## 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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