Uses of Interface
weka.classifiers.SplitGenerator
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Packages that use SplitGenerator Package Description adams.flow.transformer adams.gui.tools.wekainvestigator.datatable.action weka.classifiers -
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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.
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