handler = self._feature_type_handler(test_feature)
result_frame = handler(group, input_frames)
output_frames = []
if uses_full_entity_type in ["dependent", "dependent_and_output"]:
// input is the full set of instances since
// dependent feature needs all the values
output_frames.append(large_entity_frames)
After Change
axis=1)
if output_frames_type in ["full_and_subset_entity_frames", "full_entity_frames"]:
index = large_entity_frames[entity_id].index
_result_frame = result_frame.reindex(index)
cols_to_keep = [c for c in _result_frame.columns
if c not in large_entity_frames[entity_id].columns]
large_entity_frames[entity_id] = pd.concat([large_entity_frames[entity_id],
_result_frame[cols_to_keep]],