Uses of Interface
weka.classifiers.RandomSplitGenerator

Packages that use RandomSplitGenerator

Package	Description
adams.flow.transformer
adams.gui.tools.wekamultiexperimenter.experiment
weka.classifiers

Uses of RandomSplitGenerator in adams.flow.transformer

Fields in adams.flow.transformer declared as RandomSplitGenerator

Modifier and Type	Field	Description
protected RandomSplitGenerator	WekaRandomSplit.m_ActualGenerator	the currently active generator.
protected RandomSplitGenerator	WekaRandomSplit.m_Generator	the split generator to use.

Methods in adams.flow.transformer that return RandomSplitGenerator

Modifier and Type	Method	Description
RandomSplitGenerator	WekaRandomSplit.getGenerator()	Returns the scheme for generating the split.

Methods in adams.flow.transformer with parameters of type RandomSplitGenerator

Modifier and Type	Method	Description
void	WekaRandomSplit.setGenerator(RandomSplitGenerator value)	Sets the scheme for generating the split.

Uses of RandomSplitGenerator in adams.gui.tools.wekamultiexperimenter.experiment

Fields in adams.gui.tools.wekamultiexperimenter.experiment declared as RandomSplitGenerator

Modifier and Type	Field	Description
protected RandomSplitGenerator	TrainTestSplitExperiment.m_Generator	the split generator to use.

Methods in adams.gui.tools.wekamultiexperimenter.experiment that return RandomSplitGenerator

Modifier and Type	Method	Description
RandomSplitGenerator	TrainTestSplitExperiment.getGenerator()	Returns the scheme for generating the split.

Methods in adams.gui.tools.wekamultiexperimenter.experiment with parameters of type RandomSplitGenerator

Modifier and Type	Method	Description
void	TrainTestSplitExperiment.setGenerator(RandomSplitGenerator value)	Sets the scheme for generating the split.

Uses of RandomSplitGenerator in weka.classifiers

Classes in weka.classifiers that implement RandomSplitGenerator

Modifier and Type	Class	Description
class	BestBinnedNumericClassRandomSplitGenerator	Picks the best binning algorithm from the provided ones.
class	BinnedNumericClassRandomSplitGenerator	Generates random splits of datasets with numeric classes using a binning algorithm.
class	DefaultRandomSplitGenerator	Generates random splits of datasets.
class	GroupedBinnedNumericClassRandomSplitGenerator	Generates random splits of datasets with numeric classes using a binning algorithm.
class	GroupedRandomSplitGenerator	Generates random splits of datasets, making sure that groups of instances stay together (identified via a regexp).