Uses of Interface
adams.data.splitgenerator.SplitGenerator

Packages that use SplitGenerator

Package	Description
adams.data.splitgenerator
adams.ml.evaluation
weka.classifiers

Uses of SplitGenerator in adams.data.splitgenerator

Subinterfaces of SplitGenerator in adams.data.splitgenerator

Modifier and Type	Interface	Description
interface	CrossValidationFoldGenerator<I,O>	Interface for generating cross-validation folds.
interface	PerFoldCrossValidationFoldGenerator<I,O>	Interface for cross-validation fold generators that can return the indices per fold.
interface	RandomSplitGenerator<I,O>	Interface for generators of random splits of datasets.
interface	StratifiableSplitGenerator<I,O>	Interface for split generators that can stratify the randomized data.

Uses of SplitGenerator in adams.ml.evaluation

Classes in adams.ml.evaluation that implement SplitGenerator

Modifier and Type	Class	Description
class	AbstractSplitGenerator	Ancestor for helper classes that generates dataset splits.
class	DefaultCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
class	DefaultRandomSplitGenerator	Generates random splits of datasets.

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	PerFoldCrossValidationFoldGenerator	Interface for cross-validation fold generators that can return the indices per fold.
interface	RandomSplitGenerator	Interface for generators of random splits of datasets.
interface	SplitGenerator	Interface for helper classes that generate dataset splits.

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.