DOC Remove outdated doc in KBinsDiscretizer
@@ -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.
@@ -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_, )``
