autointent.context.data_handler#

Classes#

`DataHandler`	Convenient wrapper for `autointent.Dataset`.
`SplitReadinessResult`	Result of checking whether a dataset can be fed to autointent pipeline.
`StratifiedSplitter`	A class for stratified splitting of datasets.

`check_split_readiness`(dataset, split, config[, ...])	Check whether the dataset has enough samples per class for autointent pipeline.
`split_dataset`(dataset, split, test_size, random_seed)	Split a Dataset object into training and testing subsets.