DOC Ensures that RFE passes numpydoc validation (#20419)

jaglima · ogrisel · web-flow · commit e59a6c0a5a82 · 2021-06-30T00:29:24.000+02:00
Co-authored-by: Olivier Grisel &lt;olivier.grisel@ensta.org&gt;
diff --git a/sklearn/feature_selection/_rfe.py b/sklearn/feature_selection/_rfe.py
@@ -324,6 +324,12 @@ def score(self, X, y):
 
         y : array of shape [n_samples]
             The target values.
+
+        Returns
+        -------
+        score : float
+            Score of the underlying base estimator computed with the selected
+            features returned by `rfe.transform(X)` and `y`.
         """
         check_is_fitted(self)
         return self.estimator_.score(self.transform(X), y)
