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[MRG] DOC update fit_transform docstring of OneHotEncoder #12117

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Sep 20, 2018
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[MRG] DOC update fit_transform docstring of OneHotEncoder #12117

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12 changes: 8 additions & 4 deletions sklearn/preprocessing/_encoders.py
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Expand Up @@ -474,13 +474,17 @@ def _legacy_fit_transform(self, X):
def fit_transform(self, X, y=None):
"""Fit OneHotEncoder to X, then transform X.

Equivalent to self.fit(X).transform(X), but more convenient and more
efficient. See fit for the parameters, transform for the return value.
Equivalent to fit(X).transform(X) but more convenient.

Parameters
----------
X : array-like, shape [n_samples, n_feature]
Input array of type int.
X : array-like, shape [n_samples, n_features]
The data to encode.

Returns
-------
X_out : sparse matrix if sparse=True else a 2-d array
Transformed input.
"""
if self.handle_unknown not in ('error', 'ignore'):
msg = ("handle_unknown should be either 'error' or 'ignore', "
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