Uses of Interface
weka.classifiers.SplitGenerator

Packages that use SplitGenerator

Package	Description
adams.flow.transformer
adams.gui.tools.wekainvestigator.datatable.action
weka.classifiers

Uses of SplitGenerator in adams.flow.transformer

Fields in adams.flow.transformer declared as SplitGenerator

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

Methods in adams.flow.transformer that return SplitGenerator

Modifier and Type	Method	Description
SplitGenerator	WekaSplitGenerator.getGenerator()	Returns the scheme for generating the split.

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

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

Uses of SplitGenerator in adams.gui.tools.wekainvestigator.datatable.action

Fields in adams.gui.tools.wekainvestigator.datatable.action declared as SplitGenerator

Modifier and Type	Field	Description
protected SplitGenerator	Split.m_LastSplitter	the last splitter.

Uses of SplitGenerator in weka.classifiers

Subinterfaces of SplitGenerator in weka.classifiers

Modifier and Type	Interface	Description
interface	CrossValidationFoldGenerator	Interface for generating cross-validation folds.
interface	RandomSplitGenerator	Interface for generators of random splits of datasets.

Classes in weka.classifiers that implement SplitGenerator

Modifier and Type	Class	Description
class	AbstractSplitGenerator	Ancestor for helper classes that generates dataset splits.
class	BestBinnedNumericClassRandomSplitGenerator	Picks the best binning algorithm from the provided ones.
class	BinnedNumericClassCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
class	BinnedNumericClassRandomSplitGenerator	Generates random splits of datasets with numeric classes using a binning algorithm.
class	DefaultCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
class	DefaultRandomSplitGenerator	Generates random splits of datasets.
class	GroupedBinnedNumericClassCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
class	GroupedBinnedNumericClassRandomSplitGenerator	Generates random splits of datasets with numeric classes using a binning algorithm.
class	GroupedCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
class	GroupedCrossValidationFoldGeneratorUsingNumericClassValues	Helper class for generating cross-validation folds. Uses the string representation of the numeric class values as grouping.
class	GroupedRandomSplitGenerator	Generates random splits of datasets, making sure that groups of instances stay together (identified via a regexp).
class	LeaveOneOutByValueGenerator	Generates train/test split pairs using the unique values from the specified attribute.
class	MultiLevelSplitGenerator	Generates splits based on groups extracted via regular expressions.