Splitters

All registered Splitter components in DashAI.

Name	Description
GroupKFoldSplitter	Splitter that generates folds while preserving the group structure of the data.
HoldoutSplitter	Split the dataset into train, test and validation partitions at random.
KFoldSplitter	Splitter that generates K folds for cross-validation.
LeaveOneOutSplitter	Splitter that creates one fold per sample by leaving one example out at a time.
RepeatedKFoldSplitter	Splitter that repeats the K-fold procedure multiple times.
RepeatedStratifiedKFoldSplitter	Splitter that repeats the stratified K-fold procedure multiple times.
RollingOriginSplitter	Cross-validate a series by walking the origin forward through time.
StratifiedGroupKFoldSplitter	Splitter that preserves both class balance and group membership in each fold.
StratifiedKFoldSplitter	Splitter that generates folds while preserving the class distribution.
TemporalHoldoutSplitter	Split a series in time order: train first, then validation, then test.