Package ai.libs.jaicore.ml.weka.dataset.splitter

Interface Summary

Interface	Description
IDatasetSplitter
IMultilabelCrossValidation	Represents an algorithm that realizes a split of a given multilabel instances in folds, given a seed, custom information about the split represented as a string, and the fold that is left out for testing.

Class Summary

Class	Description
ArbitrarySplitter	Generates a purely random split of the dataset depending on the seed and on the portions provided.
MulticlassClassStratifiedSplitter	Makes use of the WekaUtil to split the data into a class-oriented stratified split preserving the class distribution.
MultilabelDatasetSplitter	This class provides methods to obtain train and test splits for a given data set and split technique.
RandomMultilabelCrossValidation	Class executing pseudo-random splits to enable multilabelcrossvalidation.

Exception Summary

Exception	Description
SplitFailedException