ws.palladian.classification

Class SelfTuningLibSvmLearner

java.lang.Object

ws.palladian.core.AbstractLearner<LibSvmModel>

ws.palladian.classification.SelfTuningLibSvmLearner

All Implemented Interfaces:

Learner<LibSvmModel>

public class SelfTuningLibSvmLearner
extends AbstractLearner<LibSvmModel>

Performs a tuning on the penalty parameter C and gamma for the LibSvmLearner by applying a k-fold cross validation, as suggested in "A Practical Guide to Support Vector Classification", Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin, 2010.

Author:

pk

Constructor Summary

Constructors

Constructor and Description
SelfTuningLibSvmLearner(int numFolds)

Method Summary

Modifier and Type	Method and Description
LibSvmModel	train(Dataset dataset)

Methods inherited from class ws.palladian.core.AbstractLearner

toString, train, train

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

SelfTuningLibSvmLearner

public SelfTuningLibSvmLearner(int numFolds)

Method Detail

train

public LibSvmModel train(Dataset dataset)