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

Packages that use CrossFoldLearner

Package	Description
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

Modifier and Type	Method and Description
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

Modifier and Type	Method and Description
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

Modifier and Type	Method and Description
static void	ModelSerializer.writeBinary(String path, CrossFoldLearner model)

Method parameters in org.apache.mahout.classifier.sgd with type arguments of type CrossFoldLearner

Modifier and Type	Method and Description
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)