No warning about FSTRs after training with text features
@@ -1693,8 +1693,7 @@ class CatBoost(_CatBoostBase):
if loss and is_groupwise_metric(loss):
pass # too expensive
elif len(self.get_text_feature_indices()) > 0:
- warnings.warn("Feature importances is not implemented for text features, fstr's will be empty")
- pass
+ pass # is not implemented yet
else:
if not self._object._has_leaf_weights_in_model():
if allow_clear_pool:
