API: use get_feature_names_out from new sklearn if possible

mne_features/feature_extraction.py

@@ -116,6 +116,10 @@ def get_feature_names(self):
         else:
             return np.arange(self.output_shape_).astype(str)
 
+    def get_feature_names_out(self, input_features=None):
+        """Mapping of the feature indices to feature names."""
+        return self.get_feature_names()
+
     def get_params(self, deep=True):
         """Get the parameters (if any) of the given feature function.
 
@@ -219,7 +223,10 @@ def _apply_extractor(extractor, X, ch_names, return_as_df):
     X = extractor.fit_transform(X)
     feature_names = None
     if return_as_df:
-        feature_names = extractor.get_feature_names()
+        if hasattr(extractor, 'get_feature_names_out'):
+            feature_names = extractor.get_feature_names_out()
+        else:
+            feature_names = extractor.get_feature_names()
         if ch_names is not None:  # rename channels
             mapping = {'ch%s' % i: ch_name
                        for i, ch_name in enumerate(ch_names)}