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DOC Remove outdated doc in KBinsDiscretizer #13047

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Jan 27, 2019
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DOC Remove outdated doc in KBinsDiscretizer #13047

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10 changes: 2 additions & 8 deletions sklearn/preprocessing/_discretization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,12 +27,7 @@ class KBinsDiscretizer(BaseEstimator, TransformerMixin):
Parameters
----------
n_bins : int or array-like, shape (n_features,) (default=5)
The number of bins to produce. The intervals for the bins are
determined by the minimum and maximum of the input data.
Raises ValueError if ``n_bins < 2``.

If ``n_bins`` is an array, and there is an ignored feature at
index ``i``, ``n_bins[i]`` will be ignored.
The number of bins to produce. Raises ValueError if ``n_bins < 2``.

encode : {'onehot', 'onehot-dense', 'ordinal'}, (default='onehot')
Method used to encode the transformed result.
Expand Down Expand Up @@ -62,8 +57,7 @@ class KBinsDiscretizer(BaseEstimator, TransformerMixin):
Attributes
----------
n_bins_ : int array, shape (n_features,)
Number of bins per feature. An ignored feature at index ``i``
will have ``n_bins_[i] == 0``.
Number of bins per feature.

bin_edges_ : array of arrays, shape (n_features, )
The edges of each bin. Contain arrays of varying shapes ``(n_bins_, )``
Expand Down