PresplitFilesCV

class PresplitFilesCV(cv=None)

Cross-validation iterator over split predefined in files.

This class is useful in orchestration where the train and test set is provided in separate files.

Methods

get_n_splits()	Return the number of splits.
split(data[, y, groups])	Split the data according to the train/test index.

split(data, y=None, groups=None)

Split the data according to the train/test index.

Parameters:

datapandas.DataFrame

Yields:

trainndarray

Train indices

testndarray

Test indices

get_n_splits()

Return the number of splits.

Returns:

n_splitsint