ws.palladian.classification.liblinear

Class SelfTuningLibLinearLearner

java.lang.Object

ws.palladian.core.AbstractLearner<LibLinearModel>

ws.palladian.classification.liblinear.SelfTuningLibLinearLearner

All Implemented Interfaces:

Learner<LibLinearModel>

public class SelfTuningLibLinearLearner
extends AbstractLearner<LibLinearModel>

Performs a tuning on the penalty parameter C for the LibLinearLearner 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
SelfTuningLibLinearLearner(int numFolds)

Method Summary

Modifier and Type	Method and Description
LibLinearModel	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

SelfTuningLibLinearLearner

public SelfTuningLibLinearLearner(int numFolds)

Method Detail

train

public LibLinearModel train(Dataset dataset)