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.
 



Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.