Uses of Interface
weka.classifiers.RandomSplitGenerator
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Packages that use RandomSplitGenerator Package Description adams.flow.transformer adams.gui.tools.wekamultiexperimenter.experiment weka.classifiers -
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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).
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