SplittersUnion

class mastml.legos.data_splitters.SplittersUnion(splitters)

Bases: sklearn.base.BaseEstimator, sklearn.base.TransformerMixin

Class to take the union of two separate splitting routines, so that many splitting routines can be performed at once

Args:

splitters: (list), a list of scikit-learn splitter objects

Methods:

get_n_splits: method to calculate the number of splits to perform across all splitters

Args:

X: (numpy array), array of X features y: (numpy array), array of y data groups: (numpy array), array of group labels

Returns:

(int), number of total splits to be conducted

split: method to perform split into train indices and test indices

Args:

X: (numpy array), array of X features y: (numpy array), array of y data groups: (numpy array), array of group labels

Returns:

(numpy array), array of train and test indices

Methods Summary

get_n_splits(X, y[, groups])
split(X, y[, groups])

Methods Documentation

get_n_splits(X, y, groups=None)

split(X, y, groups=None)