DOC make decomposition._fastica.fastica pass numpydoc validation (#23094)

gustavo-ren · web-flow · commit 54abff3764a5 · 2022-04-09T23:08:57.000+02:00
diff --git a/sklearn/decomposition/_fastica.py b/sklearn/decomposition/_fastica.py
@@ -214,7 +214,7 @@ def my_g(x):
     fun_args : dict, default=None
         Arguments to send to the functional form.
         If empty or None and if fun='logcosh', fun_args will take value
-        {'alpha' : 1.0}
+        {'alpha' : 1.0}.
 
     max_iter : int, default=200
         Maximum number of iterations to perform.
@@ -256,7 +256,7 @@ def my_g(x):
         if K is not None, else it is the inverse of W.
 
     S : ndarray of shape (n_samples, n_components) or None
-        Estimated source matrix
+        Estimated source matrix.
 
     X_mean : ndarray of shape (n_features,)
         The mean over features. Returned only if return_X_mean is True.
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -23,7 +23,6 @@
     "sklearn.datasets._svmlight_format_io.load_svmlight_files",
     "sklearn.decomposition._dict_learning.dict_learning",
     "sklearn.decomposition._dict_learning.dict_learning_online",
-    "sklearn.decomposition._fastica.fastica",
     "sklearn.decomposition._nmf.non_negative_factorization",
     "sklearn.externals._packaging.version.parse",
     "sklearn.feature_extraction.image.extract_patches_2d",
