Uses of Class
org.apache.mahout.classifier.sgd.CrossFoldLearner

Packages that use CrossFoldLearner
org.apache.mahout.classifier.sgd Implements a variety of on-line logistric regression classifiers using SGD-based algorithms. 
 

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

Methods in org.apache.mahout.classifier.sgd that return CrossFoldLearner
 CrossFoldLearner CrossFoldLearner.alpha(double alpha)
           
 CrossFoldLearner CrossFoldLearner.copy()
           
 CrossFoldLearner CrossFoldLearner.decayExponent(double x)
           
 CrossFoldLearner AdaptiveLogisticRegression.Wrapper.getLearner()
           
 CrossFoldLearner CrossFoldLearner.lambda(double v)
           
 CrossFoldLearner CrossFoldLearner.learningRate(double x)
           
 CrossFoldLearner CrossFoldLearner.stepOffset(int x)
           
 

Methods in org.apache.mahout.classifier.sgd that return types with arguments of type CrossFoldLearner
 State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> AdaptiveLogisticRegression.getBest()
           
 EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> AdaptiveLogisticRegression.getEp()
           
 State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> AdaptiveLogisticRegression.getSeed()
           
 

Methods in org.apache.mahout.classifier.sgd with parameters of type CrossFoldLearner
static void ModelSerializer.writeBinary(String path, CrossFoldLearner model)
           
 

Method parameters in org.apache.mahout.classifier.sgd with type arguments of type CrossFoldLearner
static void AdaptiveLogisticRegression.Wrapper.freeze(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> s)
           
 void AdaptiveLogisticRegression.setBest(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> best)
           
 void AdaptiveLogisticRegression.setEp(EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> ep)
           
static void AdaptiveLogisticRegression.Wrapper.setMappings(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> x)
           
 void AdaptiveLogisticRegression.setSeed(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> seed)
           
 



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