| 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 | 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. |
