f80b5ae1f55a979e24fd8afcea2c1fab280b0c70,featuretools/synthesis/encode_features.py,,encode_features,#Any#Any#Any#Any#Any#Any#Any#,7
Before Change
X.drop(f.get_name(), axis=1, inplace=True)
new_X = X[[e.get_name() for e in encoded] + extra_columns]
iterator = new_X.columns
if verbose:
iterator = make_tqdm_iterator(iterable=new_X.columns,
After Change
new_columns.extend(e.get_feature_names())
new_columns.extend(extra_columns)
new_X = X[new_columns]
iterator = new_X.columns
if verbose:
iterator = make_tqdm_iterator(iterable=new_X.columns,
total=len(new_X.columns),
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: Featuretools/featuretools
Commit Name: f80b5ae1f55a979e24fd8afcea2c1fab280b0c70
Time: 2019-01-18
Author: roy.wedge@gmail.com
File Name: featuretools/synthesis/encode_features.py
Class Name:
Method Name: encode_features
Project Name: Featuretools/featuretools
Commit Name: a725cacb4bfc27554d5012f317f516d2b71dbc55
Time: 2019-10-29
Author: 4307001+thehomebrewnerd@users.noreply.github.com
File Name: featuretools/computational_backends/feature_set_calculator.py
Class Name: FeatureSetCalculator
Method Name: _calculate_groupby_features
Project Name: Featuretools/featuretools
Commit Name: f80b5ae1f55a979e24fd8afcea2c1fab280b0c70
Time: 2019-01-18
Author: roy.wedge@gmail.com
File Name: featuretools/computational_backends/pandas_backend.py
Class Name: PandasBackend
Method Name: calculate_all_features