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

## A

AdaptiveLogisticModelParameters - Class in org.apache.mahout.classifier.sgd
AdaptiveLogisticModelParameters() - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
AFFINITIES - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans

## B

BatchItemSimilaritiesGroupLens - Class in org.apache.mahout.cf.taste.similarity.precompute.example
  Example that precomputes all item similarities of the Movielens1M dataset Usage: download movielens1M from http://www.grouplens.org/node/73 , unzip it and invoke this code with the path to the ratings.dat file as argument
BookCrossingBooleanRecommender - Class in org.apache.mahout.cf.taste.example.bookcrossing
  A simple `Recommender` implemented for the Book Crossing demo.
BookCrossingBooleanRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
BookCrossingBooleanRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.bookcrossing
BookCrossingDataModel - Class in org.apache.mahout.cf.taste.example.bookcrossing
  See download for data needed by this class.
BookCrossingDataModel(boolean) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
BookCrossingDataModel(File, boolean) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
BookCrossingRecommender - Class in org.apache.mahout.cf.taste.example.bookcrossing
  A simple `Recommender` implemented for the Book Crossing demo.
BookCrossingRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
BookCrossingRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.bookcrossing
BreimanExample - Class in org.apache.mahout.classifier.df
  Test procedure as described in Breiman's paper.
  Leo Breiman: Random Forests.
BreimanExample() - Constructor for class org.apache.mahout.classifier.df.BreimanExample
BuildForest - Class in org.apache.mahout.classifier.df.mapreduce
  Tool to builds a Random Forest using any given dataset (in UCI format).
BuildForest() - Constructor for class org.apache.mahout.classifier.df.mapreduce.BuildForest

## C

checkParameters() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
cleanUpEmailAddress(CharSequence) - Static method in class org.apache.mahout.cf.taste.example.email.EmailUtility
  Strip off some spurious characters that make it harder to dedup
close() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
ClusterQualitySummarizer - Class in org.apache.mahout.clustering.streaming.tools
ClusterQualitySummarizer() - Constructor for class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer
CLUSTERS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
computeNext() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
convert(double, long, long) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.EstimateConverter
countWords(Analyzer, Collection<String>, Reader, Multiset<String>) - Static method in class org.apache.mahout.classifier.NewsgroupHelper
createAdaptiveLogisticRegression() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
createRegression() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Creates a logistic regression trainer using the parameters collected here.

## D

DataFileIterable - Class in org.apache.mahout.cf.taste.example.kddcup
DataFileIterable(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.DataFileIterable
DataFileIterator - Class in org.apache.mahout.cf.taste.example.kddcup
  An `Iterator` which iterates over any of the KDD Cup's rating files.
DataFileIterator(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
DataModelFactorizablePreferences - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
  can be used to drop `DataModel`s into `ParallelArraysSGDFactorizer`
DataModelFactorizablePreferences(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
DEFAULT_LEARNING_RATE - Static variable in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
DEFAULT_PREVENT_OVERFITTING - Static variable in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
DEFAULT_RANDOM_NOISE - Static variable in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
DeliciousTagsExample - Class in org.apache.mahout.fpm.pfpgrowth
DisplayCanopy - Class in org.apache.mahout.clustering.display
  Java desktop graphics class that runs canopy clustering and displays the results.
DisplayClustering - Class in org.apache.mahout.clustering.display
DisplayClustering() - Constructor for class org.apache.mahout.clustering.display.DisplayClustering
DisplayFuzzyKMeans - Class in org.apache.mahout.clustering.display
DisplayKMeans - Class in org.apache.mahout.clustering.display
DisplaySpectralKMeans - Class in org.apache.mahout.clustering.display
dissect(int, Dictionary, AdaptiveLogisticRegression, Iterable<File>, Multiset<String>) - Static method in class org.apache.mahout.classifier.sgd.SGDHelper
DS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering

## E

EmailUtility - Class in org.apache.mahout.cf.taste.example.email
EmailUtility.Counters - Enum in org.apache.mahout.cf.taste.example.email
encodeFeatureVector(File, int, int, Multiset<String>) - Method in class org.apache.mahout.classifier.NewsgroupHelper
EstimateConverter - Class in org.apache.mahout.cf.taste.example.kddcup.track1
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator

## F

FactorizablePreferences - Interface in org.apache.mahout.cf.taste.example.kddcup.track1.svd
  models the necessary input for `ParallelArraysSGDFactorizer`
factorize() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
FEATURES - Static variable in class org.apache.mahout.classifier.NewsgroupHelper
FROM_INDEX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
FROM_PREFIX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
FromEmailToDictionaryMapper - Class in org.apache.mahout.cf.taste.example.email
  Assumes the input is in the format created by `SequenceFilesFromMailArchives`
FromEmailToDictionaryMapper() - Constructor for class org.apache.mahout.cf.taste.example.email.FromEmailToDictionaryMapper

## G

generate2dSamples() - Static method in class org.apache.mahout.clustering.display.DisplayClustering
generate2dSamples(int, double, double, double, double) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Generate random samples and add them to the sampleData
generateSamples() - Static method in class org.apache.mahout.clustering.display.DisplayClustering
generateSamples(int, double, double, double) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Generate random samples and add them to the sampleData
getAuc() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
getAverageWindow() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
getBias() - Method in class org.apache.mahout.classifier.NewsgroupHelper
getCentroidsFromCentroidWritableIterable(Iterable<CentroidWritable>) - Static method in class org.apache.mahout.clustering.streaming.tools.IOUtils
  Converts CentroidWritable values in a sequence file into Centroids lazily.
getCentroidsFromClusterWritableIterable(Iterable<ClusterWritable>) - Static method in class org.apache.mahout.clustering.streaming.tools.IOUtils
  Converts CentroidWritable values in a sequence file into Centroids lazily.
getCsvRecordFactory() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Returns a CsvRecordFactory compatible with this logistic model.
getDataFileDirectory() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getDataModel() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
getEncoder() - Method in class org.apache.mahout.classifier.NewsgroupHelper
getInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
getItemIDs() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getLambda() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getLearningRate() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
getMaxTargetCategories() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
getMinPreference() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
getModel() - Static method in class org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic
getModel() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getNumItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getParameters() - Static method in class org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic
getParameters() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
getPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
getPreferences() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
getPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getPrior() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
getPriorOption() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
getRandom() - Method in class org.apache.mahout.classifier.NewsgroupHelper
getRatings(String[]) - Static method in class org.apache.mahout.cf.taste.example.TasteOptionParser
  Parse the given command line arguments.
getTargetCategories() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getTargetVariable() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getTestFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getThreads() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
getTrackFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getTrainingFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getTypeMap() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
getUserIDs() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
getValidationFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
getVectorsFromVectorWritableIterable(Iterable<VectorWritable>) - Static method in class org.apache.mahout.clustering.streaming.tools.IOUtils
  Converts VectorWritable values in a sequence file into Vectors lazily.
GroupLensDataModel - Class in org.apache.mahout.cf.taste.similarity.precompute.example
GroupLensDataModel() - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.example.GroupLensDataModel
GroupLensDataModel(File) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.example.GroupLensDataModel

## H

hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

## I

initialize() - Method in class org.apache.mahout.clustering.display.DisplayClustering
IOUtils - Class in org.apache.mahout.clustering.streaming.tools
isSignificant(Cluster) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
ITEMS_PER_CLASS - Static variable in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver
iterator() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterable

## J

Job - Class in org.apache.mahout.clustering.syntheticcontrol.canopy
Job - Class in org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
Job - Class in org.apache.mahout.clustering.syntheticcontrol.kmeans

## K

KDDCupDataModel - Class in org.apache.mahout.cf.taste.example.kddcup
  An `DataModel` which reads into memory any of the KDD Cup's rating files; it is really meant for use with training data in the files trainIdx{1,2}}.txt.
KDDCupDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
KDDCupDataModel(File, boolean, double) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
KDDCupFactorizablePreferences - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
KDDCupFactorizablePreferences(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
KeyBasedStringTupleCombiner - Class in org.apache.mahout.fpm.pfpgrowth.dataset
KeyBasedStringTupleCombiner() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleCombiner
KeyBasedStringTupleGrouper - Class in org.apache.mahout.fpm.pfpgrowth.dataset
KeyBasedStringTupleMapper - Class in org.apache.mahout.fpm.pfpgrowth.dataset
  Splits the line using a `Pattern` and outputs key as given by the groupingFields
KeyBasedStringTupleMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
KeyBasedStringTupleReducer - Class in org.apache.mahout.fpm.pfpgrowth.dataset
KeyBasedStringTupleReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer

## L

loadClustersWritable(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
loadData(Configuration, Path, Dataset) - Static method in class org.apache.mahout.classifier.df.mapreduce.BuildForest
loadDictionaries(Configuration, String, OpenObjectIntHashMap<String>, String, OpenObjectIntHashMap<String>) - Static method in class org.apache.mahout.cf.taste.example.email.EmailUtility
loadFrom(InputStream) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Reads a model from a stream.
loadFrom(File) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Reads a model from a file.
loadFromFile(File) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
LogisticModelParameters - Class in org.apache.mahout.classifier.sgd
  Encapsulates everything we need to know about a model and how it reads and vectorizes its input.
LogisticModelParameters() - Constructor for class org.apache.mahout.classifier.sgd.LogisticModelParameters

## M

MailToDictionaryReducer - Class in org.apache.mahout.cf.taste.example.email
  Key: the string id Value: the count Out Key: the string id Out Value: the sum of the counts
MailToDictionaryReducer() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToDictionaryReducer
MailToPrefsDriver - Class in org.apache.mahout.cf.taste.example.email
  Convert the Mail archives (see `SequenceFilesFromMailArchives`) to a preference file that can be consumed by the `pseudo.RecommenderJob`.
MailToPrefsDriver() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToPrefsDriver
MailToRecMapper - Class in org.apache.mahout.cf.taste.example.email
MailToRecMapper() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToRecMapper
MailToRecMapper.Counters - Enum in org.apache.mahout.cf.taste.example.email
MailToRecReducer - Class in org.apache.mahout.cf.taste.example.email
MailToRecReducer() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToRecReducer
main(String...) - Static method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommenderEvaluatorRunner
main(String...) - Static method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommenderEvaluatorRunner
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.email.MailToPrefsDriver
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.ToCSV
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.Track1SVDRunner
main(String...) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluatorRunner
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Runner
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Runner
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.example.als.netflix.NetflixDatasetConverter
main(String[]) - Static method in class org.apache.mahout.cf.taste.similarity.precompute.example.BatchItemSimilaritiesGroupLens
main(String[]) - Static method in class org.apache.mahout.classifier.df.BreimanExample
main(String[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.BuildForest
main(String[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.TestForest
main(String[]) - Static method in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.PosTagger
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.PrintResourceOrFile
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.RunAdaptiveLogistic
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.RunLogistic
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.SimpleCsvExamples
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TestASFEmail
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TestNewsGroups
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainASFEmail
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainNewsGroups
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.ValidateAdaptiveLogistic
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayCanopy
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayFuzzyKMeans
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayKMeans
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplaySpectralKMeans
main(String[]) - Static method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer
main(String[]) - Static method in class org.apache.mahout.clustering.streaming.tools.ResplitSequenceFiles
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.DeliciousTagsExample
map(Text, Text, Mapper<Text, Text, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.FromEmailToDictionaryMapper
map(Text, Text, Mapper<Text, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecMapper
map(Text, Text, Mapper<Text, Text, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MsgIdToDictionaryMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailMapper
map(LongWritable, Text, Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
MSG_ID_DIMENSION - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
MSG_IDS_PREFIX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
MsgIdToDictionaryMapper - Class in org.apache.mahout.cf.taste.example.email
  Assumes the input is in the format created by `SequenceFilesFromMailArchives`
MsgIdToDictionaryMapper() - Constructor for class org.apache.mahout.cf.taste.example.email.MsgIdToDictionaryMapper

## N

NetflixDatasetConverter - Class in org.apache.mahout.cf.taste.hadoop.example.als.netflix
  converts the raw files provided by netflix to an appropriate input format
NewsgroupHelper - Class in org.apache.mahout.classifier
NewsgroupHelper() - Constructor for class org.apache.mahout.classifier.NewsgroupHelper
numItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
numItems() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
numItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
numPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
numPreferences() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
numPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
numUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
numUsers() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
numUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences

## O

org.apache.mahout.cf.taste.example - package org.apache.mahout.cf.taste.example
org.apache.mahout.cf.taste.example.bookcrossing - package org.apache.mahout.cf.taste.example.bookcrossing
org.apache.mahout.cf.taste.example.email - package org.apache.mahout.cf.taste.example.email
org.apache.mahout.cf.taste.example.kddcup - package org.apache.mahout.cf.taste.example.kddcup
org.apache.mahout.cf.taste.example.kddcup.track1 - package org.apache.mahout.cf.taste.example.kddcup.track1
org.apache.mahout.cf.taste.example.kddcup.track1.svd - package org.apache.mahout.cf.taste.example.kddcup.track1.svd
org.apache.mahout.cf.taste.example.kddcup.track2 - package org.apache.mahout.cf.taste.example.kddcup.track2
org.apache.mahout.cf.taste.hadoop.example.als.netflix - package org.apache.mahout.cf.taste.hadoop.example.als.netflix
org.apache.mahout.cf.taste.similarity.precompute.example - package org.apache.mahout.cf.taste.similarity.precompute.example
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.mapreduce - package org.apache.mahout.classifier.df.mapreduce
org.apache.mahout.classifier.email - package org.apache.mahout.classifier.email
org.apache.mahout.classifier.sequencelearning.hmm - package org.apache.mahout.classifier.sequencelearning.hmm
org.apache.mahout.classifier.sgd - package org.apache.mahout.classifier.sgd
org.apache.mahout.clustering.display - package org.apache.mahout.clustering.display
org.apache.mahout.clustering.streaming.tools - package org.apache.mahout.clustering.streaming.tools
org.apache.mahout.clustering.syntheticcontrol.canopy - package org.apache.mahout.clustering.syntheticcontrol.canopy
org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans - package org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
org.apache.mahout.clustering.syntheticcontrol.kmeans - package org.apache.mahout.clustering.syntheticcontrol.kmeans
org.apache.mahout.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth
org.apache.mahout.fpm.pfpgrowth.dataset - package org.apache.mahout.fpm.pfpgrowth.dataset
OUTPUT - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans

## P

paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayCanopy
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayClustering
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayFuzzyKMeans
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayKMeans
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplaySpectralKMeans
ParallelArraysSGDFactorizer - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
  `Factorizer` based on Simon Funk's famous article "Netflix Update: Try this at home".
ParallelArraysSGDFactorizer(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
ParallelArraysSGDFactorizer(DataModel, int, int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
ParallelArraysSGDFactorizer(FactorizablePreferences, int, int) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
ParallelArraysSGDFactorizer(FactorizablePreferences, int, int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
parseReferences(CharSequence) - Static method in class org.apache.mahout.cf.taste.example.email.EmailUtility
permute(Iterable<File>, Random) - Static method in class org.apache.mahout.classifier.sgd.SGDHelper
plotClusteredRectangle(Graphics2D, Vector, Vector, Color) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Identical to plotRectangle(), but with the option of setting the color of the rectangle's stroke.
plotClusteredSampleData(Graphics2D, Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  This method plots points and colors them according to their cluster membership, rather than drawing ellipses.
plotClusters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayCanopy
plotClusters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
plotEllipse(Graphics2D, Vector, Vector) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Draw an ellipse on the graphics context
plotRectangle(Graphics2D, Vector, Vector) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Draw a rectangle on the graphics context
plotSampleData(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
plotSampleParameters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
PosTagger - Class in org.apache.mahout.classifier.sequencelearning.hmm
  This class implements a sample program that uses a pre-tagged training data set to train an HMM model as a POS tagger.
PrepEmailMapper - Class in org.apache.mahout.classifier.email
  Convert the labels created by the `MailProcessor` to one consumable by the classifiers
PrepEmailMapper() - Constructor for class org.apache.mahout.classifier.email.PrepEmailMapper
PrepEmailReducer - Class in org.apache.mahout.classifier.email
PrepEmailReducer() - Constructor for class org.apache.mahout.classifier.email.PrepEmailReducer
PrepEmailVectorsDriver - Class in org.apache.mahout.classifier.email
  Convert the labels generated by `SequenceFilesFromMailArchives` and `SparseVectorsFromSequenceFiles` to ones consumable by the classifiers.
PrepEmailVectorsDriver() - Constructor for class org.apache.mahout.classifier.email.PrepEmailVectorsDriver
PrintResourceOrFile - Class in org.apache.mahout.classifier.sgd
  Uses the same logic as TrainLogistic and RunLogistic for finding an input, but instead of processing the input, this class just prints the input to standard out.
printSummaries(List<OnlineSummarizer>, String) - Method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer
printSummaries(List<OnlineSummarizer>, String, PrintWriter) - Static method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator

## R

readClustersWritable(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
readResourceToTempFile(String) - Static method in class org.apache.mahout.cf.taste.similarity.precompute.example.GroupLensDataModel
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
reduce(Text, Iterable<VarIntWritable>, Reducer<Text, VarIntWritable, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToDictionaryReducer
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecReducer
reduce(Text, Iterable<VectorWritable>, Reducer<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailReducer
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleCombiner
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, Text>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
REFS_INDEX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
res - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
reset() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
ResplitSequenceFiles - Class in org.apache.mahout.clustering.streaming.tools
run(String[]) - Method in class org.apache.mahout.cf.taste.example.email.MailToPrefsDriver
run(String[]) - Method in class org.apache.mahout.classifier.df.BreimanExample
run(String[]) - Method in class org.apache.mahout.classifier.df.mapreduce.BuildForest
run(String[]) - Method in class org.apache.mahout.classifier.df.mapreduce.TestForest
run(String[]) - Method in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver
run(PrintWriter) - Method in class org.apache.mahout.classifier.sgd.TestASFEmail
run(PrintWriter) - Method in class org.apache.mahout.classifier.sgd.TestNewsGroups
run(String[]) - Method in class org.apache.mahout.classifier.sgd.TrainASFEmail
run(String[]) - Method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
run(Configuration, Path, Path, DistanceMeasure, double, double, int, float, double) - Static method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
  Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
run(Configuration, Path, Path, DistanceMeasure, int, double, int) - Static method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
  Run the kmeans clustering job on an input dataset using the given the number of clusters k and iteration parameters.
run(Configuration, Path, Path, DistanceMeasure, double, double, double, int) - Static method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
  Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
RunAdaptiveLogistic - Class in org.apache.mahout.classifier.sgd
RunLogistic - Class in org.apache.mahout.classifier.sgd

## S

SAMPLE_DATA - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
SAMPLES - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans
saveTo(OutputStream) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
saveTo(OutputStream) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Saves a model to an output stream.
SEPARATOR - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
SEPARATOR_CHAR - Static variable in class org.apache.mahout.classifier.sgd.SimpleCsvExamples
setAuc(String) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
setAverageWindow(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
setInterval(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
setLambda(double) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setLearningRate(double) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setMaxTargetCategories(int) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Sets the number of target categories to be considered.
setNumFeatures(int) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
setPrior(String) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
setPriorOption(double) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
setTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setTargetVariable(String) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Sets the target variable.
setThreads(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
setTypeMap(Iterable<String>, List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Sets the types of the predictors.
setTypeMap(Map<String, String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setup(Mapper<Text, Text, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.FromEmailToDictionaryMapper
setup(Mapper<Text, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecMapper
setup(Reducer<Text, LongWritable, Text, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecReducer
setup(Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailMapper
setup(Reducer<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailReducer
setup(Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
setup(Reducer<Text, StringTuple, Text, Text>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
setUseBias(boolean) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
SGDHelper - Class in org.apache.mahout.classifier.sgd
shufflePreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
SimpleCsvExamples - Class in org.apache.mahout.classifier.sgd
  Shows how different encoding choices can make big speed differences.
SIZE - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
skip(int) - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
startJob(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleGrouper

## T

T1 - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
T2 - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
TasteOptionParser - Class in org.apache.mahout.cf.taste.example
  This class provides a common implementation for parsing input parameters for all taste examples.
TEMP - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans
TestASFEmail - Class in org.apache.mahout.classifier.sgd
  Run the ASF email, as trained by TrainASFEmail
TestForest - Class in org.apache.mahout.classifier.df.mapreduce
  Tool to classify a Dataset using a previously built Decision Forest
TestForest() - Constructor for class org.apache.mahout.classifier.df.mapreduce.TestForest
TestNewsGroups - Class in org.apache.mahout.classifier.sgd
  Run the 20 news groups test data through SGD, as trained by `TrainNewsGroups`.
ToCSV - Class in org.apache.mahout.cf.taste.example.kddcup
  This class converts a KDD Cup input file into a compressed CSV format.
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
toString() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
toString() - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
toString() - Method in class org.apache.mahout.cf.taste.similarity.precompute.example.GroupLensDataModel
Track1Recommender - Class in org.apache.mahout.cf.taste.example.kddcup.track1
Track1Recommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
Track1RecommenderEvaluator - Class in org.apache.mahout.cf.taste.example.kddcup.track1
  Attempts to run an evaluation just like that dictated for Yahoo's KDD Cup, Track 1.
Track1RecommenderEvaluator(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
Track1RecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.kddcup.track1
Track1Runner - Class in org.apache.mahout.cf.taste.example.kddcup.track1
  Runs "track 1" of the KDD Cup competition using whatever recommender is inside `Track1Recommender` and attempts to output the result in the correct contest format.
Track1SVDRunner - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
  run an SVD factorization of the KDD track1 data.
Track2Recommender - Class in org.apache.mahout.cf.taste.example.kddcup.track2
Track2Recommender(DataModel, File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
Track2Runner - Class in org.apache.mahout.cf.taste.example.kddcup.track2
  Runs "track 2" of the KDD Cup competition using whatever recommender is inside `Track2Recommender` and attempts to output the result in the correct contest format.
train(int, int, int, double, double) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
TrainAdaptiveLogistic - Class in org.apache.mahout.classifier.sgd
TrainASFEmail - Class in org.apache.mahout.classifier.sgd
TrainLogistic - Class in org.apache.mahout.classifier.sgd
  Train a logistic regression for the examples from Chapter 13 of Mahout in Action
TrainNewsGroups - Class in org.apache.mahout.classifier.sgd
  Reads and trains an adaptive logistic regression model on the 20 newsgroups data.

## U

USE_COUNTS_PREFERENCE - Static variable in class org.apache.mahout.cf.taste.example.email.MailToRecReducer
  We can either ignore how many times the user interacted (boolean) or output the number of times they interacted.
USE_LIST_NAME - Static variable in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver
useBias() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

## V

ValidateAdaptiveLogistic - Class in org.apache.mahout.classifier.sgd
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.example.email.EmailUtility.Counters
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.example.email.MailToRecMapper.Counters
  Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.mahout.cf.taste.example.email.EmailUtility.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.cf.taste.example.email.MailToRecMapper.Counters
  Returns an array containing the constants of this enum type, in the order they are declared.

## W

WHITESPACE - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
writeSampleData(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering

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

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