## 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: This package provides several clustering algorithm implementations.

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` `OnlineLogisticRegression` Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.

Methods in org.apache.mahout.classifier.sgd that return AbstractVectorClassifier
`static AbstractVectorClassifier` `ModelSerializer.loadJsonFrom(java.io.Reader in, java.lang.Class<? extends AbstractVectorClassifier> clazz)` Reads a model in JSON format.

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

Method parameters in org.apache.mahout.classifier.sgd with type arguments of type AbstractVectorClassifier
`static AbstractVectorClassifier` `ModelSerializer.loadJsonFrom(java.io.Reader in, java.lang.Class<? extends AbstractVectorClassifier> clazz)` Reads a model in JSON format.

Uses of AbstractVectorClassifier in org.apache.mahout.clustering

Subclasses of AbstractVectorClassifier in org.apache.mahout.clustering
`class` `VectorModelClassifier` This classifier works with any of the clustering Models.

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