Package weka.classifiers

Interface Summary

Interface	Description
AbstainingClassifier	Interface for classifiers that may support abstaining.
CrossValidationFoldGenerator	Interface for generating cross-validation folds.
RandomSplitGenerator	Interface for generators of random splits of datasets.
RangeCheckClassifier	Interface for classifiers that allow checks whether data is outside the training range of the classifier.
SplitGenerator	Interface for helper classes that generate dataset splits.
TestingHelper.TestingUpdateListener	The interface for objects that listen for testing updates.
ThreadSafeClassifier	Indicator interface for thread-safe classifiers.

Class Summary

Class	Description
AbstractSplitGenerator	Ancestor for helper classes that generates dataset splits.
AggregateEvaluations	Allows the aggregation of Evaluation objects.
BestBinnedNumericClassRandomSplitGenerator	Picks the best binning algorithm from the provided ones.
BinnedNumericClassCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
BinnedNumericClassRandomSplitGenerator	Generates random splits of datasets with numeric classes using a binning algorithm.
CrossValidationHelper	Helper class for cross-validation.
DefaultCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
DefaultRandomSplitGenerator	Generates random splits of datasets.
GroupedBinnedNumericClassCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
GroupedBinnedNumericClassRandomSplitGenerator	Generates random splits of datasets with numeric classes using a binning algorithm.
GroupedCrossValidationFoldGenerator	Helper class for generating cross-validation folds.
GroupedCrossValidationFoldGeneratorUsingNumericClassValues	Helper class for generating cross-validation folds. Uses the string representation of the numeric class values as grouping.
GroupedRandomSplitGenerator	Generates random splits of datasets, making sure that groups of instances stay together (identified via a regexp).
LeaveOneOutByValueGenerator	Generates train/test split pairs using the unique values from the specified attribute.
MultiLevelSplitGenerator	Generates splits based on groups extracted via regular expressions.
RangeCheckHelper	Helper class for generating range checks.
StoppableEvaluation	Extended Evaluation class that can stop its evaluation processes better.
TestingHelper	Helper class for evaluating models on test data.