DOC Ensure All Attributes are Documented: OAS: location_ added (scikit-learn#17163)

hhnnhh · adrinjalali · commit 4c59a5fcc4bf · 2020-05-12T10:43:26.000+02:00
diff --git a/sklearn/covariance/_shrunk_covariance.py b/sklearn/covariance/_shrunk_covariance.py
@@ -82,12 +82,12 @@ class ShrunkCovariance(EmpiricalCovariance):
 
     Attributes
     ----------
-    location_ : ndarray of shape (n_features,)
-        Estimated location, i.e. the estimated mean.
-
     covariance_ : ndarray of shape (n_features, n_features)
         Estimated covariance matrix
 
+    location_ : ndarray of shape (n_features,)
+        Estimated location, i.e. the estimated mean.
+
     precision_ : ndarray of shape (n_features, n_features)
         Estimated pseudo inverse matrix.
         (stored only if store_precision is True)
@@ -344,12 +344,12 @@ class LedoitWolf(EmpiricalCovariance):
 
     Attributes
     ----------
-    location_ : ndarray of shape (n_features,)
-        Estimated location, i.e. the estimated mean.
-
     covariance_ : ndarray of shape (n_features, n_features)
         Estimated covariance matrix.
 
+    location_ : ndarray of shape (n_features,)
+        Estimated location, i.e. the estimated mean.
+
     precision_ : ndarray of shape (n_features, n_features)
         Estimated pseudo inverse matrix.
         (stored only if store_precision is True)
@@ -526,6 +526,9 @@ class OAS(EmpiricalCovariance):
     covariance_ : ndarray of shape (n_features, n_features)
         Estimated covariance matrix.
 
+    location_ : ndarray of shape (n_features,)
+        Estimated location, i.e. the estimated mean.
+
     precision_ : ndarray of shape (n_features, n_features)
         Estimated pseudo inverse matrix.
         (stored only if store_precision is True)
diff --git a/sklearn/tests/test_docstring_parameters.py b/sklearn/tests/test_docstring_parameters.py
@@ -239,7 +239,7 @@ def test_fit_docstring_attributes(name, Estimator):
                'MiniBatchKMeans', 'MLPClassifier', 'MLPRegressor',
                'MultiTaskElasticNet', 'MultiTaskElasticNetCV',
                'MultiTaskLasso', 'MultiTaskLassoCV', 'NearestNeighbors',
-               'NuSVR', 'OAS', 'OneClassSVM', 'OrthogonalMatchingPursuit',
+               'NuSVR', 'OneClassSVM', 'OrthogonalMatchingPursuit',
                'PLSCanonical', 'PLSRegression', 'PLSSVD',
                'PassiveAggressiveClassifier', 'Perceptron', 'RBFSampler',
                'RadiusNeighborsClassifier', 'RadiusNeighborsRegressor',
