ai.libs.jaicore.ml.weka.dataset.splitter

Class RandomMultilabelCrossValidation

java.lang.Object

ai.libs.jaicore.ml.weka.dataset.splitter.RandomMultilabelCrossValidation

All Implemented Interfaces:

IMultilabelCrossValidation

public class RandomMultilabelCrossValidation
extends java.lang.Object
implements IMultilabelCrossValidation

Class executing pseudo-random splits to enable multilabelcrossvalidation.

Constructor Summary

Constructors

Constructor and Description
RandomMultilabelCrossValidation()

Method Summary

Modifier and Type	Method and Description
java.lang.String	getName() Get the name of the implementing multilabel cross validation technique.
java.lang.String	getSplitSeparator() Get the separator used to separate single portions of a split in a given splitInfo.
weka.core.Instances	getTestSplit(weka.core.Instances data, int seed, int fold, java.lang.String splitInfo) Gets a test split from the given data based on the seed.
weka.core.Instances	getTrainSplit(weka.core.Instances data, int seed, int fold, java.lang.String splitInfo) Gets a train split from the given data based on the seed.

Methods inherited from class java.lang.Object

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

Methods inherited from interface ai.libs.jaicore.ml.weka.dataset.splitter.IMultilabelCrossValidation

generateSplittingInfo, generateSplittingString

Constructor Detail

RandomMultilabelCrossValidation

public RandomMultilabelCrossValidation()

Method Detail

getTestSplit

public weka.core.Instances getTestSplit(weka.core.Instances data,
                                        int seed,
                                        int fold,
                                        java.lang.String splitInfo)

Description copied from interface: IMultilabelCrossValidation

Gets a test split from the given data based on the seed. The given fold is the test fold.

Specified by:

getTestSplit in interface IMultilabelCrossValidation

Parameters:

data - The data from which to derive the split

seed - The seed possibly used by the implementation class to derive the split

fold - The number of the fold which is the testing fold

splitInfo - Information about the split for the class executing the split (e.g. portion sizes of folds)

Returns:

A test Instances derived from the given instances

getTrainSplit

public weka.core.Instances getTrainSplit(weka.core.Instances data,
                                         int seed,
                                         int fold,
                                         java.lang.String splitInfo)

Description copied from interface: IMultilabelCrossValidation

Gets a train split from the given data based on the seed. The given fold is the test fold, which is the left out fold for this case.

Specified by:

getTrainSplit in interface IMultilabelCrossValidation

Parameters:

data - The data from which to derive the split

seed - The seed possibly used by the implementation class to derive the split

fold - The number of the fold which is the testing fold (left out fold)

splitInfo - Information about the split for the class executing the split (e.g. portion sized of folds)

Returns:

A train Instances derived from the given instances

getName

public java.lang.String getName()

Description copied from interface: IMultilabelCrossValidation

Get the name of the implementing multilabel cross validation technique.

Specified by:

getName in interface IMultilabelCrossValidation

Returns:

The name of the technique

getSplitSeparator

public java.lang.String getSplitSeparator()

Description copied from interface: IMultilabelCrossValidation

Get the separator used to separate single portions of a split in a given splitInfo. E.g. if the splitInfo represents data portions, it could be 0.7/0.3 with "/" being the split separator.

Specified by:

getSplitSeparator in interface IMultilabelCrossValidation

Returns:

The slit separator used by the specific implementation of this interface