NoSplit

class mastml.legos.data_splitters.NoSplit

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

Class to just train the model on the training data and test it on that same data. Sometimes referred to as a “Full fit” or a “Single fit”, equivalent to just plotting y vs. x.

Args:

None (only object instance)

Methods:

get_n_splits: method to calculate the number of splits to perform

Args:

None

Returns:

(int), always 1 as only a single split is performed

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

Args:

X: (numpy array), array of X features

Returns:

(numpy array), array of train and test indices (all data used as train and test for NoSplit)

Methods Summary

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

Methods Documentation

get_n_splits(X=None, y=None, groups=None)

split(X, y, groups=None)