edu.illinois.cs.cogcomp.verbsense.learn

Class CrossValidationHelper<DatasetType>

java.lang.Object

edu.illinois.cs.cogcomp.verbsense.learn.CrossValidationHelper<DatasetType>

public class CrossValidationHelper<DatasetType>
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	CrossValidationHelper.DatasetSplitter<DatasetType>
static interface	CrossValidationHelper.PerformanceMeasureAverager<T extends PerformanceMeasure>
static interface	CrossValidationHelper.Tester<DatasetType>
static interface	CrossValidationHelper.Trainer<DatasetType>

Constructor Summary

Constructors

Constructor and Description
CrossValidationHelper(int nFolds, edu.illinois.cs.cogcomp.sl.inference.AbstractInferenceSolver[] inference, CrossValidationHelper.PerformanceMeasureAverager<? extends PerformanceMeasure> averager, CrossValidationHelper.DatasetSplitter<DatasetType> foldSplitter, CrossValidationHelper.Trainer<DatasetType> trainer, CrossValidationHelper.Tester<DatasetType> tester)

Method Summary

Modifier and Type	Method and Description
LearnerParameters	doCV(DatasetType train, List<LearnerParameters> params)
LearnerParameters	doCV(DatasetType train, List<LearnerParameters> params, boolean parallel)

Methods inherited from class java.lang.Object

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

Constructor Detail

CrossValidationHelper

public CrossValidationHelper(int nFolds,
                             edu.illinois.cs.cogcomp.sl.inference.AbstractInferenceSolver[] inference,
                             CrossValidationHelper.PerformanceMeasureAverager<? extends PerformanceMeasure> averager,
                             CrossValidationHelper.DatasetSplitter<DatasetType> foldSplitter,
                             CrossValidationHelper.Trainer<DatasetType> trainer,
                             CrossValidationHelper.Tester<DatasetType> tester)

Method Detail

doCV

public LearnerParameters doCV(DatasetType train,
                              List<LearnerParameters> params)
                       throws Exception

Throws:

Exception

doCV

public LearnerParameters doCV(DatasetType train,
                              List<LearnerParameters> params,
                              boolean parallel)
                       throws Exception

Throws:

Exception