9da9c8edd24bede6eeeeea8739835ea53ca58cbc,category_encoders/one_hot.py,OneHotEncoder,reverse_dummies,#OneHotEncoder#,293
Before Change
val = tran_col[prefix_length:]
X.loc[X[tran_col] == 1, col] = val
else:
value_array = np.array([int(col0[prefix_length:]) for col0 in col_list])
X[col] = np.dot(X[col_list].values, value_array.T)
out_cols = [col0 for col0 in out_cols if col0 not in col_list]
X = X.reindex(columns=out_cols + cols)
After Change
out_cols = X.columns.values
cols = []
mapped_columns = []
for switch in mapping:
col = switch.get("col")
mod = switch.get("mapping")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: scikit-learn-contrib/categorical-encoding
Commit Name: 9da9c8edd24bede6eeeeea8739835ea53ca58cbc
Time: 2018-10-21
Author: jcastaldo08@gmail.com
File Name: category_encoders/one_hot.py
Class Name: OneHotEncoder
Method Name: reverse_dummies
Project Name: tiberiu44/TTS-Cube
Commit Name: 2c6ce0ebfa9537246878e8fb9144e0c879fca17d
Time: 2018-10-22
Author: tibi@racai.ro
File Name: cube/models/vocoder.py
Class Name: BeeCoder
Method Name: __init__
Project Name: eriklindernoren/PyTorch-YOLOv3
Commit Name: 9b0a0dd6fe7b4ac021d91acc6b4f96b403dd6b67
Time: 2019-04-26
Author: eriklindernoren@live.se
File Name: models.py
Class Name: Darknet
Method Name: forward