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[MRG] Fix docstrings to Numpy format for LabelBinarizer #15440 #15460

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[MRG] Fix docstrings to Numpy format for LabelBinarizer #15440 #15460

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3d7e86b
labelBin: fixed docstring LabelBinarizer
paoloturati Nov 2, 2019
dac9dbd
labelBin: fixed docstring
paoloturati Nov 2, 2019
2db95b8
labelBin: fixed docstring LabelBinarizer
paoloturati Nov 2, 2019
831c799
Merge branch 'labelBin' of https://github.com/gbroccolo/scikit-learn …
paoloturati Nov 2, 2019
928ca37
labelBin: fixed docstring
paoloturati Nov 2, 2019
7d56087
labelBin: fixed docstring
paoloturati Nov 2, 2019
d8b1102
labelBin: fixed conflicts on PR
paoloturati Nov 8, 2019
1420191
Merge branch 'master' into labelBin
paoloturati Nov 8, 2019
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12 changes: 7 additions & 5 deletions sklearn/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -443,7 +443,7 @@ def fit_predict(self, X, y=None):
X : ndarray, shape (n_samples, n_features)
Input data.

y : Ignored
y : None
Not used, present for API consistency by convention.

Returns
Expand Down Expand Up @@ -539,8 +539,9 @@ def fit_transform(self, X, y=None, **fit_params):
"""
Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params
and returns a transformed version of X.
Fits transformer to X and y with
optional parameters fit_params and returns a transformed
version of X.

Parameters
----------
Expand Down Expand Up @@ -591,7 +592,8 @@ class OutlierMixin:
_estimator_type = "outlier_detector"

def fit_predict(self, X, y=None):
"""Perform fit on X and returns labels for X.
"""
Perform fit on X and returns labels for X.

Returns -1 for outliers and 1 for inliers.

Expand All @@ -600,7 +602,7 @@ def fit_predict(self, X, y=None):
X : ndarray, shape (n_samples, n_features)
Input data.

y : Ignored
y : None
Not used, present for API consistency by convention.

Returns
Expand Down
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