MAINT solve long line reported by flake8 (#24065)

glemaitre · glemaitre · commit d1de67341734 · 2022-08-05T14:58:55.000+02:00
diff --git a/sklearn/datasets/_base.py b/sklearn/datasets/_base.py
@@ -346,7 +346,7 @@ def load_gzip_compressed_csv_data(
     encoding="utf-8",
     **kwargs,
 ):
-    """Loads gzip-compressed `data_file_name` from `data_module` with `importlib.resources`.
+    """Loads gzip-compressed with `importlib.resources`.
 
     1) Open resource file with `importlib.resources.open_binary`
     2) Decompress file obj with `gzip.open`
diff --git a/sklearn/feature_selection/_rfe.py b/sklearn/feature_selection/_rfe.py
@@ -333,7 +333,7 @@ def _fit(self, X, y, step_score=None, **fit_params):
 
     @available_if(_estimator_has("predict"))
     def predict(self, X):
-        """Reduce X to the selected features and then predict using the underlying estimator.
+        """Reduce X to the selected features and predict using the estimator.
 
         Parameters
         ----------
@@ -350,7 +350,7 @@ def predict(self, X):
 
     @available_if(_estimator_has("score"))
     def score(self, X, y, **fit_params):
-        """Reduce X to the selected features and return the score of the underlying estimator.
+        """Reduce X to the selected features and return the score of the estimator.
 
         Parameters
         ----------
@@ -448,7 +448,7 @@ def _more_tags(self):
 
 
 class RFECV(RFE):
-    """Recursive feature elimination with cross-validation to select the number of features.
+    """Recursive feature elimination with cross-validation to select features.
 
     See glossary entry for :term:`cross-validation estimator`.
 
