DOC Ensures that GaussianMixture passes numpydoc validation (scikit-learn#20949)

jmloyola · web-flow · commit a122ad7bcea8 · 2021-09-06T11:28:23.000+02:00
diff --git a/maint_tools/test_docstrings.py b/maint_tools/test_docstrings.py
@@ -13,7 +13,6 @@
     "FeatureUnion",
     "FunctionTransformer",
     "GammaRegressor",
-    "GaussianMixture",
     "GaussianProcessRegressor",
     "GaussianRandomProjection",
     "GridSearchCV",
diff --git a/sklearn/mixture/_gaussian_mixture.py b/sklearn/mixture/_gaussian_mixture.py
@@ -610,6 +610,11 @@ class GaussianMixture(BaseMixture):
 
         .. versionadded:: 1.0
 
+    See Also
+    --------
+    BayesianGaussianMixture : Gaussian mixture model fit with a variational
+        inference.
+
     Examples
     --------
     >>> import numpy as np
@@ -621,11 +626,6 @@ class GaussianMixture(BaseMixture):
            [ 1.,  2.]])
     >>> gm.predict([[0, 0], [12, 3]])
     array([1, 0])
-
-    See Also
-    --------
-    BayesianGaussianMixture : Gaussian mixture model fit with a variational
-        inference.
     """
 
     def __init__(
@@ -811,6 +811,7 @@ def bic(self, X):
         Parameters
         ----------
         X : array of shape (n_samples, n_dimensions)
+            The input samples.
 
         Returns
         -------
@@ -827,6 +828,7 @@ def aic(self, X):
         Parameters
         ----------
         X : array of shape (n_samples, n_dimensions)
+            The input samples.
 
         Returns
         -------
