the vector
observe(O) - Method in interface org.apache.mahout.clustering.Model
  Observe the given observation, retaining information about it
observe(O, double) - Method in interface org.apache.mahout.clustering.Model
  Observe the given observation, retaining information about it
observe(Model<O>) - Method in interface org.apache.mahout.clustering.Model
  Observe the given model, retaining information about its observations
observe(Vector, double) - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
observe(Vector, double) - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
of(A, B) - Static method in class org.apache.mahout.common.Pair
Omega - Class in org.apache.mahout.math.hadoop.stochasticsvd
  simplistic implementation for Omega matrix in Stochastic SVD method
Omega(long, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.Omega
OnlineAuc - Interface in org.apache.mahout.math.stats
  Describes the generic outline of how to compute AUC.
OnlineGaussianAccumulator - Class in org.apache.mahout.clustering
  An online Gaussian statistics accumulator based upon Knuth (who cites Welford) which is declared to be numerically-stable.
OnlineGaussianAccumulator() - Constructor for class org.apache.mahout.clustering.OnlineGaussianAccumulator
OnlineLearner - Interface in org.apache.mahout.classifier
  The simplest interface for online learning algorithms.
OnlineLogisticRegression - Class in org.apache.mahout.classifier.sgd
  Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.
OnlineLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
OnlineLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
open() - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
open() - Method in interface org.apache.mahout.cf.taste.similarity.precompute.SimilarItemsWriter
openStream(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
OptIgSplit - Class in org.apache.mahout.classifier.df.split
  Optimized implementation of IgSplit
  This class can be used when the criterion variable is the categorical attribute.
OptIgSplit() - Constructor for class org.apache.mahout.classifier.df.split.OptIgSplit
OrderBasedRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  Evaluate recommender by comparing order of all raw prefs with order in recommender's output for that user.
org.apache.mahout - package org.apache.mahout
org.apache.mahout.cf.taste.common - package org.apache.mahout.cf.taste.common
org.apache.mahout.cf.taste.eval - package org.apache.mahout.cf.taste.eval
org.apache.mahout.cf.taste.hadoop - package org.apache.mahout.cf.taste.hadoop
org.apache.mahout.cf.taste.hadoop.als - package org.apache.mahout.cf.taste.hadoop.als
org.apache.mahout.cf.taste.hadoop.item - package org.apache.mahout.cf.taste.hadoop.item
org.apache.mahout.cf.taste.hadoop.preparation - package org.apache.mahout.cf.taste.hadoop.preparation
org.apache.mahout.cf.taste.hadoop.similarity.item - package org.apache.mahout.cf.taste.hadoop.similarity.item
org.apache.mahout.cf.taste.impl.common - package org.apache.mahout.cf.taste.impl.common
org.apache.mahout.cf.taste.impl.common.jdbc - package org.apache.mahout.cf.taste.impl.common.jdbc
org.apache.mahout.cf.taste.impl.eval - package org.apache.mahout.cf.taste.impl.eval
org.apache.mahout.cf.taste.impl.model - package org.apache.mahout.cf.taste.impl.model
org.apache.mahout.cf.taste.impl.model.file - package org.apache.mahout.cf.taste.impl.model.file
org.apache.mahout.cf.taste.impl.neighborhood - package org.apache.mahout.cf.taste.impl.neighborhood
org.apache.mahout.cf.taste.impl.recommender - package org.apache.mahout.cf.taste.impl.recommender
org.apache.mahout.cf.taste.impl.recommender.svd - package org.apache.mahout.cf.taste.impl.recommender.svd
org.apache.mahout.cf.taste.impl.similarity - package org.apache.mahout.cf.taste.impl.similarity
org.apache.mahout.cf.taste.impl.similarity.file - package org.apache.mahout.cf.taste.impl.similarity.file
org.apache.mahout.cf.taste.impl.similarity.precompute - package org.apache.mahout.cf.taste.impl.similarity.precompute
org.apache.mahout.cf.taste.model - package org.apache.mahout.cf.taste.model
org.apache.mahout.cf.taste.neighborhood - package org.apache.mahout.cf.taste.neighborhood
org.apache.mahout.cf.taste.recommender - package org.apache.mahout.cf.taste.recommender
org.apache.mahout.cf.taste.similarity - package org.apache.mahout.cf.taste.similarity
org.apache.mahout.cf.taste.similarity.precompute - package org.apache.mahout.cf.taste.similarity.precompute
org.apache.mahout.classifier - package org.apache.mahout.classifier
org.apache.mahout.classifier.df - package org.apache.mahout.classifier.df
org.apache.mahout.classifier.df.builder - package org.apache.mahout.classifier.df.builder
org.apache.mahout.classifier.df.data - package org.apache.mahout.classifier.df.data
org.apache.mahout.classifier.df.data.conditions - package org.apache.mahout.classifier.df.data.conditions
org.apache.mahout.classifier.df.mapreduce - package org.apache.mahout.classifier.df.mapreduce
org.apache.mahout.classifier.df.mapreduce.inmem - package org.apache.mahout.classifier.df.mapreduce.inmem
  In-memory mapreduce implementation of Random Decision Forests
org.apache.mahout.classifier.df.mapreduce.partial - package org.apache.mahout.classifier.df.mapreduce.partial
  Partial-data mapreduce implementation of Random Decision Forests
org.apache.mahout.classifier.df.node - package org.apache.mahout.classifier.df.node
org.apache.mahout.classifier.df.ref - package org.apache.mahout.classifier.df.ref
org.apache.mahout.classifier.df.split - package org.apache.mahout.classifier.df.split
org.apache.mahout.classifier.df.tools - package org.apache.mahout.classifier.df.tools
org.apache.mahout.classifier.evaluation - package org.apache.mahout.classifier.evaluation
org.apache.mahout.classifier.mlp - package org.apache.mahout.classifier.mlp
org.apache.mahout.classifier.naivebayes - package org.apache.mahout.classifier.naivebayes
org.apache.mahout.classifier.naivebayes.test - package org.apache.mahout.classifier.naivebayes.test
org.apache.mahout.classifier.naivebayes.training - package org.apache.mahout.classifier.naivebayes.training
org.apache.mahout.classifier.sequencelearning.hmm - package org.apache.mahout.classifier.sequencelearning.hmm
org.apache.mahout.classifier.sgd - package org.apache.mahout.classifier.sgd
  Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
org.apache.mahout.clustering - package org.apache.mahout.clustering
org.apache.mahout.clustering.canopy - package org.apache.mahout.clustering.canopy
org.apache.mahout.clustering.classify - package org.apache.mahout.clustering.classify
org.apache.mahout.clustering.fuzzykmeans - package org.apache.mahout.clustering.fuzzykmeans
org.apache.mahout.clustering.iterator - package org.apache.mahout.clustering.iterator
org.apache.mahout.clustering.kernel - package org.apache.mahout.clustering.kernel
org.apache.mahout.clustering.kmeans - package org.apache.mahout.clustering.kmeans
  This package provides an implementation of the k-means clustering algorithm.
org.apache.mahout.clustering.lda.cvb - package org.apache.mahout.clustering.lda.cvb
org.apache.mahout.clustering.spectral - package org.apache.mahout.clustering.spectral
org.apache.mahout.clustering.spectral.kmeans - package org.apache.mahout.clustering.spectral.kmeans
org.apache.mahout.clustering.streaming.cluster - package org.apache.mahout.clustering.streaming.cluster
org.apache.mahout.clustering.streaming.mapreduce - package org.apache.mahout.clustering.streaming.mapreduce
org.apache.mahout.clustering.topdown - package org.apache.mahout.clustering.topdown
org.apache.mahout.clustering.topdown.postprocessor - package org.apache.mahout.clustering.topdown.postprocessor
org.apache.mahout.common - package org.apache.mahout.common
org.apache.mahout.common.commandline - package org.apache.mahout.common.commandline
org.apache.mahout.common.distance - package org.apache.mahout.common.distance
org.apache.mahout.common.iterator - package org.apache.mahout.common.iterator
org.apache.mahout.common.iterator.sequencefile - package org.apache.mahout.common.iterator.sequencefile
org.apache.mahout.common.lucene - package org.apache.mahout.common.lucene
org.apache.mahout.common.mapreduce - package org.apache.mahout.common.mapreduce
org.apache.mahout.common.nlp - package org.apache.mahout.common.nlp
org.apache.mahout.common.parameters - package org.apache.mahout.common.parameters
org.apache.mahout.driver - package org.apache.mahout.driver
org.apache.mahout.ep - package org.apache.mahout.ep
  Provides basic evolutionary optimization using recorded-step mutation.
org.apache.mahout.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth
  MapReduce (parallel) implementation of FP Growth Algorithm for frequent Itemset Mining
org.apache.mahout.fpm.pfpgrowth.convertors - package org.apache.mahout.fpm.pfpgrowth.convertors
org.apache.mahout.fpm.pfpgrowth.convertors.integer - package org.apache.mahout.fpm.pfpgrowth.convertors.integer
org.apache.mahout.fpm.pfpgrowth.convertors.string - package org.apache.mahout.fpm.pfpgrowth.convertors.string
org.apache.mahout.fpm.pfpgrowth.fpgrowth - package org.apache.mahout.fpm.pfpgrowth.fpgrowth
org.apache.mahout.fpm.pfpgrowth.fpgrowth2 - package org.apache.mahout.fpm.pfpgrowth.fpgrowth2
org.apache.mahout.math - package org.apache.mahout.math
org.apache.mahout.math.hadoop - package org.apache.mahout.math.hadoop
org.apache.mahout.math.hadoop.decomposer - package org.apache.mahout.math.hadoop.decomposer
org.apache.mahout.math.hadoop.similarity - package org.apache.mahout.math.hadoop.similarity
org.apache.mahout.math.hadoop.similarity.cooccurrence - package org.apache.mahout.math.hadoop.similarity.cooccurrence
org.apache.mahout.math.hadoop.similarity.cooccurrence.measures - package org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
org.apache.mahout.math.hadoop.solver - package org.apache.mahout.math.hadoop.solver
org.apache.mahout.math.hadoop.stats - package org.apache.mahout.math.hadoop.stats
org.apache.mahout.math.hadoop.stochasticsvd - package org.apache.mahout.math.hadoop.stochasticsvd
org.apache.mahout.math.hadoop.stochasticsvd.qr - package org.apache.mahout.math.hadoop.stochasticsvd.qr
org.apache.mahout.math.neighborhood - package org.apache.mahout.math.neighborhood
org.apache.mahout.math.random - package org.apache.mahout.math.random
org.apache.mahout.math.ssvd - package org.apache.mahout.math.ssvd
org.apache.mahout.math.stats - package org.apache.mahout.math.stats
org.apache.mahout.vectorizer - package org.apache.mahout.vectorizer
org.apache.mahout.vectorizer.collocations.llr - package org.apache.mahout.vectorizer.collocations.llr
org.apache.mahout.vectorizer.common - package org.apache.mahout.vectorizer.common
org.apache.mahout.vectorizer.document - package org.apache.mahout.vectorizer.document
org.apache.mahout.vectorizer.encoders - package org.apache.mahout.vectorizer.encoders
org.apache.mahout.vectorizer.pruner - package org.apache.mahout.vectorizer.pruner
org.apache.mahout.vectorizer.term - package org.apache.mahout.vectorizer.term
org.apache.mahout.vectorizer.tfidf - package org.apache.mahout.vectorizer.tfidf
orthonormalizeColumns(Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GramSchmidt
OUT_TYPE_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
OUTLIER_REMOVAL_THRESHOLD - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys
OUTLIER_THRESHOLD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
outlierThresholdOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of OUTLIER THRESHOLD value.
OUTPUT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
OUTPUT_BBT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_BT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
OUTPUT_Q - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_QHAT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
OUTPUT_RHAT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
OUTPUT_SB - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_SQ - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_VECTOR_DIMENSION - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
OUTPUT_VECTOR_FILENAME - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
OUTPUT_YT_Y - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
outputFile - Variable in class org.apache.mahout.common.AbstractJob
outputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for output directory specification.
outputPath - Variable in class org.apache.mahout.common.AbstractJob
  output path, populated by `AbstractJob.parseArguments(String[])`
OVERSAMPLING - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
OVERSHOOTMULTIPLIER - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
OVERWRITE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
overwriteOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for output directory overwriting.

## P

Pair<A,B> - Class in org.apache.mahout.common
  A simple (ordered) pair of two objects.
Pair(A, B) - Constructor for class org.apache.mahout.common.Pair
PARALLEL_COUNTING - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
ParallelALSFactorizationJob - Class in org.apache.mahout.cf.taste.hadoop.als
  MapReduce implementation of the two factorization algorithms described in
ParallelALSFactorizationJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob
ParallelCountingMapper - Class in org.apache.mahout.fpm.pfpgrowth
  maps all items in a particular transaction like the way it is done in Hadoop WordCount example
ParallelCountingMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
ParallelCountingReducer - Class in org.apache.mahout.fpm.pfpgrowth
  sums up the item count and output the item and the count This can also be used as a local Combiner.
ParallelCountingReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelCountingReducer
parallelDo(EvolutionaryProcess.Function<Payload<U>>) - Method in class org.apache.mahout.ep.EvolutionaryProcess
  Execute an operation on all of the members of the population with many threads.
ParallelFPGrowthCombiner - Class in org.apache.mahout.fpm.pfpgrowth
  takes each group of dependent transactions and\ compacts it in a TransactionTree structure
ParallelFPGrowthCombiner() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthCombiner
ParallelFPGrowthMapper - Class in org.apache.mahout.fpm.pfpgrowth
  maps each transaction to all unique items groups in the transaction.
ParallelFPGrowthMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
ParallelFPGrowthReducer - Class in org.apache.mahout.fpm.pfpgrowth
  takes each group of transactions and runs Vanilla FPGrowth on it and outputs the the Top K frequent Patterns for each group.
ParallelFPGrowthReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
ParallelSGDFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  Minimalistic implementation of Parallel SGD factorizer based on "Scalable Collaborative Filtering Approaches for Large Recommender Systems" and "Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent"
ParallelSGDFactorizer(DataModel, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double, double, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer.PreferenceShuffler - Class in org.apache.mahout.cf.taste.impl.recommender.svd
ParallelSGDFactorizer.PreferenceShuffler(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
Parameter<T> - Interface in org.apache.mahout.common.parameters
  An accessor to a parameters in the job.
Parametered - Interface in org.apache.mahout.common.parameters
  Meta information and accessors for configuring a job.
Parametered.ParameteredGeneralizations - Class in org.apache.mahout.common.parameters
  "multiple inheritance"
Parameters - Class in org.apache.mahout.common
Parameters() - Constructor for class org.apache.mahout.common.Parameters
Parameters(String) - Constructor for class org.apache.mahout.common.Parameters
Parameters(Map<String, String>) - Constructor for class org.apache.mahout.common.Parameters
parent(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
parent() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
parseArguments(String[]) - Method in class org.apache.mahout.common.AbstractJob
  Parse the arguments specified based on the options defined using the various `addOption` methods.
parseArguments(String[], boolean, boolean) - Method in class org.apache.mahout.common.AbstractJob
parseDescriptor(CharSequence) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils
  Parses a descriptor string and generates the corresponding array of Attributes
parseDirectories(CommandLine, boolean, boolean) - Method in class org.apache.mahout.common.AbstractJob
  Obtain input and output directories from command-line options or hadoop properties.
parseElement(ResultSet) - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
parseMetaData(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
parseMetaData() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
parseOutput(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Parse the output files to extract the trees and pass the predictions to the callback
parseOutput(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder
parseOutput(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder
parseParams(String) - Static method in class org.apache.mahout.common.Parameters
partFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters
PartialBuilder - Class in org.apache.mahout.classifier.df.mapreduce.partial
  Builds a random forest using partial data.
PartialBuilder(TreeBuilder, Path, Path, Long) - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder
PartialBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder
PartialMultiplyMapper - Class in org.apache.mahout.cf.taste.hadoop.item
  maps similar items and their preference values per user
PartialMultiplyMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
PartialVectorMerger - Class in org.apache.mahout.vectorizer.common
  This class groups a set of input vectors.
PartialVectorMergeReducer - Class in org.apache.mahout.vectorizer.common
  Merges partial vectors in to a full sparse vector
PartialVectorMergeReducer() - Constructor for class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
partition() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
  Data partition (InputSplit's index) that was used to grow the tree
PassiveAggressive - Class in org.apache.mahout.classifier.sgd
  Online passive aggressive learner that tries to minimize the label ranking hinge loss.
PassiveAggressive(int, int) - Constructor for class org.apache.mahout.classifier.sgd.PassiveAggressive
PathDirectory - Class in org.apache.mahout.clustering.topdown
  Contains list of all internal paths used in top down clustering.
PathFilters - Class in org.apache.mahout.common.iterator.sequencefile
  Supplies some useful and repeatedly-used instances of `PathFilter`.
PathParameter - Class in org.apache.mahout.common.parameters
PathParameter(String, String, Configuration, Path, String) - Constructor for class org.apache.mahout.common.parameters.PathParameter
PathType - Enum in org.apache.mahout.common.iterator.sequencefile
  Used by `SequenceFileDirIterable` and the like to select whether the input path specifies a directory to list, or a glob pattern.
Pattern - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  A in FPGrowth is a list of items (here int) and the support(the number of times the pattern is seen in the dataset)
Pattern() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
Payload<T> - Interface in org.apache.mahout.ep
  Payloads for evolutionary state must be copyable and updatable.
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
pdf(O) - Method in interface org.apache.mahout.clustering.Model
  Return the probability that the observation is described by this model
PearsonCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of the Pearson correlation.
PearsonCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
PearsonCorrelationSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
PearsonCorrelationSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
PearsonCorrelationSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.PearsonCorrelationSimilarity
peek() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
peek() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
peek() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
percentCorrect() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
perplexity(Vector, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
  \(sum_x sum_a (c_ai * log(p(x|i) * p(a|x)))\)
perplexityPath(Path, int) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
persist(Path) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
persist(Path, boolean) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
PersistenceStrategy - Interface in org.apache.mahout.cf.taste.impl.recommender.svd
  Provides storage for `Factorization`s
persistVector(Path, int, Vector) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
perTermLearningRate(int) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
perTermLearningRate(int) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
PFP_PARAMETERS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
PFPGrowth - Class in org.apache.mahout.fpm.pfpgrowth
  Parallel FP Growth Driver Class.
PlusAnonymousConcurrentUserDataModel - Class in org.apache.mahout.cf.taste.impl.model
  This is a special thread-safe version of `PlusAnonymousUserDataModel` which allow multiple concurrent anonymous requests.
PlusAnonymousConcurrentUserDataModel(DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
PlusAnonymousUserDataModel - Class in org.apache.mahout.cf.taste.impl.model
  This `DataModel` decorator class is useful in a situation where you wish to recommend to a user that doesn't really exist yet in your actual `DataModel`.
PlusAnonymousUserDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
plusBlock(SparseRowBlockWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
  pluses one block into another.
plusRow(int, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
PolymorphicWritable - Class in org.apache.mahout.classifier.sgd
  Utilities that write a class name and then serialize using writables.
populateClusterModels(Path, Configuration) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper
POST_PROCESS_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
POWERITERS - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
predict(HmmModel, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Predict a sequence of steps output states for the given HMM model
predict(HmmModel, int, long) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Predict a sequence of steps output states for the given HMM model
PredictionMapper - Class in org.apache.mahout.cf.taste.hadoop.als
  a multithreaded mapper that loads the feature matrices U and M into memory.
PredictionMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper
predictTrace(Node, Data, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer
  Predict trace to String
predictTracePrint(Node, Data, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer
  Print predict trace
PrefAndSimilarityColumnWritable - Class in org.apache.mahout.cf.taste.hadoop.item
PrefAndSimilarityColumnWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
PrefAndSimilarityColumnWritable(float, Vector) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
Preference - Interface in org.apache.mahout.cf.taste.model
  A `Preference` encapsulates an item and a preference value, which indicates the strength of the preference for it.
PreferenceArray - Interface in org.apache.mahout.cf.taste.model
  An alternate representation of an array of `Preference`.
PreferenceInferrer - Interface in org.apache.mahout.cf.taste.similarity
  Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
PreferredItemsNeighborhoodCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
PreferredItemsNeighborhoodCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy
prefix() - Method in class org.apache.mahout.common.parameters.AbstractParameter
prefix() - Method in interface org.apache.mahout.common.parameters.Parameter
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>, String) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
  Create a map-only Hadoop Job out of the passed in parameters.
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
  Create a map and reduce Hadoop job.
PreparePreferenceMatrixJob - Class in org.apache.mahout.cf.taste.hadoop.preparation
PreparePreferenceMatrixJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
prepareTraining() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
prepareTraining() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
preventOverfitting - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  Parameter used to prevent overfitting.
prevWeightUpdatesList - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
print(String, String, String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer
  Print Decision Forest
print(Node, Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer
  Print Decision tree
print() - Method in class org.apache.mahout.common.Parameters
printHelp(Group) - Static method in class org.apache.mahout.common.CommandLineUtil
printHelpWithGenericOptions(Group) - Static method in class org.apache.mahout.common.CommandLineUtil
  Print the options supported by `GenericOptionsParser`.
printHelpWithGenericOptions(Group, OptionException) - Static method in class org.apache.mahout.common.CommandLineUtil
prior - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
PRIOR_PATH_KEY - Static variable in class org.apache.mahout.clustering.iterator.ClusterIterator
PriorFunction - Interface in org.apache.mahout.classifier.sgd
  A prior is used to regularize the learning algorithm.
process() - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
  This method takes the clustered points output by the clustering algorithms as input and writes them into their respective clusters.
processFile(FileLineIterator, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processFileWithoutID(FileLineIterator, FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processLine(String, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Reads one line from the input file and adds the data to a `FastByIDMap` data structure which maps user IDs to preferences.
processLine(String, Vector) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Decodes a single line of CSV data and records the target and predictor variables in a record.
processLine(CharSequence, Vector, boolean) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Decodes a single line of CSV data and records the target(if retrunTarget is true) and predictor variables in a record.
processLine(String, Vector) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
processLineWithoutID(String, FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
processOtherUser(long, FastIDSet, FastByIDMap<PreferenceArray>, long, DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RelevantItemsDataSplitter
  Adds a single user and all their preferences to the training model.
processOtherUser(long, FastIDSet, FastByIDMap<PreferenceArray>, long, DataModel) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter
processOutput(JobContext, Path, TreeID[], Node[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder
  Processes the output from the output path.
processSubgram(Iterator<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
  Sum frequencies for subgram, ngrams and deliver ngram, subgram pairs to the collector.
processTfIdf(Path, Path, Configuration, Pair<Long[], List<Path>>, int, long, float, boolean, boolean, boolean, int) - Static method in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
  Create Term Frequency-Inverse Document Frequency (Tf-Idf) Vectors from the input set of vectors in `SequenceFile` format.
processUnigram(Iterator<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
  Sum frequencies for unigrams and deliver to the collector
ProjectionSearch - Class in org.apache.mahout.math.neighborhood
  Does approximate nearest neighbor dudes search by projecting the data.
ProjectionSearch(DistanceMeasure, int, int) - Constructor for class org.apache.mahout.math.neighborhood.ProjectionSearch
PROP_AROWBLOCK_SIZE - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_AROWBLOCK_SIZE - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
PROP_BT_BROADCAST - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_BT_BROADCAST - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob
PROP_BT_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_BT_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob
PROP_K - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_K - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
PROP_K - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
PROP_NV - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_OMEGA_SEED - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_OMEGA_SEED - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
PROP_OUPTUT_BBT_PRODUCTS - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_OUTER_PROD_BLOCK_HEIGHT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_P - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_P - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
PROP_P - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
PROP_QJOB_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_RHAT_BROADCAST - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_SB_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_SB_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_SQ_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_SQ_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
PROP_XI_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_XI_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_XI_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
PrunedPartialVectorMergeReducer - Class in org.apache.mahout.vectorizer.pruner
PrunedPartialVectorMergeReducer() - Constructor for class org.apache.mahout.vectorizer.pruner.PrunedPartialVectorMergeReducer
pruneVectors(Path, Path, Path, long, long, Configuration, Pair<Long[], List<Path>>, float, boolean, int) - Static method in class org.apache.mahout.vectorizer.HighDFWordsPruner
put(long, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
put(K, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
putAll(Map<? extends K, ? extends V>) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
putCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix

## Q

qhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
qhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
QJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Compute first level of QHat-transpose blocks.
QJob.QMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
QJob.QMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
qr - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
qr - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
QRFirstStep - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr
  QR first step without MR abstractions and doing it just in terms of iterators and collectors.
QRFirstStep(Configuration, OutputCollector<? super Writable, ? super DenseBlockWritable>, OutputCollector<? super Writable, ? super VectorWritable>) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
QRLastStep - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr
  Second/last step of QR iterations.
QRLastStep(Iterator<DenseBlockWritable>, Iterator<VectorWritable>, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
quietClose(ResultSet) - Static method in class org.apache.mahout.common.IOUtils
quietClose(Statement) - Static method in class org.apache.mahout.common.IOUtils
quietClose(Connection) - Static method in class org.apache.mahout.common.IOUtils
quietClose(ResultSet, Statement, Connection) - Static method in class org.apache.mahout.common.IOUtils
  Closes a `ResultSet`, `Statement` and `Connection` (if not null) and logs (but does not rethrow) any resulting `SQLException`.

## R

random - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
RANDOM_INIT - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  Whether to use k-means++ initialization or random initialization of the seed centroids.
RANDOM_SEED - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
randomAttributes(Random, boolean[], int) - Static method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder
  Randomly selects m attributes to consider for split, excludes IGNORED and LABEL attributes
randomNoise - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  Standard deviation for random initialization of features
RandomProjector - Class in org.apache.mahout.math.random
RandomRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  Produces random recommendations and preference estimates.
RandomRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
RandomSeedGenerator - Class in org.apache.mahout.clustering.kmeans
  Given an Input Path containing a `SequenceFile`, randomly select k vectors and write them to the output file as a `Kluster` representing the initial centroid to use.
RandomSequenceGenerator - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Command-line tool for generating random sequences by given HMM
RankingGradient - Class in org.apache.mahout.classifier.sgd
  Uses the difference between this instance and recent history to get a gradient that optimizes ranking performance.
RankingGradient(int) - Constructor for class org.apache.mahout.classifier.sgd.RankingGradient
RATING_MATRIX - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
RATING_SHIFT - Static variable in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
RatingSGDFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  Matrix factorization with user and item biases for rating prediction, trained with plain vanilla SGD
RatingSGDFactorizer(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
RatingSGDFactorizer(DataModel, int, double, double, double, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
ratingVector(PreferenceArray) - Static method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
RAW_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
rBeta(double, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions
  Returns a random sample from a beta distribution with the given shapes
rBinomial(int, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions
  Returns an integer sampled according to this distribution.
read(DataInput) - Static method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
read(DataInput) - Static method in class org.apache.mahout.classifier.df.node.Node
read(DataInput, Class<? extends T>) - Static method in class org.apache.mahout.classifier.sgd.PolymorphicWritable
read(DataInput) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
read(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
read(Configuration, Path...) - Static method in class org.apache.mahout.math.MatrixUtils
read(DataInput) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
readAsIntMap(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
readBinary(DataInput) - Static method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
readBinary(InputStream, Class<T>) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
readDictionary(Configuration, Path...) - Static method in class org.apache.mahout.math.MatrixUtils
readDoubleArray(DataInput) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Reads a double[] from a DataInput
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.DecisionForest
  Reads the trees from the input and adds them to the existing trees
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.node.Leaf
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.node.NumericalNode
readFields(DataInput) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Read the fields of the model from input.
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.L1
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.L2
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.TPrior
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
readFields(DataInput) - Method in class org.apache.mahout.clustering.AbstractCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
readFields(DataInput) - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.kmeans.Kluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
readFields(DataInput) - Method in class org.apache.mahout.common.IntegerTuple
readFields(DataInput) - Method in class org.apache.mahout.common.IntPairWritable
readFields(DataInput) - Method in class org.apache.mahout.common.StringTuple
readFields(DataInput) - Method in class org.apache.mahout.ep.EvolutionaryProcess
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.Exponential
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.Identity
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.LogLimit
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
readFields(DataInput) - Method in class org.apache.mahout.ep.State
readFields(DataInput) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
readFields(DataInput) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
readFields(DataInput) - Method in class org.apache.mahout.math.MatrixWritable
readFields(DataInput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
readFields(DataInput) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
readFields(DataInput) - Method in class org.apache.mahout.math.VarIntWritable
readFields(DataInput) - Method in class org.apache.mahout.math.VarLongWritable
readFields(DataInput) - Method in class org.apache.mahout.math.VectorWritable
readFields(DataInput) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
readFields(DataInput) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
readFList(Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Generates the fList from the serialized string representation
readFList(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  read the feature frequency List which is built at the end of the Parallel counting job
readFrequentPattern(Configuration, Path) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
readFrequentPattern(Configuration, Path) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
readFrequentPattern(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Read the Frequent Patterns generated from Text
readFromModel() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Read the model meta-data from the specified location.
readFromSeqFiles(Configuration, Path) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
readID(String, boolean) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
readIDIndexMap(String, Configuration) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Reads a binary mapping file
readIndexFromCache(Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readInt(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
readIntArray(DataInput) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Reads an int[] from a DataInput
readItemIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Subclasses may wish to override this if ID values in the file are not numeric.
readLabelIndex(Configuration, Path) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readLabels(DataInput, Map<String, Integer>, Map<String, Integer>) - Static method in class org.apache.mahout.math.MatrixWritable
readMatrix(DataInput) - Static method in class org.apache.mahout.math.MatrixWritable
  Reads a typed Matrix instance from the input stream
readModelFromDir(Path, Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readNodeArray(DataInput) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Reads a Node[] from a DataInput
readPerplexity(Configuration, Path, int) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
readPolicy(Path) - Static method in class org.apache.mahout.clustering.classify.ClusterClassifier
readScoresFromCache(Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readSignedVarInt(DataInput) - Static method in class org.apache.mahout.math.Varint
readSignedVarLong(DataInput) - Static method in class org.apache.mahout.math.Varint
readTimestampFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Subclasses may wish to override this to change how time values in the input file are parsed.
readUnsignedVarInt(DataInput) - Static method in class org.apache.mahout.math.Varint
readUnsignedVarLong(DataInput) - Static method in class org.apache.mahout.math.Varint
readUserIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Subclasses may wish to override this if ID values in the file are not numeric.
readVector(DataInput) - Static method in class org.apache.mahout.math.VectorWritable
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
  Default implementation which just calls `Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer)`, with a `Rescorer` that does nothing.
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
recommend(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommend(long, int, IDRescorer) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommendedBecause(long, long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
recommendedBecause(long, long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
  Lists the items that were most influential in recommending a given item to a given user.
RecommendedItem - Interface in org.apache.mahout.cf.taste.recommender
  Implementations encapsulate items that are recommended, and include the item recommended and a value expressing the strength of the preference.
RecommendedItemsWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `Writable` which encapsulates a list of `RecommendedItem`s.
RecommendedItemsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
RecommendedItemsWritable(List<RecommendedItem>) - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
Recommender - Interface in org.apache.mahout.cf.taste.recommender
  Implementations of this interface can recommend items for a user.
RecommenderBuilder - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this inner interface are simple helper classes which create a `Recommender` to be evaluated based on the given `DataModel`.
RecommenderEvaluator - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this interface evaluate the quality of a `Recommender`'s recommendations.
RecommenderIRStatsEvaluator - Interface in org.apache.mahout.cf.taste.eval
  Implementations collect information retrieval-related statistics on a `Recommender`'s performance, including precision, recall and f-measure.
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.als
  Computes the top-N recommendations per user from a decomposition of the rating matrix
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.item
  Runs a completely distributed recommender job as a series of mapreduces.
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
RecordFactory - Interface in org.apache.mahout.classifier.sgd
  A record factor understands how to convert a line of data into fields and then into a vector.
reduce(VarLongWritable, Iterable<PrefAndSimilarityColumnWritable>, Reducer<VarLongWritable, PrefAndSimilarityColumnWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
reduce(VarLongWritable, Iterable<VarLongWritable>, Reducer<VarLongWritable, VarLongWritable, VarIntWritable, VectorAndPrefsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer
reduce(VarIntWritable, Iterable<VarLongWritable>, Reducer<VarIntWritable, VarLongWritable, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
reduce(VarLongWritable, Iterable<VarLongWritable>, Reducer<VarLongWritable, VarLongWritable, VarLongWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
reduce(VarIntWritable, Iterable<VectorOrPrefWritable>, Reducer<VarIntWritable, VectorOrPrefWritable, VarIntWritable, VectorAndPrefsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToVectorAndPrefReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsReducer
reduce(EntityEntityWritable, Iterable<DoubleWritable>, Reducer<EntityEntityWritable, DoubleWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsReducer
reduce(Text, Iterable<VectorWritable>, Reducer<Text, VectorWritable, Text, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer
reduce(IntWritable, Iterable<ClusterWritable>, Reducer<IntWritable, ClusterWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIReducer
reduce(IntWritable, Iterable<DistributedRowMatrix.MatrixEntryWritable>, Reducer<IntWritable, DistributedRowMatrix.MatrixEntryWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputReducer
reduce(NullWritable, Iterable<IntDoublePairWritable>, Reducer<NullWritable, IntDoublePairWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeReducer
reduce(IntWritable, Iterable<CentroidWritable>, Reducer<IntWritable, CentroidWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer
  The key is the remapped cluster id and the values contains the vectors in that cluster.
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.MergeVectorsCombiner
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.MergeVectorsReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.VectorSumCombiner
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.VectorSumReducer
reduce(Text, Iterable<TopKStringPatterns>, Reducer<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingReducer
reduce(IntWritable, Iterable<TransactionTree>, Reducer<IntWritable, TransactionTree, IntWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthCombiner
reduce(IntWritable, Iterable<TransactionTree>, Reducer<IntWritable, TransactionTree, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
reduce(NullWritable, Iterable<VectorWritable>, Reducer<NullWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer
reduce(IntWritable, Iterator<VectorWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeToTopKSimilaritiesReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeVectorsReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SimilarityReducer
reduce(NullWritable, Iterable<VectorWritable>, Reducer<NullWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SumObservationsReducer
reduce(IntWritable, Iterable<DoubleWritable>, Reducer<IntWritable, DoubleWritable, IntWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorReducer
reduce(SplitPartitionedWritable, Iterable<DenseBlockWritable>, Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
reduce(SplitPartitionedWritable, Iterable<SparseRowBlockWritable>, Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
reduce(Writable, Iterable<SparseRowBlockWritable>, Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
reduce(LongWritable, Iterable<SparseRowBlockWritable>, Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer
reduce(NullWritable, Iterator<VectorWritable>, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
reduce(WritableComparable<?>, Iterator<VectorWritable>, OutputCollector<WritableComparable<?>, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.MergeVectorsCombiner
reduce(WritableComparable<?>, Iterator<VectorWritable>, OutputCollector<WritableComparable<?>, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.MergeVectorsReducer
reduce(GramKey, Iterable<Gram>, Reducer<GramKey, Gram, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner
reduce(GramKey, Iterable<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
  collocation finder: pass 1 reduce phase:

  given input from the mapper,
reduce(Gram, Iterable<Gram>, Reducer<Gram, Gram, Text, DoubleWritable>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
  Perform LLR calculation, input is: k:ngram:ngramFreq v:(h_|t_)subgram:subgramfreq N = ngram total Each ngram will have 2 subgrams, a head and a tail, referred to as A and B respectively below.
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.PrunedPartialVectorMergeReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.WordsPrunerReducer
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountCombiner
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountReducer
reduce(IntWritable, Iterable<LongWritable>, Reducer<IntWritable, LongWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountReducer
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
REDUCE_STREAMING_KMEANS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  Whether to run another pass of StreamingKMeans on the reducer's points before BallKMeans.
REDUCERS - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
refresh(Collection<Refreshable>) - Method in interface org.apache.mahout.cf.taste.common.Refreshable
  Triggers "refresh" -- whatever that means -- of the implementation.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Typically this is called in `Refreshable.refresh(java.util.Collection)` and is the entire body of that method.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
  Refresh the data model and factorization.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
Refreshable - Interface in org.apache.mahout.cf.taste.common
  Implementations of this interface have state that can be periodically refreshed.
RefreshHelper - Class in org.apache.mahout.cf.taste.impl.common
  A helper class for implementing `Refreshable`.
RefreshHelper(Callable<?>) - Constructor for class org.apache.mahout.cf.taste.impl.common.RefreshHelper
registerHiddenStateNames(String[]) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register an array of hidden state Names.
registerHiddenStateNames(Map<String, Integer>) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register a map of hidden state Names/state IDs
registerOutputStateNames(String[]) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register an array of hidden state Names.
registerOutputStateNames(Map<String, Integer>) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register a map of hidden state Names/state IDs
RegressionResultAnalyzer - Class in org.apache.mahout.classifier
  ResultAnalyzer captures the classification statistics and displays in a tabular manner
RegressionResultAnalyzer() - Constructor for class org.apache.mahout.classifier.RegressionResultAnalyzer
RegressionSplit - Class in org.apache.mahout.classifier.df.split
  Regression problem implementation of IgSplit.
RegressionSplit() - Constructor for class org.apache.mahout.classifier.df.split.RegressionSplit
regularization(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Chainable configuration option.
regularizationWeight - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
regularize(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
reindexCentroids() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
releaseUser(Long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
  Release previously taken anonymous user and return it to the pool.
RelevantItemsDataSplitter - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this interface determine the items that are considered relevant, and splits data into a training and test subset, for purposes of precision/recall tests as implemented by implementations of `RecommenderIRStatsEvaluator`.
reload() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
reload() - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
remove(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Uncaches any existing value for a given key.
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
remove(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
remove() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
remove() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
remove() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.Searcher
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.UpdatableSearcher
removeAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
removeAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
removeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
removeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
removeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
removeDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
removeHash(WeightedThing<Vector>) - Static method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
removeHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
removeKeysMatching(Cache.MatchPredicate<K>) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Clears all cache entries whose key matches the given predicate.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  See the warning at `FileDataModel.setPreference(long, long, float)`.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
  Default implementation which just calls `DataModel.removePreference(long, long)` (Object, Object)}.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Removes a particular preference for a user.
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
removeValueMatching(Cache.MatchPredicate<V>) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Clears all cache entries whose value matches the given predicate.
renormalize() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
reorderHeaderTable() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
replaceAt(int, Integer) - Method in class org.apache.mahout.common.IntegerTuple
  Replaces the string at the given index with the given newString
replaceAt(int, String) - Method in class org.apache.mahout.common.StringTuple
  Replaces the string at the given index with the given newString
replaceChild(int, int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
rescore(T, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
rescore(long, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
rescore(long, double) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
rescore(T, double) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
Rescorer<T> - Interface in org.apache.mahout.cf.taste.recommender
  A `Rescorer` simply assigns a new "score" to a thing like an ID of an item or user which a `Recommender` is considering returning as a top recommendation.
reset() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
reset() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
reset() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
reset() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
reset() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
resetEvaluationCount() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
  This is only for testing.
resetLineCounter() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
ResultAnalyzer - Class in org.apache.mahout.classifier
  ResultAnalyzer captures the classification statistics and displays in a tabular manner
ResultAnalyzer(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ResultAnalyzer
ResultSetIterator<T> - Class in org.apache.mahout.cf.taste.impl.common.jdbc
ResultSetIterator(DataSource, String) - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
retainAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
retrievePerLabelThetaNormalizer() - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
Retriever<K,V> - Interface in org.apache.mahout.cf.taste.impl.common
  Implementations can retrieve a value for a given key.
retrieveTimesSquaredOutputVector(Configuration) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
rGamma(double, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions
  Returns a double sampled according to this distribution.
rhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
rhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
RMSRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  A `RecommenderEvaluator` which computes the "root mean squared" difference between predicted and actual ratings for users.
RMSRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
rNorm(double, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions
  Return a random value from a normal distribution with the given mean and standard deviation
root() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Returns the root node of the tree.
ROOTNODEID - Static variable in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
RowSimilarityJob - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
RowSimilarityJob.CooccurrencesMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.CooccurrencesMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper
RowSimilarityJob.CountObservationsMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.CountObservationsMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper
RowSimilarityJob.MergeToTopKSimilaritiesReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.MergeToTopKSimilaritiesReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeToTopKSimilaritiesReducer
RowSimilarityJob.MergeVectorsReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.MergeVectorsReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeVectorsReducer
RowSimilarityJob.SimilarityReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.SimilarityReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SimilarityReducer
RowSimilarityJob.SumObservationsReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.SumObservationsReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SumObservationsReducer
RowSimilarityJob.UnsymmetrifyMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.UnsymmetrifyMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper
RowSimilarityJob.VectorNormMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.VectorNormMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
rsplit(Random, int) - Method in class org.apache.mahout.classifier.df.data.Data
  Splits the data in two, returns one part, and this gets the rest of the data.
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator
run(Mapper<K1, V1, K2, V2>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
run() - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier
run(String[]) - Method in class org.apache.mahout.classifier.df.tools.Frequencies
run(Configuration) - Method in class org.apache.mahout.classifier.df.tools.FrequenciesJob
run(String[]) - Method in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
run(String[]) - Method in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
run(String[]) - Method in class org.apache.mahout.clustering.canopy.CanopyDriver
run(Configuration, Path, Path, DistanceMeasure, double, double, double, double, int, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Build a directory of Canopy clusters from the input arguments and, if requested, cluster the input vectors using these clusters
run(Configuration, Path, Path, DistanceMeasure, double, double, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Convenience method to provide backward compatibility
run(Path, Path, DistanceMeasure, double, double, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Convenience method creates new Configuration() Build a directory of Canopy clusters from the input arguments and, if requested, cluster the input vectors using these clusters
run(String[]) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver
  CLI to run Cluster Classification Driver.
run(Configuration, Path, Path, Path, Double, boolean, boolean) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver
  Uses `ClusterClassifier` to classify input vectors into their respective clusters.
run(Configuration, Path, Path, Path, double, boolean, boolean) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver
run(String[]) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
run(Path, Path, Path, double, int, float, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Configuration, Path, Path, Path, double, int, float, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.kmeans.KMeansDriver
run(Configuration, Path, Path, Path, double, int, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Path, Path, Path, double, int, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Reducer<DoubleWritable, DoubleWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver.DualDoubleSumReducer
run(String[]) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
run(Configuration, Path, Path, int, int, double, double, int, int, double, Path, Path, Path, long, float, int, int, int, int, boolean) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
run(String[]) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
run(String[]) - Method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
run(Configuration, Path, Path, int, int, DistanceMeasure, double, int, Path, boolean) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
run(Configuration, Path, Path, int, int, DistanceMeasure, double, int, Path, boolean, int, int, int, int) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
  Run the Spectral KMeans clustering on the supplied arguments
run(String[]) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
run(Configuration, Path, Path) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver
  CLI to run clustering post processor.
run(Path, Path, boolean) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver
  Post processes the output of clustering algorithms and groups them into respective clusters.
run(String[]) - Method in class org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver
  Run TopK FPGrowth given the input file,
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
run(Path, Path, Path, Path, int, int, boolean, int, double, double, boolean) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  Run the solver to produce raw eigenvectors, then run the EigenVerificationJob to clean them
run(Path, Path, Path, Path, int, int, boolean, int) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  Run the solver to produce the raw eigenvectors
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
run(Path, Path, Path, Path, double, double, boolean, Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
  Run the job with the given arguments
run(Configuration, Path, Path) - Static method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob
run(Configuration, Path, Path, String) - Static method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob
  Job for calculating column-wise mean of a DistributedRowMatrix
run(String[]) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
run(Configuration, Path, Path, Path, DistanceMeasure, String) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
run(Configuration, Path, Path, Path, DistanceMeasure, String, Double) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
run(Configuration, Path[], Path, Path, Path, Path, Path, int, int, int, int, int, int, boolean) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
run(Configuration, Path[], Path, Path, int, int, int, int, int, int, boolean) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob
run(Configuration, Path[], Path, Path, Path, int, int, int, int, int, boolean, Class<? extends Writable>, boolean) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
run(Configuration, Path[], Path, Path, int, int, int, int, long, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli
run() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  run all SSVD jobs.
run(Configuration, Path, Path, Path, Path, int, int, Class<? extends Writable>, SSVDSolver.OutputScalingEnum) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob
run(Configuration, Path, Path, Path, Path, Path, Path, int, int, SSVDSolver.OutputScalingEnum) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
run(Configuration, Path[], Path, int, int, long) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.TransposeJob
run(String[]) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
run(String[]) - Method in class org.apache.mahout.vectorizer.DictionaryVectorizer
run(String[]) - Method in class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles
run(String[]) - Method in class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
runIteration(Configuration, Path, Path, Path, int, int, int) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
runJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Sequential implementation should override this method to simulate the job execution
runJob(Path, Path, int, int) - Static method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputJob
  Initializes and executes the job of reading the documents containing the data of the affinity matrix in (x_i, x_j, value) format.
runJob(Path, Path, int) - Static method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputJob
  A transparent wrapper for the above method which handles the tedious tasks of setting and retrieving system Paths.
runJob(Path, int) - Static method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob
runJob(Path, Path) - Static method in class org.apache.mahout.clustering.spectral.UnitVectorizerJob
runJob(Path, Vector, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob
  Invokes the job.
runJob(Path, Vector, Path, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob
runJob(Configuration, LanczosState, int, boolean, String) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
runJob(Configuration, Path, Path, int, int, boolean, int, String) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  Factored-out LanczosSolver for the purpose of invoking it programmatically
runJob(Configuration, Path, Path, Path, boolean, double, int) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
  Progammatic invocation of run()
runJob(Path, Path, int, int, Vector, Preconditioner, int, double) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
  Runs the distributed conjugate gradient solver programmatically to solve the system (A + lambda*I)x = b.
runLoad(Recommender) - Static method in class org.apache.mahout.cf.taste.impl.eval.LoadEvaluator
runLoad(Recommender, int) - Static method in class org.apache.mahout.cf.taste.impl.eval.LoadEvaluator
runMapReduce(Configuration, Path, Path) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
RunningAverage - Interface in org.apache.mahout.cf.taste.impl.common
  Interface for classes that can keep track of a running average of a series of numbers.
RunningAverageAndStdDev - Interface in org.apache.mahout.cf.taste.impl.common
  Extends `RunningAverage` by adding standard deviation too.
RunningSumsGaussianAccumulator - Class in org.apache.mahout.clustering
  An online Gaussian accumulator that uses a running power sums approach as reported on http://en.wikipedia.org/wiki/Standard_deviation Suffers from overflow, underflow and roundoff error but has minimal observe-time overhead
RunningSumsGaussianAccumulator() - Constructor for class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
runPFPGrowth(Parameters, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
runPFPGrowth(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth

## S

sample(Vector) - Method in class org.apache.mahout.math.stats.Sampler
sample() - Method in class org.apache.mahout.math.stats.Sampler
sampleFromPosterior() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
sampleFromPosterior() - Method in interface org.apache.mahout.clustering.Model
sampleFromPosterior(Model<O>[]) - Method in interface org.apache.mahout.clustering.ModelDistribution
  Return a list of models sampled from the posterior
sampleFromPrior(int) - Method in interface org.apache.mahout.clustering.ModelDistribution
  Return a list of models sampled from the prior
Sampler - Class in org.apache.mahout.math.stats
  Discrete distribution sampler: Samples from a given discrete distribution: you provide a source of randomness and a Vector (cardinality N) which describes a distribution over [0,N), and calls to sample() sample from 0 to N using this distribution
Sampler(Random) - Constructor for class org.apache.mahout.math.stats.Sampler
Sampler(Random, double[]) - Constructor for class org.apache.mahout.math.stats.Sampler
Sampler(Random, Vector) - Constructor for class org.apache.mahout.math.stats.Sampler
sampleTerm(Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
sampleTerm(int) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
SamplingCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
  Returns all items that have not been rated by the user (3) and that were preferred by another user (2) that has preferred at least one item (1) that the current user has preferred too.
SamplingCandidateItemsStrategy(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  Defaults to using no limit (`SamplingCandidateItemsStrategy.NO_LIMIT_FACTOR`) for all factors, except `candidatesPerUserFactor` which defaults to `SamplingCandidateItemsStrategy.DEFAULT_FACTOR`.
SamplingCandidateItemsStrategy(int, int, int, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
SamplingIterable<T> - Class in org.apache.mahout.common.iterator
  Wraps an `Iterable` whose `Iterable.iterator()` returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterable(Iterable<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterable
SamplingIterator<T> - Class in org.apache.mahout.common.iterator
  Wraps an `Iterator` and returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterator(Iterator<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterator
SamplingIterator(RandomWrapper, Iterator<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterator
SamplingLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
  Wraps a `LongPrimitiveIterator` and returns only some subset of the elements that it would, as determined by a sampling rate parameter.
SamplingLongPrimitiveIterator(LongPrimitiveIterator, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
SamplingLongPrimitiveIterator(RandomWrapper, LongPrimitiveIterator, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
save(Writable, Vector, Path, Configuration, boolean, boolean) - Static method in class org.apache.mahout.clustering.spectral.VectorCache
save(Writable, Vector, Path, Configuration) - Static method in class org.apache.mahout.clustering.spectral.VectorCache
  Calls the save() method, setting the cache to overwrite any previous Path and to delete the path after exiting
saveFList(Iterable<Pair<String, Long>>, Parameters, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Serializes the fList and returns the string representation of the List
saveVector(Vector, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
  save single vector into hdfs file.
sb - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
scale(VectorWritable) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
  Scans the list of reference vectors one at a time for @limit neighbors of the query vector.
search(Iterable<WeightedVector>, int, int) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
  Searches with a list full of queries in a threaded fashion.
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
  When querying the Searcher for the closest vectors, a list of WeightedThing<Vector>s is returned.
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
  Searches for the query vector returning the closest limit referenceVectors.
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.Searcher
  When querying the Searcher for the closest vectors, a list of WeightedThing<Vector>s is returned.
search(Iterable<? extends Vector>, int) - Method in class org.apache.mahout.math.neighborhood.Searcher
SEARCH_SIZE_OPTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  When using approximate searches (anything that's not BruteSearch), more than just the seemingly closest element must be considered.
Searcher - Class in org.apache.mahout.math.neighborhood
  Describes how to search a bunch of vectors.
Searcher(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.Searcher
SEARCHER_CLASS_OPTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The Searcher class when performing nearest neighbor search in StreamingKMeans.
searcherFromConfiguration(Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR
  Instantiates a searcher from a given configuration.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
  Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
  Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
  Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
  Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.Searcher
  Returns the closest vector to the query.
searchFirst(Iterable<? extends Vector>, boolean) - Method in class org.apache.mahout.math.neighborhood.Searcher
SEEDS - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
SEEDS_PATH_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
select(Vector) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
select(Vector) - Method in class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
select(Vector) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy
  Return a vector of weights for each of the models given those probabilities
select(Vector) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
SequenceFileDirIterable<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  `Iterable` counterpart to `SequenceFileDirIterator`.
SequenceFileDirIterable(Path, PathType, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
SequenceFileDirIterable(Path, PathType, PathFilter, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
SequenceFileDirIterable(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
SequenceFileDirIterator<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  Like `SequenceFileIterator`, but iterates not just over one sequence file, but many.
SequenceFileDirIterator(Path[], boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator
  Multifile sequence file iterator where files are specified explicitly by path parameters.
SequenceFileDirIterator(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator
  Constructor that uses either `FileSystem.listStatus(Path)` or `FileSystem.globStatus(Path)` to obtain list of files to iterate over (depending on pathType parameter).
SequenceFileDirValueIterable<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  `Iterable` counterpart to `SequenceFileDirValueIterator`.
SequenceFileDirValueIterable(Path, PathType, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
SequenceFileDirValueIterable(Path, PathType, PathFilter, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
SequenceFileDirValueIterable(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
SequenceFileDirValueIterator<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  Like `SequenceFileValueIterator`, but iterates not just over one sequence file, but many.
SequenceFileDirValueIterator(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator
  Constructor that uses either `FileSystem.listStatus(Path)` or `FileSystem.globStatus(Path)` to obtain list of files to iterate over (depending on pathType parameter).
SequenceFileDirValueIterator(Path[], Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator
  Multifile sequence file iterator where files are specified explicitly by path parameters.
SequenceFileIterable<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  `Iterable` counterpart to `SequenceFileIterator`.
SequenceFileIterable(Path, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable
  Like `SequenceFileIterable.SequenceFileIterable(Path, boolean, Configuration)` but key and value instances are not reused by default.
SequenceFileIterable(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable
SequenceFileIterator<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  `Iterator` over a `SequenceFile`'s keys and values, as a `Pair` containing key and value.
SequenceFileIterator(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
SequenceFileOutputCollector<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  Collects the `Writable` key and `Writable` value, and writes them into a `SequenceFile`
SequenceFileOutputCollector(SequenceFile.Writer) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
SequenceFileTokenizerMapper - Class in org.apache.mahout.vectorizer.document
  Tokenizes a text document and outputs tokens in a StringTuple
SequenceFileTokenizerMapper() - Constructor for class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
SequenceFileValueIterable<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  `Iterable` counterpart to `SequenceFileValueIterator`.
SequenceFileValueIterable(Path, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable
  Like `SequenceFileValueIterable.SequenceFileValueIterable(Path, boolean, Configuration)` but instances are not reused by default.
SequenceFileValueIterable(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable
SequenceFileValueIterator<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile
  `Iterator` over a `SequenceFile`'s values only.
SequenceFileValueIterator(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
SEQUENTIAL_ACCESS - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
SEQUENTIAL_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
SequentialBuilder - Class in org.apache.mahout.classifier.df.ref
  Builds a Random Decision Forest using a given TreeBuilder to grow the trees
SequentialBuilder(Random, TreeBuilder, Data) - Constructor for class org.apache.mahout.classifier.df.ref.SequentialBuilder
  Constructor
SequentialOutOfCoreSvd - Class in org.apache.mahout.math.ssvd
  Sequential block-oriented out of core SVD algorithm.
SequentialOutOfCoreSvd(Iterable<File>, File, int, int) - Constructor for class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
serialize(Path, Configuration) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
serializeOutput(LanczosState, Path) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
set(float, Vector) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
set(Vector, List<Long>, List<Float>) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
set(long, float) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
set(long, float) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
set(List<RecommendedItem>) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
set(int, Preference) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets preference at i from information in the given `Preference`
set(long, double) - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
set(int, double) - Method in class org.apache.mahout.classifier.df.data.Instance
  Set the value at the given index
set(int, int) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
set(int, int) - Method in class org.apache.mahout.common.IntPairWritable
set(T) - Method in class org.apache.mahout.common.parameters.AbstractParameter
set(T) - Method in interface org.apache.mahout.common.parameters.Parameter
set(String, String) - Method in class org.apache.mahout.common.Parameters
set(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
set(double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
set(Matrix) - Method in class org.apache.mahout.math.MatrixWritable
set(int) - Method in class org.apache.mahout.math.VarIntWritable
set(long) - Method in class org.apache.mahout.math.VarLongWritable
set(Vector) - Method in class org.apache.mahout.math.VectorWritable
set(Gram, byte[]) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
  set the gram held by this key
setAbtBlockHeight(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  the block height of Y_i during power iterations.
setAnalyzer(Analyzer) - Method in class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder
setAnalyzerClassName(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setAveragingWindow(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setBest(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setBeta(int, int, double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setBlock(double[][]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
setBroadcast(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  If this property is true, use DestributedCache mechanism to broadcast some stuff around.
setBuffer(List<AdaptiveLogisticRegression.TrainingExample>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setCardinality(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setCenter(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setChunkSizeInMegabytes(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setClusteredPoints(Path) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
setCol(int) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setCol(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setComplemented(boolean) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
setComputeU(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  The setting controlling whether to compute U matrix of low rank SSVD.
setComputeV(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  Setting controlling whether to compute V matrix of low-rank SSVD.
setConditional(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setConf(Configuration) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
setConf(Configuration) - Method in class org.apache.mahout.common.AbstractJob
  Overrides the base implementation to install the Oozie action configuration resource into the provided Configuration object; note that ToolRunner calls setConf on the Tool before it invokes run.
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
setConf(Configuration) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setConverged(boolean) - Method in class org.apache.mahout.clustering.kmeans.Kluster
setCostFunction(String) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the cost function for the model.
setCovarianceMatrix(Matrix) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
  Computes the inverse covariance from the input covariance matrix given in input.
setcUHalfSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setcUSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setcVHalfSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setcVSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setDictionary(Map<String, Double>) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
  Sets the weighting dictionary to be used by this encoder.
setDistanceCutoff(double) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
setEigensToVerify(VectorIterable) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
setEncoderClass(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setEncoderName(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setEp(EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setExponent(double) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
setFirst(int) - Method in class org.apache.mahout.common.IntPairWritable
setFreezeSurvivors(boolean) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
setGradient(Gradient) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setId(int) - Method in class org.apache.mahout.clustering.AbstractCluster
setId(int) - Method in class org.apache.mahout.ep.State
setIdName(String) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
setIgSplit(IgSplit) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
setIndex(int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
setInstances(double[][]) - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer
setInterval(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  How often should the evolutionary optimization of learning parameters occur?
setInterval(int, int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  Starts optimization using the shorter interval and progresses to the longer using the specified number of steps per decade.
setInverseCovarianceMatrix(Matrix) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
setItemID(long) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
  Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
  Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
setItemID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets item ID for preference at i.
setIterationNumber(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
setKey(int) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
setLabel(String) - Method in class org.apache.mahout.classifier.ClassifierResult
setLabels(int[]) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
setLearningRate(double) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the degree of aggression during model training, a large learning rate can increase the training speed, but it also decreases the chance of model converge.
setLogLikelihood(double) - Method in class org.apache.mahout.classifier.ClassifierResult
setLogLikelihood(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setLogNormalize(boolean) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setM(int) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
setM(int) - Method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder
setM(double) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
setMap(int, Mapping) - Method in class org.apache.mahout.ep.State
  Defines the transformation for a parameter.
setMappings(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
setMaps(Mapping[]) - Method in class org.apache.mahout.ep.State
setMaps(Iterable<Mapping>) - Method in class org.apache.mahout.ep.State
setMatrix(Matrix) - Method in class org.apache.mahout.classifier.ConfusionMatrix
setMaxBufferSize(int) - Method in class org.apache.mahout.classifier.evaluation.Auc
setMaxNGramSize(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setMaxPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated.
setMaxPreference(float) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
setMaxPreference(float) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
setMeanVector(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
setMeasure(DistanceMeasure) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
setMinLLRValue(float) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setMinPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated.
setMinPreference(float) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
setMinPreference(float) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
setMinSplitNum(int) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
setMinSplitSize(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  Sometimes, if requested A blocks become larger than a split, we may need to use that to ensure at least k+p rows of A get into a split.
setMinSupport(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setMinVarianceProportion(double) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder
setMissingValueWeight(double) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
  Sets the weight that is to be used for values that do not appear in the dictionary.
setModelPath(String) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the model path.
setMomentumWeight(double) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the momentum weight for the model.
setNamedVectors(boolean) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setNbTrees(Configuration, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Set the number of trees to grow for the map-reduce job
setNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setNormPower(float) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setNumFeatures(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setNumObservations(long) - Method in class org.apache.mahout.clustering.AbstractCluster
setNumReducers(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setOmni(double) - Method in class org.apache.mahout.ep.State
setOuterBlockHeight(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  The height of outer blocks during Q'A multiplication.
setOutputDirName(String) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder
  Sets the Output directory name, will be creating in the working directory
setOutputTempPathString(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
setOverwrite(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  if true, driver to clean output folder first if exists.
setParameters(double[]) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setParent(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setPayload(T) - Method in class org.apache.mahout.ep.State
setPcaMeanPath(Path) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in interface org.apache.mahout.math.stats.OnlineAuc
setPoolSize(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Note that this method only updates the in-memory preference data that this `FileDataModel` maintains; it does not modify any data on disk.
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
  Default implementation which just calls `DataModel.setPreference(long, long, float)`.
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Sets a particular preference (item plus rating) for a user.
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity
  Attaches a `PreferenceInferrer` to the `UserSimilarity` implementation.
setPrior(PriorFunction) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setPrior(PriorFunction) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setProbabilityScore(boolean) - Method in class org.apache.mahout.classifier.evaluation.Auc
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
  Sets the number of locations in the feature vector that a value should be in.
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Sets the number of locations in the feature vector that a value should be in.
setProperties(Map<Text, Text>) - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
setQ(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  sets q, amount of additional power iterations to increase precision (0..2!).
setRadius(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setRaiseHashLimitStrategy(double) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
setRecord(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setRecord(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setRegularizationWeight(double) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the regularization weight.
setRow(int) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setRow(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setS0(double) - Method in class org.apache.mahout.clustering.AbstractCluster
setS1(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setS2(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setS3SafeCombinedInputPath(Job, Path, Path, Path) - Static method in class org.apache.mahout.common.AbstractJob
  necessary to make this job (having a combined input path) work on Amazon S3, hopefully this is obsolete when MultipleInputs is available again
setScore(double) - Method in class org.apache.mahout.classifier.ClassifierResult
setSearchSize(int) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
setSecond(int) - Method in class org.apache.mahout.common.IntPairWritable
setSeed(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setSequentialAccess(boolean) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setSerializations(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
setSinglePath(boolean) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setStep(double[]) - Method in class org.apache.mahout.ep.State
setStringValue(String) - Method in class org.apache.mahout.common.parameters.ClassParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.DoubleParameter
setStringValue(String) - Method in interface org.apache.mahout.common.parameters.Parameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.PathParameter
setSum(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
setSumOfSquares(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
setTaskItemOrdinal(long) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
setTempPrefs(PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
  Sets temporary preferences for a given anonymous user.
setTempPrefs(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
setTfDirName(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setThreadCount(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setThreadCount(int) - Method in class org.apache.mahout.ep.EvolutionaryProcess
setTotalCount(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
setTotalObservations(long) - Method in class org.apache.mahout.clustering.AbstractCluster
setTraceDictionary(Map<String, Set<Integer>>) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
setTrainingMethod(NeuralNetwork.TrainingMethod) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the training method.
setType(String) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setup(Mapper<LongWritable, Text, DoubleWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper
setup(Mapper<IntWritable, VectorWritable, LongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper
setup(Mapper.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper
setup(Reducer<VarLongWritable, PrefAndSimilarityColumnWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
setup(Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
setup(Reducer<VarLongWritable, VarLongWritable, VarLongWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
setup(Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
setup(Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper
setup(Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
setup(Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper
setup(Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper
setup(Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper
setup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
setup(Mapper<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper
setup(Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
setup(Reducer<Text, VectorWritable, Text, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper
setup(Reducer<IntWritable, ClusterWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIReducer
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
setup(Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
setup(Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
setup(Reducer<IntWritable, CentroidWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
setup(Mapper<IntWritable, WeightedVectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer
setup(Reducer<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
setup(Mapper<LongWritable, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
setup(Mapper<LongWritable, Text, IntWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
setup(Reducer<IntWritable, TransactionTree, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
setup(Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper
setup(Reducer<NullWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeToTopKSimilaritiesReducer
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeVectorsReducer
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SimilarityReducer
setup(Mapper.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
setup(Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper
setup(Mapper<WritableComparable<?>, VectorWritable, StringTuple, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper
setup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
setup(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
setup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
setup(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
setup(Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
setup(Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
setup(Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
setup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
setup() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
setup(Mapper<Writable, VectorWritable, Writable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper
setup(Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer
setup(Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
setup(Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
setup(Reducer<Gram, Gram, Text, DoubleWritable>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
setup(Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
setup(Mapper<Text, Text, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.EncodingMapper
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.PrunedPartialVectorMergeReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.WordsPrunerReducer
setup(Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountReducer
setup(Reducer<Text, StringTuple, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
setupBlock(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context, SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
setupBlock(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context, SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
  Sets user ID for preference at i.
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
  Sets user ID for preference at i.
setUserID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets user ID for preference at i.
setVal(double) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
setValue(float) - Method in interface org.apache.mahout.cf.taste.model.Preference
  Sets the strength of the preference for this item
setValue(int, float) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets preference value for preference at i.
setValue(ClusteringPolicy) - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
setValue(Cluster) - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
setValue(double) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
setValue(double) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setValue(double) - Method in class org.apache.mahout.ep.State
setVector(Vector) - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
setVector(Vector) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
setVerbose(boolean) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
setWeightMatrices(Matrix[]) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the weight matrices.
setWeightMatrix(int, Matrix) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Set the weight matrix for a specified layer.
setWeights(Vector) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
setWindowSize(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setWindowSize(int) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
setWindowSize(int) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
setWindowSize(int) - Method in interface org.apache.mahout.math.stats.OnlineAuc
setWordEncoder(FeatureVectorEncoder) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
setWritesLaxPrecision(boolean) - Method in class org.apache.mahout.math.VectorWritable
SharingMapper<K1,V1,K2,V2,S> - Class in org.apache.mahout.cf.taste.hadoop.als
  Mapper class to be used by `MultithreadedSharingMapper`.
SharingMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.SharingMapper
shouldRunNextPhase(Map<String, List<String>>, AtomicInteger) - Static method in class org.apache.mahout.common.AbstractJob
shuffle() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
shufflePreferences() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
SimilarItem - Class in org.apache.mahout.cf.taste.similarity.precompute
  Modeling similarity towards another item
SimilarItem(long, double) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
SimilarItems - Class in org.apache.mahout.cf.taste.similarity.precompute
  Compact representation of all similar items for an item
SimilarItems(long, List<RecommendedItem>) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
SimilarItemsWriter - Interface in org.apache.mahout.cf.taste.similarity.precompute
  Used to persist the results of a batch item similarity computation conducted with a `BatchItemSimilarities` implementation
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CityBlockSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.LoglikelihoodSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity
similarity(double, double, double, int) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
SimilarityMatrixRowWrapperMapper - Class in org.apache.mahout.cf.taste.hadoop.item
  maps a row of the similarity matrix to a `VectorOrPrefWritable` actually a column from that matrix has to be used but as the similarity matrix is symmetric, we can use a row instead of having to transpose it
SimilarityMatrixRowWrapperMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper
SimilarUser - Class in org.apache.mahout.cf.taste.impl.recommender
  Simply encapsulates a user and a similarity value.
SimilarUser(long, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
SimpleTextEncodingVectorizer - Class in org.apache.mahout.vectorizer
  Runs a Map/Reduce job that encodes `FeatureVectorEncoder` the input and writes it to the output as a sequence file.
SimpleTextEncodingVectorizer() - Constructor for class org.apache.mahout.vectorizer.SimpleTextEncodingVectorizer
singlePath() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
SINGULAR_PREFIX - Static variable in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
size() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
size() - Method in class org.apache.mahout.classifier.df.data.Data
size() - Method in class org.apache.mahout.math.neighborhood.BruteSearch
size() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
  Returns the number of WeightedVectors being searched for nearest neighbors.
size() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
size() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
  Returns the number of scalarProjections that we can search
size() - Method in class org.apache.mahout.math.neighborhood.Searcher
  Returns the number of WeightedVectors being searched for nearest neighbors.
size() - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
skip(int) - Method in interface org.apache.mahout.cf.taste.impl.common.SkippingIterator
  Skip the next n elements supplied by this `Iterator`.
skip(int) - Method in class org.apache.mahout.common.iterator.FileLineIterator
SkippingIterator<V> - Interface in org.apache.mahout.cf.taste.impl.common
  Adds ability to skip ahead in an iterator, perhaps more efficiently than by calling `Iterator.next()` repeatedly.
SoftCluster - Class in org.apache.mahout.clustering.fuzzykmeans
SoftCluster() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
SoftCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
  Construct a new SoftCluster with the given point as its center
softLimit(double, double, double) - Static method in class org.apache.mahout.ep.Mapping
  Maps input to the open interval (min, max) with 0 going to the mean of min and max.
softLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping
  Maps input to the open interval (min, max) with 0 going to the mean of min and max.
solve(Matrix) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
SolveExplicitFeedbackMapper - Class in org.apache.mahout.cf.taste.hadoop.als
  Solving mapper that can be safely executed using multiple threads
SolveExplicitFeedbackMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper
SolveImplicitFeedbackMapper - Class in org.apache.mahout.cf.taste.hadoop.als
  Solving mapper that can be safely executed using multiple threads
SolveImplicitFeedbackMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.SolveImplicitFeedbackMapper
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByItem() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by item ID, ascending.
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByUser() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by user ID, ascending.
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByValue() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by preference value, ascending.
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByValueReversed() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by preference value, descending.
sortSplits(InputSplit[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder
  sort the splits into order based on size, so that the biggest go first.
  This is the same code used by Hadoop's JobClient.
sparseItemRatingVector(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
SparseRowBlockAccumulator - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Aggregate incoming rows into blocks based on the row number (long).
SparseRowBlockAccumulator(int, OutputCollector<LongWritable, SparseRowBlockWritable>) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator
SparseRowBlockWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd
  block that supports accumulating rows and their sums , suitable for combiner and reducers of multiplication jobs.
SparseRowBlockWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
SparseRowBlockWritable(int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
sparseUserRatingVector(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
SparseVectorsFromSequenceFiles - Class in org.apache.mahout.vectorizer
  Converts a given set of sequence files into SparseVectors
SparseVectorsFromSequenceFiles() - Constructor for class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
sparsity(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Chainable configuration option.
sparsityLearningRate(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Chainable configuration option.
SpearmanCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Like `PearsonCorrelationSimilarity`, but compares relative ranking of preference values instead of preference values themselves.
SpearmanCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
SpectralKMeansDriver - Class in org.apache.mahout.clustering.spectral.kmeans
  Performs spectral k-means clustering on the top k eigenvectors of the input affinity matrix.
SpectralKMeansDriver() - Constructor for class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
Split - Class in org.apache.mahout.classifier.df.split
  Contains enough information to identify each split
Split(int, double, double) - Constructor for class org.apache.mahout.classifier.df.split.Split
Split(int, double) - Constructor for class org.apache.mahout.classifier.df.split.Split
SPLIT_PATTERN - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
SplitPartitionedWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd
  a key for vectors allowing to identify them by their coordinates in original split of A.
SplitPartitionedWritable(Mapper<?, ?, ?, ?>.Context) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
SplitPartitionedWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
SplitPartitionedWritable.SplitGroupingComparator - Class in org.apache.mahout.math.hadoop.stochasticsvd
SplitPartitionedWritable.SplitGroupingComparator() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable.SplitGroupingComparator
splitPrefTokens(CharSequence) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Splits a preference data line into string tokens
splitSinglePrefix() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
  Return a pair of trees that result from separating a common prefix (if one exists) from the lower portion of this tree.
SPLITTER - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
splitTrainTest(List<? extends WeightedVector>) - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans
sq - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
SquaredEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
  Like `EuclideanDistanceMeasure` but it does not take the square root.
SquaredEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
squashingFunctionList - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
SSVDCli - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Mahout CLI adapter for SSVDSolver
SSVDCli() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli
SSVDHelper - Class in org.apache.mahout.math.hadoop.stochasticsvd
  set of small file manipulation helpers.
SSVDSolver - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Stochastic SVD solver (API class).
SSVDSolver(Configuration, Path[], Path, int, int, int, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
  create new SSVD solver.
StableFixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator
  Sample a fixed number of elements from an Iterator.
StableFixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator
stage() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
StandardDeviationCalculatorMapper - Class in org.apache.mahout.math.hadoop.stats
StandardDeviationCalculatorMapper() - Constructor for class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
StandardDeviationCalculatorReducer - Class in org.apache.mahout.math.hadoop.stats
StandardDeviationCalculatorReducer() - Constructor for class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorReducer
StandardNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
  Class implementing the Naive Bayes Classifier Algorithm
StandardNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
StandardThetaTrainer - Class in org.apache.mahout.classifier.naivebayes.training
StandardThetaTrainer(Vector, Vector, double) - Constructor for class org.apache.mahout.classifier.naivebayes.training.StandardThetaTrainer
start() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
startAggregating(Parameters, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Run the aggregation Job to aggregate the different TopK patterns and group each Pattern by the features present in it and thus calculate the final Top K frequent Patterns for each feature
startMemoryLogger(long) - Static method in class org.apache.mahout.common.MemoryUtil
  Constructs and starts a memory logger thread.
startMemoryLogger() - Static method in class org.apache.mahout.common.MemoryUtil
  Constructs and starts a memory logger thread with a logging rate of 1000 milliseconds.
startParallelCounting(Parameters, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Count the frequencies of various features in parallel using Map/Reduce
startParallelFPGrowth(Parameters, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
startTime - Variable in class org.apache.mahout.common.TimingStatistics.Call
State<T extends Payload<U>,U> - Class in org.apache.mahout.ep
  Records evolutionary state and provides a mutation operation for recorded-step meta-mutation.
State() - Constructor for class org.apache.mahout.ep.State
State(double[], double) - Constructor for class org.apache.mahout.ep.State
  Invent a new state with no momentum (yet).
StaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes a categorical values with an unbounded vocabulary.
StaticWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
StatusUpdater - Interface in org.apache.mahout.fpm.pfpgrowth.convertors
  An interface of a Status updater
STD_CALC_DIR - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner
stdDev(Path, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats
  Calculate the standard deviation
stdDevForGivenMean(Path, Path, double, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats
  Calculate the standard deviation given a predefined mean
step - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
Step1Mapper - Class in org.apache.mahout.classifier.df.mapreduce.partial
  First step of the Partial Data Builder.
Step1Mapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
stepOffset(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
stepOffset(int) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
stepSize(int, double) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
stop() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
stop() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
stopMemoryLogger() - Static method in class org.apache.mahout.common.MemoryUtil
  Stops the memory logger, if any, started via `MemoryUtil.startMemoryLogger(long)` or `MemoryUtil.startMemoryLogger()`.
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
storeMapping(long, String) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator
  Stores the reverse long-to-String mapping in some kind of backing store.
storeString(Configuration, Path, String) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Write a string to a path.
storeWritable(Configuration, Path, Writable) - Static method in class org.apache.mahout.classifier.df.DFUtils
StreamingKMeans - Class in org.apache.mahout.clustering.streaming.cluster
  Implements a streaming k-means algorithm for weighted vectors.
StreamingKMeans(UpdatableSearcher, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
  Calls StreamingKMeans(searcher, numClusters, 1.3, 10, 2).
StreamingKMeans(UpdatableSearcher, int, double) - Constructor for class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
  Calls StreamingKMeans(searcher, numClusters, distanceCutoff, 1.3, 10, 2).
StreamingKMeans(UpdatableSearcher, int, double, double, double, double) - Constructor for class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
  Creates a new StreamingKMeans class given a searcher and the number of clusters to generate.
StreamingKMeansDriver - Class in org.apache.mahout.clustering.streaming.mapreduce
  Classifies the vectors into different clusters found by the clustering algorithm.
StreamingKMeansMapper - Class in org.apache.mahout.clustering.streaming.mapreduce
StreamingKMeansMapper() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
StreamingKMeansReducer - Class in org.apache.mahout.clustering.streaming.mapreduce
StreamingKMeansReducer() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
StreamingKMeansThread - Class in org.apache.mahout.clustering.streaming.mapreduce
StreamingKMeansThread(Path, Configuration) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread
StreamingKMeansThread(Iterable<Centroid>, Configuration) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread
StreamingKMeansUtilsMR - Class in org.apache.mahout.clustering.streaming.mapreduce
stringAt(int) - Method in class org.apache.mahout.common.StringTuple
  Fetches the string at the given location
StringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
  Collects a string pattern in a MaxHeap and outputs the top K patterns
StringOutputConverter(OutputCollector<Text, TopKStringPatterns>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
StringRecordIterator - Class in org.apache.mahout.common.iterator
StringRecordIterator(Iterable<String>, String) - Constructor for class org.apache.mahout.common.iterator.StringRecordIterator
StringTuple - Class in org.apache.mahout.common
  An Ordered List of Strings which can be used in a Hadoop Map/Reduce Job
StringTuple() - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(String) - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(Iterable<String>) - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(String[]) - Constructor for class org.apache.mahout.common.StringTuple
StringUtils - Class in org.apache.mahout.common
  Offers two methods to convert an object to a string representation and restore the object given its string representation.
SUBGRAM_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
subset(Condition) - Method in class org.apache.mahout.classifier.df.data.Data
sum(int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils
  Computes the sum of the values
sum(Iterator<VectorWritable>) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
SUM - Static variable in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
SUM_OF_SQUARES - Static variable in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
summarizeClusterDistances(Iterable<? extends Vector>, Iterable<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Computes the summaries for the distances in each cluster.
summary(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector
  Returns the n most important features with their weights, most important category and the top few categories that they affect.
SUMMED_OBSERVATIONS - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
support() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
SVDPlusPlusFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  SVD++, an enhancement of classical matrix factorization for rating prediction.
SVDPlusPlusFactorizer(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
SVDPlusPlusFactorizer(DataModel, int, double, double, double, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
SVDRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  A `Recommender` that uses matrix factorization (a projection of users and items onto a feature space)
SVDRecommender(DataModel, Factorizer) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
SVDRecommender(DataModel, Factorizer, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
SVDRecommender(DataModel, Factorizer, PersistenceStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
  Create an SVDRecommender using a persistent store to cache factorizations.
SVDRecommender(DataModel, Factorizer, CandidateItemsStrategy, PersistenceStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
  Create an SVDRecommender using a persistent store to cache factorizations.
swap() - Method in class org.apache.mahout.common.LongPair
swap() - Method in class org.apache.mahout.common.Pair

## T

T1_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys
T1_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t1Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of T1.
T2_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys
T2_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t2Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of T2.
T3_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys
T3_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t3Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of T3 (Reducer T1).
T4_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys
T4_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t4Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of T4 (Reducer T2).
takeAvailableUser() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
  Take the next available concurrent anonymous users from the pool.
TanimotoCoefficientSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of a "similarity" based on the Tanimoto coefficient, or extended Jaccard coefficient.
TanimotoCoefficientSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
TanimotoCoefficientSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
TanimotoCoefficientSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity
TanimotoDistanceMeasure - Class in org.apache.mahout.common.distance
  Tanimoto coefficient implementation.
TanimotoDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.TanimotoDistanceMeasure
TasteException - Exception in org.apache.mahout.cf.taste.common
  An exception thrown when an error occurs inside the Taste engine.
TasteException() - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(String) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(String, Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteHadoopUtils - Class in org.apache.mahout.cf.taste.hadoop
  Some helper methods for the hadoop-related stuff in org.apache.mahout.cf.taste
TEMP_USER_ID - Static variable in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
tempPath - Variable in class org.apache.mahout.common.AbstractJob
  temp path, populated by `AbstractJob.parseArguments(String[])`
TERM_TOPIC_SMOOTHING - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
TermCountCombiner - Class in org.apache.mahout.vectorizer.term
TermCountCombiner() - Constructor for class org.apache.mahout.vectorizer.term.TermCountCombiner
TermCountMapper - Class in org.apache.mahout.vectorizer.term
  TextVectorizer Term Count Mapper.
TermCountMapper() - Constructor for class org.apache.mahout.vectorizer.term.TermCountMapper
TermCountReducer - Class in org.apache.mahout.vectorizer.term
  This accumulates all the words and the weights and sums them up.
TermCountReducer() - Constructor for class org.apache.mahout.vectorizer.term.TermCountReducer
TermDocumentCountMapper - Class in org.apache.mahout.vectorizer.term
  TextVectorizer Document Frequency Count Mapper.
TermDocumentCountMapper() - Constructor for class org.apache.mahout.vectorizer.term.TermDocumentCountMapper
TermDocumentCountReducer - Class in org.apache.mahout.vectorizer.term
  Can also be used as a local Combiner.
TermDocumentCountReducer() - Constructor for class org.apache.mahout.vectorizer.term.TermDocumentCountReducer
TEST_PROBABILITY - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The percentage of points that go into the "test" set when evaluating BallKMeans runs in the reducer.
TEST_SET_FRACTION - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
TestNaiveBayesDriver - Class in org.apache.mahout.classifier.naivebayes.test
  Test the (Complementary) Naive Bayes model that was built during training by running the iterating the test set and comparing it to the model
TestNaiveBayesDriver() - Constructor for class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
TextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes text that is tokenized on non-alphanum separators.
TextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.TextValueEncoder
TF - Class in org.apache.mahout.vectorizer
  `Weight` based on term frequency only
TF() - Constructor for class org.apache.mahout.vectorizer.TF
TFIDF - Class in org.apache.mahout.vectorizer
TFIDF() - Constructor for class org.apache.mahout.vectorizer.TFIDF
TFIDFConverter - Class in org.apache.mahout.vectorizer.tfidf
  This class converts a set of input vectors with term frequencies to TfIdf vectors.
TFIDFPartialVectorReducer - Class in org.apache.mahout.vectorizer.tfidf
  Converts a document in to a sparse vector
TFIDFPartialVectorReducer() - Constructor for class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
TFPartialVectorReducer - Class in org.apache.mahout.vectorizer.term
  Converts a document in to a sparse vector
TFPartialVectorReducer() - Constructor for class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
ThetaMapper - Class in org.apache.mahout.classifier.naivebayes.training
ThetaMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
THETAS - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
THRESHOLD_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
thresholdOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specifying the clustering threshold value.
ThresholdUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
  Computes a neigbhorhood consisting of all users whose similarity to the given user meets or exceeds a certain threshold.
ThresholdUserNeighborhood(double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
ThresholdUserNeighborhood(double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
times(DistributedRowMatrix) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
  This implements matrix this.transpose().times(other)
times(DistributedRowMatrix, Path) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
  This implements matrix this.transpose().times(other)
times(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
timesSquared(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TimesSquaredJob - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesMapper - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
TimesSquaredJob.TimesSquaredMapper<T extends org.apache.hadoop.io.WritableComparable> - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesSquaredMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
TimesSquaredJob.VectorSummingReducer - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.VectorSummingReducer() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
TimingStatistics - Class in org.apache.mahout.common
TimingStatistics() - Constructor for class org.apache.mahout.common.TimingStatistics
  Creates a new instance of CallStats
TimingStatistics(int, long, long, long, double) - Constructor for class org.apache.mahout.common.TimingStatistics
TimingStatistics.Call - Class in org.apache.mahout.common
  A call object that can update performance metrics.
TimingStatistics.LeadTimeCall - Class in org.apache.mahout.common
  Ignores counting the performance metrics.
toArray() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
toArray(VectorWritable) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
toDataMap(DataModel) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Exports the simple user IDs and associated item IDs in the data model.
toDataMap(FastByIDMap<PreferenceArray>) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
toDataMap(FastByIDMap<Collection<Preference>>, boolean) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Swaps, in-place, `List`s for arrays in `Map` values .
toDataMap(DataModel) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Exports the simple user IDs and preferences in the data model.
ToEntityPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
ToItemPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
  Input
ToItemPrefsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.ToItemPrefsMapper
ToItemVectorsMapper - Class in org.apache.mahout.cf.taste.hadoop.preparation
ToItemVectorsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper
ToItemVectorsReducer - Class in org.apache.mahout.cf.taste.hadoop.preparation
ToItemVectorsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsReducer
toJSON() - Method in class org.apache.mahout.classifier.df.data.Dataset
  Serialize this instance to JSON
tokenize(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder
  Tokenizes a string using the simplest method.
tokenize(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Tokenizes a string using the simplest method.
TOKENIZED_DOCUMENT_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor
tokenizeDocuments(Path, Class<? extends Analyzer>, Path, Configuration) - Static method in class org.apache.mahout.vectorizer.DocumentProcessor
  Convert the input documents into token array using the `StringTuple` The input documents has to be in the `SequenceFile` format
TokenStreamIterator - Class in org.apache.mahout.common.lucene
  Provide an Iterator for the tokens in a TokenStream.
TokenStreamIterator(TokenStream) - Constructor for class org.apache.mahout.common.lucene.TokenStreamIterator
toLongID(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
toLongID(String) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
TOP_LEVEL_CLUSTER_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
TopElementsQueue - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
TopElementsQueue(int) - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
TopicModel - Class in org.apache.mahout.clustering.lda.cvb
  Thin wrapper around a `Matrix` of counts of occurrences of (topic, term) pairs.
TopicModel(int, int, double, double, String[], double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Configuration, double, double, String[], int, double, Path...) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(int, int, double, double, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(int, int, double, double, Random, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Matrix, Vector, double, double, String[], double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Matrix, double, double, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Matrix, Vector, double, double, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
topicSums() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
TopItems - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple class that refactors the "find top N things" logic that is used in several places.
TopItems.Estimator<T> - Interface in org.apache.mahout.cf.taste.impl.recommender
TopItemsQueue - Class in org.apache.mahout.cf.taste.hadoop
TopItemsQueue(int) - Constructor for class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
topKElements(int, Vector) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
TopKPatternsOutputConverter<A extends Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  An output converter which converts the output patterns and collects them in a `FrequentPatternMaxHeap`
TopKPatternsOutputConverter(OutputCollector<A, List<Pair<List<A>, Long>>>, Map<Integer, A>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
TopKStringPatterns - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
  A class which collects Top K string patterns
TopKStringPatterns() - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
TopKStringPatterns(Collection<Pair<List<String>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
TopSimilarItemsQueue - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
TopSimilarItemsQueue(int) - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
toRho(double, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
toString() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
toString() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
toString() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
toString() - Method in class org.apache.mahout.classifier.ClassifierResult
toString() - Method in class org.apache.mahout.classifier.ConfusionMatrix
  This is overloaded.
toString() - Method in class org.apache.mahout.classifier.df.data.Dataset
toString() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
toString() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
toString() - Method in class org.apache.mahout.classifier.df.node.Node
toString() - Method in class org.apache.mahout.classifier.df.split.Split
toString(DecisionForest, Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer
toString(String, String, String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer
  Decision Forest to String
toString(Node, Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer
  Decision tree to String
toString() - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer
toString() - Method in class org.apache.mahout.classifier.ResultAnalyzer
toString() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
toString() - Method in class org.apache.mahout.clustering.canopy.Canopy
toString() - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
toString() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
toString() - Method in class org.apache.mahout.clustering.kmeans.Kluster
toString() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
toString() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
toString() - Method in class org.apache.mahout.common.IntegerTuple
toString() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
toString() - Method in class org.apache.mahout.common.IntPairWritable
toString() - Method in class org.apache.mahout.common.LongPair
toString() - Method in class org.apache.mahout.common.Pair
toString() - Method in class org.apache.mahout.common.parameters.AbstractParameter
toString() - Method in class org.apache.mahout.common.Parameters
toString() - Method in class org.apache.mahout.common.StringTuple
toString(Object) - Static method in class org.apache.mahout.common.StringUtils
  Converts the object to a one-line string representation
toString() - Method in class org.apache.mahout.common.TimingStatistics
toString() - Method in class org.apache.mahout.ep.State
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
toString() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
toString() - Method in class org.apache.mahout.math.neighborhood.HashedVector
toString() - Method in class org.apache.mahout.math.VarIntWritable
toString() - Method in class org.apache.mahout.math.VarLongWritable
toString() - Method in class org.apache.mahout.math.VectorWritable
toString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
toString() - Method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
toString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
toStringID(long) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
TOTAL_COUNT - Static variable in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
totalClusterCost(Iterable<? extends Vector>, Iterable<? extends Vector>) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Adds up the distances from each point to its closest cluster and returns the sum.
totalClusterCost(Iterable<? extends Vector>, Searcher) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Adds up the distances from each point to its closest cluster and returns the sum.
totalWeight(Iterable<? extends Vector>) - Static method in class org.apache.mahout.clustering.ClusteringUtils
  Computes the total weight of the points in the given Vector iterable.
totalWeightSum() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
totalWeightSum() - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
ToUserVectorsReducer - Class in org.apache.mahout.cf.taste.hadoop.item
  Input
ToUserVectorsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
ToUserVectorsReducer.Counters - Enum in org.apache.mahout.cf.taste.hadoop.item
ToVectorAndPrefReducer - Class in org.apache.mahout.cf.taste.hadoop.item
ToVectorAndPrefReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToVectorAndPrefReducer
TPrior - Class in org.apache.mahout.classifier.sgd
  Provides a t-distribution as a prior.
TPrior(double) - Constructor for class org.apache.mahout.classifier.sgd.TPrior
trace(String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
trace(byte[], int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
train(int, Vector) - Method in class org.apache.mahout.classifier.mlp.MultilayerPerceptron
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.mlp.MultilayerPerceptron
train(long, int, Vector) - Method in class org.apache.mahout.classifier.mlp.MultilayerPerceptron
train(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
train(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
train(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.training.StandardThetaTrainer
train(int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner
  Updates the model using a particular target variable value and a feature vector.
train(long, String, int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner
  Updates the model using a particular target variable value and a feature vector.
train(long, int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner
  Updates the model using a particular target variable value and a feature vector.
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(AdaptiveLogisticRegression.TrainingExample) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
train(int, Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
train(int, Vector, double) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
  Train the models given an additional weight.
train(long, String, int, Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
train(long, int, Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
train(VectorIterable, VectorIterable) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
train(VectorIterable, VectorIterable, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
train(Vector, Vector, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
trainBaumWelch(HmmModel, int[], double, int, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Iteratively train the parameters of the given initial model wrt the observed sequence using Baum-Welch training.
trainByInstance(Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Get the updated weights using one training instance.
trainDocTopicModel(Vector, Vector, Matrix) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
trainDocuments() - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
trainDocuments(double) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
trainingMethod - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
TrainNaiveBayesJob - Class in org.apache.mahout.classifier.naivebayes.training
  This class trains a Naive Bayes Classifier (Parameters for both Naive Bayes and Complementary Naive Bayes)
TrainNaiveBayesJob() - Constructor for class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
trainOnline(Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Train the neural network incrementally with given training instance.
trainSupervised(int, int, int[], int[], double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Create an supervised initial estimate of an HMM Model based on a sequence of observed and hidden states.
trainSupervisedSequence(int, int, Collection<int[]>, Collection<int[]>, double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Create an supervised initial estimate of an HMM Model based on a number of sequences of observed and hidden states.
trainSync(Vector, Vector, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
trainViterbi(HmmModel, int[], double, double, int, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Iteratively train the parameters of the given initial model wrt to the observed sequence using Viterbi training.
TransactionIterator<T> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  Iterates over a Transaction and outputs the transaction integer id mapping and the support of the transaction
TransactionIterator(Iterator<Pair<List<T>, Long>>, Map<T, Integer>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
TransactionTree - Class in org.apache.mahout.fpm.pfpgrowth
  A compact representation of transactions modeled on the lines to `FPTree` This reduces plenty of space and speeds up Map/Reduce of `PFPGrowth` algorithm by reducing data size passed from the Mapper to the reducer where `FPGrowth` mining is done
TransactionTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree(IntArrayList, Long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree(List<Pair<IntArrayList, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
transpose() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TRANSPOSE_USER_ITEM - Static variable in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
TransposeJob - Class in org.apache.mahout.math.hadoop
  Transpose a matrix
TransposeJob() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob
TransposeJob.MergeVectorsCombiner - Class in org.apache.mahout.math.hadoop
TransposeJob.MergeVectorsCombiner() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.MergeVectorsCombiner
TransposeJob.MergeVectorsReducer - Class in org.apache.mahout.math.hadoop
TransposeJob.MergeVectorsReducer() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.MergeVectorsReducer
TransposeJob.TransposeMapper - Class in org.apache.mahout.math.hadoop
TransposeJob.TransposeMapper() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
TransposeMapper - Class in org.apache.mahout.common.mapreduce
TransposeMapper() - Constructor for class org.apache.mahout.common.mapreduce.TransposeMapper
TreeBuilder - Interface in org.apache.mahout.classifier.df.builder
  Abstract base class for TreeBuilders
TreeID - Class in org.apache.mahout.classifier.df.mapreduce.partial
  Indicates both the tree and the data partition used to grow the tree
TreeID() - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
TreeID(int, int) - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
treeId() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID
TreeVisualizer - Class in org.apache.mahout.classifier.df.tools
  This tool is to visualize the Decision tree
TriangularKernelProfile - Class in org.apache.mahout.clustering.kernel
TriangularKernelProfile() - Constructor for class org.apache.mahout.clustering.kernel.TriangularKernelProfile
trim() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
TRIM_FRACTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
  The "ball" aspect of ball k-means means that only the closest points to the centroid will actually be used for updating.
truncateModel(HmmModel, double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Method to reduce the size of an HMMmodel by converting the models DenseMatrix/DenseVectors to sparse implementations and setting every value < threshold to 0
type() - Method in class org.apache.mahout.common.parameters.AbstractParameter
type() - Method in interface org.apache.mahout.common.parameters.Parameter

## U

UDistrib - Class in org.apache.mahout.classifier.df.tools
  This tool is used to uniformly distribute the class of all the tuples of the dataset over a given number of partitions.
  This class can be used when the criterion variable is the categorical attribute.
UJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Computes U=Q*Uhat of SSVD (optionally adding x pow(Sigma, 0.5) )
UJob() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.UJob
UJob.UMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
UJob.UMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper
UncenteredCosineSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of the cosine similarity.
UncenteredCosineSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.UncenteredCosineSimilarity
UncenteredCosineSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.UncenteredCosineSimilarity
UncommonDistributions - Class in org.apache.mahout.clustering
UniformPrior - Class in org.apache.mahout.classifier.sgd
  A uniform prior.
UniformPrior() - Constructor for class org.apache.mahout.classifier.sgd.UniformPrior
UnitVectorizerJob - Class in org.apache.mahout.clustering.spectral
  Given a DistributedRowMatrix, this job normalizes each row to unit vector length.
UnitVectorizerJob.UnitVectorizerMapper - Class in org.apache.mahout.clustering.spectral
UnitVectorizerJob.UnitVectorizerMapper() - Constructor for class org.apache.mahout.clustering.spectral.UnitVectorizerJob.UnitVectorizerMapper
unseal() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
UpdatableIDMigrator - Interface in org.apache.mahout.cf.taste.model
UpdatableSearcher - Class in org.apache.mahout.math.neighborhood
  Describes how we search vectors.
UpdatableSearcher(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.UpdatableSearcher
update(Preference, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
  TODO: this is the vanilla sgd by Tacaks 2009, I speculate that using scaling technique proposed in: Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent section 5, page 6 can be beneficial in term s of both speed and accuracy.
update(double[]) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
update(Vector, Map<String, Set<Integer>>, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.ModelDissector
  Probes a model to determine the effect of a particular variable.
update(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
update(ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy
  Update the policy with the given classifier
update(Matrix) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
update(int, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
update(double[]) - Method in interface org.apache.mahout.ep.Payload
update(String) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
update(String) - Method in interface org.apache.mahout.fpm.pfpgrowth.convertors.StatusUpdater
updateCentroids(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Iterate through the canopies, resetting their center to their centroids
updateCounts - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
updateHdfsState() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
updateParameters(long, long, float, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
updateParameters(long, long, float, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
updatePerLabelThetaNormalizer(int, double) - Method in class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
updateRanking(Vector, Collection<Integer>, int, Random) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
  Updates using ranking loss.
updateSteps - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
updateTopic(int, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
updateWeightMatrices(Matrix[]) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Update the weight matrices with given matrices.
USE_FPG2 - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
USE_NAMED_VECTORS - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
USE_SEQUENTIAL - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
USER_BIAS_INDEX - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  place in user vector where the bias is stored
USER_ID_POS - Static variable in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
USER_VECTORS - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
UserBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender
  Interface implemented by "user-based" recommenders.
userFeaturesMapping(LongPrimitiveIterator, int, double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
userIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
userIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
UserNeighborhood - Interface in org.apache.mahout.cf.taste.neighborhood
  Implementations of this interface compute a "neighborhood" of users like a given user.
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
UserSimilarity - Interface in org.apache.mahout.cf.taste.similarity
  Implementations of this interface define a notion of similarity between two users.
userSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity
  Returns the degree of similarity, of two users, based on the their preferences.
userVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
  user features
userVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
  User features
UserVectorSplitterMapper - Class in org.apache.mahout.cf.taste.hadoop.item
UserVectorSplitterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
usesFirstLineAsSchema() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
usesFirstLineAsSchema() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
useT3T4() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Used by CanopyReducer to set t1=t3 and t2=t4 configuration values

## V

validate() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
validate(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Validates an HMM model set
validModel() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
validModel() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
value() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.common.Weighting
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer.Counters
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute
  Returns the enum constant of this type with the specified name.
valueOf(int, String) - Method in class org.apache.mahout.classifier.df.data.Dataset
  Converts a token to its corresponding integer code for a given attribute
valueOf(String) - Static method in enum org.apache.mahout.classifier.df.node.Node.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.classifier.mlp.NeuralNetwork.TrainingMethod
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper.Counter
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper.Counters
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.common.iterator.sequencefile.PathType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocMapper.Count
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocReducer.Skipped
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.LLRReducer.Skipped
  Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.mahout.cf.taste.common.Weighting
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer.Counters
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
values() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
values(int) - Method in class org.apache.mahout.classifier.df.data.Data
  finds all distinct values of a given attribute
values() - Static method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.classifier.df.node.Node.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.classifier.mlp.NeuralNetwork.TrainingMethod
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper.Counter
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper.Counters
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.common.iterator.sequencefile.PathType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocMapper.Count
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocReducer.Skipped
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.LLRReducer.Skipped
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
variance(Path, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats
  Calculate the variance of values stored as
varianceForGivenMean(Path, Path, double, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats
  Calculate the variance by a predefined mean of values stored as
VarianceTotals - Class in org.apache.mahout.math.hadoop.stats
  Holds the total values needed to compute mean and standard deviation Provides methods for their computation
VarianceTotals() - Constructor for class org.apache.mahout.math.hadoop.stats.VarianceTotals
Varint - Class in org.apache.mahout.math
  Encodes signed and unsigned values using a common variable-length scheme, found for example in Google's Protocol Buffers.
VarIntWritable - Class in org.apache.mahout.math
VarIntWritable() - Constructor for class org.apache.mahout.math.VarIntWritable
VarIntWritable(int) - Constructor for class org.apache.mahout.math.VarIntWritable
VarLongWritable - Class in org.apache.mahout.math
VarLongWritable() - Constructor for class org.apache.mahout.math.VarLongWritable
VarLongWritable(long) - Constructor for class org.apache.mahout.math.VarLongWritable
VECTOR_CLASS - Static variable in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob
VECTOR_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
VectorAndPrefsWritable - Class in org.apache.mahout.cf.taste.hadoop.item
VectorAndPrefsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
VectorAndPrefsWritable(Vector, List<Long>, List<Float>) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
VectorCache - Class in org.apache.mahout.clustering.spectral
  This class handles reading and writing vectors to the Hadoop distributed cache.
VectorDistanceInvertedMapper - Class in org.apache.mahout.math.hadoop.similarity
  Similar to `VectorDistanceMapper`, except it outputs <input, Vector>, where the vector is a dense vector contain one entry for every seed vector
VectorDistanceInvertedMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper
VectorDistanceMapper - Class in org.apache.mahout.math.hadoop.similarity
VectorDistanceMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper
VectorDistanceSimilarityJob - Class in org.apache.mahout.math.hadoop.similarity
  This class does a Map-side join between seed vectors (the map side can also be a Cluster) and a list of other vectors and emits the a tuple of seed id, other id, distance.
VectorDistanceSimilarityJob() - Constructor for class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
Vectorizer - Interface in org.apache.mahout.vectorizer
VectorizerConfig - Class in org.apache.mahout.vectorizer
  The config for a Vectorizer.
VectorizerConfig(Configuration, String, String, String, boolean, boolean, int) - Constructor for class org.apache.mahout.vectorizer.VectorizerConfig
VectorMatrixMultiplicationJob - Class in org.apache.mahout.clustering.spectral
  This class handles the three-way multiplication of the digonal matrix and the Markov transition matrix inherent in the Eigencuts algorithm.
VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper - Class in org.apache.mahout.clustering.spectral
VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper() - Constructor for class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
VectorOrPrefWritable - Class in org.apache.mahout.cf.taste.hadoop.item
VectorOrPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorOrPrefWritable(Vector) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorOrPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
Vectors - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
VectorSimilarityMeasure - Interface in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
VectorSimilarityMeasures - Enum in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
VectorSumCombiner - Class in org.apache.mahout.common.mapreduce
VectorSumCombiner() - Constructor for class org.apache.mahout.common.mapreduce.VectorSumCombiner
VectorSumReducer - Class in org.apache.mahout.common.mapreduce
VectorSumReducer() - Constructor for class org.apache.mahout.common.mapreduce.VectorSumReducer
vectorToSortedString(Vector, String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.TopicModel
VectorWritable - Class in org.apache.mahout.math
VectorWritable() - Constructor for class org.apache.mahout.math.VectorWritable
VectorWritable(boolean) - Constructor for class org.apache.mahout.math.VectorWritable
VectorWritable(Vector) - Constructor for class org.apache.mahout.math.VectorWritable
VectorWritable(Vector, boolean) - Constructor for class org.apache.mahout.math.VectorWritable
Version - Class in org.apache.mahout
version() - Static method in class org.apache.mahout.Version
versionFromResource() - Static method in class org.apache.mahout.Version
VertexWritable - Class in org.apache.mahout.clustering.spectral
  Represents a vertex within the affinity graph for Eigencuts.
VertexWritable() - Constructor for class org.apache.mahout.clustering.spectral.VertexWritable
VertexWritable(int, int, double, String) - Constructor for class org.apache.mahout.clustering.spectral.VertexWritable
viterbiAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms
  Viterbi algorithm to compute the most likely hidden sequence for a given model and observed sequence
ViterbiEvaluator - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Command-line tool for Viterbi evaluating
VJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
VJob() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.VJob
VJob.VMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
VJob.VMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper

## W

waitForCompletion() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob
waitForCompletion() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
weight(int, int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
Weight - Interface in org.apache.mahout.vectorizer
WeightedDistanceMeasure - Class in org.apache.mahout.common.distance
  Abstract implementation of DistanceMeasure with support for weights.
WeightedDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedDistanceMeasure
WeightedEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate, optionally adding weights.
WeightedEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
WeightedManhattanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a "Manhattan distance" metric by summing the absolute values of the difference between each coordinate, optionally with weights.
WeightedManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
WeightedPropertyVectorWritable - Class in org.apache.mahout.clustering.classify
WeightedPropertyVectorWritable() - Constructor for class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
WeightedPropertyVectorWritable(Map<Text, Text>) - Constructor for class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
WeightedPropertyVectorWritable(double, Vector, Map<Text, Text>) - Constructor for class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
WeightedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
WeightedRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
WeightedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
  This subclass also provides for a weighted estimate of the sample standard deviation.
WeightedRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
WeightedVectorWritable - Class in org.apache.mahout.clustering.classify
WeightedVectorWritable() - Constructor for class org.apache.mahout.clustering.classify.WeightedVectorWritable
WeightedVectorWritable(double, Vector) - Constructor for class org.apache.mahout.clustering.classify.WeightedVectorWritable
Weighting - Enum in org.apache.mahout.cf.taste.common
  A simple enum which gives symbolic names to the ideas of "weighted" and "unweighted", to make various API calls which take a weighting parameter more readable.
weightMatrixList - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
WEIGHTS - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
WEIGHTS_PER_FEATURE - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
WEIGHTS_PER_LABEL - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
WeightsMapper - Class in org.apache.mahout.classifier.naivebayes.training
WeightsMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
WORD_LIKE_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
WORDCOUNT_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
WordsPrunerReducer - Class in org.apache.mahout.vectorizer.pruner
WordsPrunerReducer() - Constructor for class org.apache.mahout.vectorizer.pruner.WordsPrunerReducer
WordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes words as sparse vector updates to a Vector.
WordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.WordValueEncoder
WRITABLE_VERSION - Static variable in class org.apache.mahout.classifier.sgd.GradientMachine
WRITABLE_VERSION - Static variable in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
WRITABLE_VERSION - Static variable in class org.apache.mahout.classifier.sgd.PassiveAggressive
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
write(DataOutput) - Method in class org.apache.mahout.classifier.df.DecisionForest
write(DataOutput) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
write(DataOutput) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput
write(DataOutput) - Method in class org.apache.mahout.classifier.df.node.Node
write(DataOutput) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Write the fields of the model to output.
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.L1
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.L2
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
write(DataOutput, T) - Static method in class org.apache.mahout.classifier.sgd.PolymorphicWritable
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.TPrior
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
write(DataOutput) - Method in class org.apache.mahout.clustering.AbstractCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
write(DataOutput) - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.kmeans.Kluster
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
write(DataOutput) - Method in class org.apache.mahout.common.IntegerTuple
write(DataOutput) - Method in class org.apache.mahout.common.IntPairWritable
write(DataOutput) - Method in class org.apache.mahout.common.StringTuple
write(DataOutput) - Method in class org.apache.mahout.ep.EvolutionaryProcess
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.Exponential
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.Identity
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.LogLimit
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
write(DataOutput) - Method in class org.apache.mahout.ep.State
write(DataOutput) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
write(DataOutput) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
write(Path, Configuration, Iterable<MatrixSlice>) - Static method in class org.apache.mahout.math.DistributedRowMatrixWriter
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
write(Vector, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
write(Vector, Path, Configuration, boolean) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
write(Path, Configuration, VectorIterable) - Static method in class org.apache.mahout.math.MatrixUtils
write(DataOutput) - Method in class org.apache.mahout.math.MatrixWritable
write(DataOutput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
write(DataOutput, SequentialAccessSparseVector, int[]) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
write(DataOutput) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
write(DataOutput) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
write(DataOutput) - Method in class org.apache.mahout.math.VarIntWritable
write(DataOutput) - Method in class org.apache.mahout.math.VarLongWritable
write(DataOutput) - Method in class org.apache.mahout.math.VectorWritable
write(DataOutput) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
write(DataOutput) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
writeArray(DataOutput, Node[]) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Writes an Node[] into a DataOutput
writeArray(DataOutput, double[]) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Writes a double[] into a DataOutput
writeArray(DataOutput, int[]) - Static method in class org.apache.mahout.classifier.df.DFUtils
  Writes an int[] into a DataOutput
writeBinary(Factorization, DataOutput) - Static method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
writeBinary(String, CrossFoldLearner) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeBinary(String, OnlineLogisticRegression) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeBinary(String, AdaptiveLogisticRegression) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeCentroidsToSequenceFile(Iterable<Centroid>, Path, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR
  Writes centroids to a sequence file.
writeInt(int, Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
writeLabelBindings(DataOutput, Map<String, Integer>, Map<String, Integer>) - Static method in class org.apache.mahout.math.MatrixWritable
writeLabelIndex(Configuration, Iterable<String>, Path) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
  Write the list of labels into a map file
writeLabelIndex(Configuration, Path, Iterable<Pair<Text, IntWritable>>) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
writeMatrix(DataOutput, Matrix) - Static method in class org.apache.mahout.math.MatrixWritable
  Writes a typed Matrix instance to the output stream
writeModel(Path) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
writeModelToFile() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
  Write the model data to specified location.
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.Leaf
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.Node
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.NumericalNode
writePolicy(ClusteringPolicy, Path) - Static method in class org.apache.mahout.clustering.classify.ClusterClassifier
writeSignedVarInt(int, DataOutput) - Static method in class org.apache.mahout.math.Varint
writeSignedVarLong(long, DataOutput) - Static method in class org.apache.mahout.math.Varint
  Encodes a value using the variable-length encoding from Google Protocol Buffers.
writeToSeqFiles(Path) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
writeUnsignedVarInt(int, DataOutput) - Static method in class org.apache.mahout.math.Varint
writeUnsignedVarLong(long, DataOutput) - Static method in class org.apache.mahout.math.Varint
  Encodes a value using the variable-length encoding from Google Protocol Buffers.
writeVector(DataOutput, Vector) - Static method in class org.apache.mahout.math.VectorWritable
  Write the vector to the output
writeVector(DataOutput, Vector, boolean) - Static method in class org.apache.mahout.math.VectorWritable
writeVectorsToSequenceFile(Iterable<? extends Vector>, Path, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR

## X

xi - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper

## Y

yiRow - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
YtYJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
  Job that accumulates Y'Y output
YtYJob.YtYMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
YtYJob.YtYMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
YtYJob.YtYReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd
YtYJob.YtYReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer

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