6c9a011eff3839ede31637b43cddc281a7371d2c,featuretools/computational_backends/pandas_backend.py,PandasBackend,calculate_all_features,#PandasBackend#Any#Any#Any#Any#Any#Any#Any#,47
Before Change
// input is the full set of instances since
// dependent feature needs all the values
output_frames.append(large_entity_frames)
if uses_full_entity_type != "dependent":
// input was selected (small) set of instances, or
// feature itself is an output,
// so need to place result
// in selected (small) output frame
output_frames.append(entity_frames)
for frames in output_frames:
index = frames[entity_id].index
// If result_frame came from a uses_full_entity feature,
// and the input was large_entity_frames,
After Change
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]],
axis=1)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: Featuretools/featuretools
Commit Name: 6c9a011eff3839ede31637b43cddc281a7371d2c
Time: 2018-03-14
Author: benjaminschreck93@gmail.com
File Name: featuretools/computational_backends/pandas_backend.py
Class Name: PandasBackend
Method Name: calculate_all_features
Project Name: aertslab/pySCENIC
Commit Name: 1433eb7ca0d16cbb0dcaf0a54de2eb06654c8749
Time: 2018-04-05
Author: vandesande.bram@gmail.com
File Name: src/pyscenic/rnkdb.py
Class Name: InvertedRankingDatabase
Method Name: load
Project Name: etal/cnvkit
Commit Name: c034a486630d90544beb2f42cc05e796e2973138
Time: 2015-06-17
Author: eric.talevich@gmail.com
File Name: cnvlib/fix.py
Class Name:
Method Name: match_ref_to_probes