## Uses of Class
org.apache.mahout.classifier.AbstractVectorClassifier

Packages that use AbstractVectorClassifier
org.apache.mahout.classifier.naivebayes
org.apache.mahout.classifier.sgd: Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
org.apache.mahout.clustering.classify

Uses of AbstractVectorClassifier in org.apache.mahout.classifier.naivebayes

Subclasses of AbstractVectorClassifier in org.apache.mahout.classifier.naivebayes
`class` `AbstractNaiveBayesClassifier` Class implementing the Naive Bayes Classifier Algorithm.
`class` `ComplementaryNaiveBayesClassifier` Class implementing the Naive Bayes Classifier Algorithm
`class` `StandardNaiveBayesClassifier` Class implementing the Naive Bayes Classifier Algorithm

Uses of AbstractVectorClassifier in org.apache.mahout.classifier.sgd

Subclasses of AbstractVectorClassifier in org.apache.mahout.classifier.sgd
`class` `AbstractOnlineLogisticRegression` Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.
`class` `CrossFoldLearner` Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.
`class` `GradientMachine` Online gradient machine learner that tries to minimize the label ranking hinge loss.
`class` `OnlineLogisticRegression` Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.
`class` `PassiveAggressive` Online passive aggressive learner that tries to minimize the label ranking hinge loss.

Methods in org.apache.mahout.classifier.sgd with parameters of type AbstractVectorClassifier
`Vector` `RankingGradient.apply(String groupKey, int actual, Vector instance, AbstractVectorClassifier classifier)`
`Vector` `MixedGradient.apply(String groupKey, int actual, Vector instance, AbstractVectorClassifier classifier)`
`Vector` `Gradient.apply(String groupKey, int actual, Vector instance, AbstractVectorClassifier classifier)`
`Vector` `DefaultGradient.apply(String groupKey, int actual, Vector instance, AbstractVectorClassifier classifier)` Provides a default gradient computation useful for logistic regression.
`void` `ModelDissector.update(Vector features, Map<String,Set<Integer>> traceDictionary, AbstractVectorClassifier learner)` Probes a model to determine the effect of a particular variable.

Uses of AbstractVectorClassifier in org.apache.mahout.clustering.classify

Subclasses of AbstractVectorClassifier in org.apache.mahout.clustering.classify
`class` `ClusterClassifier` This classifier works with any ClusteringPolicy and its associated Clusters.

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