8000 DOC Fix some new sphinx warnings. by cmarmo · Pull Request #15560 · scikit-learn/scikit-learn · GitHub
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DOC Fix some new sphinx warnings. #15560

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Merged
merged 2 commits into from
Nov 7, 2019
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DOC Fix some new sphinx warnings. #15560

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af0ef6f
Fix some new sphinx warnings.
cmarmo Nov 7, 2019
6d520e5
Merge remote-tracking branch 'upstream/master' into pr/15560
thomasjpfan Nov 7, 2019
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26 changes: 13 additions & 13 deletions doc/modules/compose.rst
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Expand Up @@ -467,19 +467,19 @@ with a :func:`~sklearn.compose.make_column_selector`. The
:func:`~sklearn.compose.make_column_selector` is used to select columns based
on data type or column name::

>>> from sklearn.preprocessing import StandardScaler
>>> from sklearn.compose import make_column_selector
>>> ct = ColumnTransformer([
... ('scale', StandardScaler(),
... make_column_selector(dtype_include=np.number)),
... ('onehot',
... OneHotEncoder(),
... make_column_selector(pattern='city', dtype_include=object))])
>>> ct.fit_transform(X)
array([[ 0.904..., 0. , 1. , 0. , 0. ],
[-1.507..., 1.414..., 1. , 0. , 0. ],
[-0.301..., 0. , 0. , 1. , 0. ],
[ 0.904..., -1.414..., 0. , 0. , 1. ]])
>>> from sklearn.preprocessing import StandardScaler
>>> from sklearn.compose import make_column_selector
>>> ct = ColumnTransformer([
... ('scale', StandardScaler(),
... make_column_selector(dtype_include=np.number)),
... ('onehot',
... OneHotEncoder(),
... make_column_selector(pattern='city', dtype_include=object))])
>>> ct.fit_transform(X)
array([[ 0.904..., 0. , 1. , 0. , 0. ],
[-1.507..., 1.414..., 1. , 0. , 0. ],
[-0.301..., 0. , 0. , 1. , 0. ],
[ 0.904..., -1.414..., 0. , 0. , 1. ]])

Strings can reference columns if the input is a DataFrame, integers are always
interpreted as the positional columns.
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3 changes: 1 addition & 2 deletions doc/whats_new/v0.22.rst
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Expand Up @@ -157,13 +157,12 @@ Changelog
`affinity='cosine'` and `X` has samples that are all-zeros. :pr:`7943` by
:user:`mthorrell`.


:mod:`sklearn.compose`
......................

- |Feature| Adds :func:`compose.make_column_selector` which is used with
:class:`compose.ColumnTransformer` to select DataFrame columns on the basis
of name and dtype. :pr:`12303` by `Thomas Fan `_.
of name and dtype. :pr:`12303` by `Thomas Fan`_.

- |Fix| Fixed a bug in :class:`compose.ColumnTransformer` which failed to
select the proper columns when using a boolean list, with NumPy older than
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4 changes: 2 additions & 2 deletions sklearn/mixture/_bayesian_mixture.py
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Expand Up @@ -261,8 +261,8 @@ class BayesianGaussianMixture(BaseMixture):
The precision prior on the mean distribution (Gaussian).
Controls the extent of where means can be placed.
Larger values concentrate the cluster means around `mean_prior`.
If mean_precision_prior is set to None, mean_precision_prior_ is set to
1.
If mean_precision_prior is set to None, `mean_precision_prior_` is set
to 1.

mean_precision_ : array-like, shape (n_components,)
The precision of each components on the mean distribution (Gaussian).
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