From af0ef6f45b34d099874bf42ba98f14f2439af06c Mon Sep 17 00:00:00 2001
From: Chiara Marmo <chiara.marmo@inria.fr>
Date: Thu, 7 Nov 2019 13:25:10 +0100
Subject: [PATCH] Fix some new sphinx warnings.

---
 doc/modules/compose.rst              | 26 +++++++++++++-------------
 doc/whats_new/v0.22.rst              |  5 ++---
 sklearn/mixture/_bayesian_mixture.py |  4 ++--
 3 files changed, 17 insertions(+), 18 deletions(-)

diff --git a/doc/modules/compose.rst b/doc/modules/compose.rst
index 5a41a14154b1e..8145cdef984bb 100644
--- a/doc/modules/compose.rst
+++ b/doc/modules/compose.rst
@@ -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.
diff --git a/doc/whats_new/v0.22.rst b/doc/whats_new/v0.22.rst
index 525ae77311064..dc3afeb4ed96f 100644
--- a/doc/whats_new/v0.22.rst
+++ b/doc/whats_new/v0.22.rst
@@ -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
@@ -907,4 +906,4 @@ These changes mostly affect library developers.
 
 - |Fix| The estimators tags resolution now follows the regular MRO. They used
   to be overridable only once. :pr:`14884` by :user:`Andreas Müller
-  <amueller>`.
\ No newline at end of file
+  <amueller>`.
diff --git a/sklearn/mixture/_bayesian_mixture.py b/sklearn/mixture/_bayesian_mixture.py
index 4438387e055fd..cecbb0f36a201 100644
--- a/sklearn/mixture/_bayesian_mixture.py
+++ b/sklearn/mixture/_bayesian_mixture.py
@@ -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).