910adfb9b78ee60d9162a575fd068744a282f294,pdpipe/core.py,PdPipeline,apply,#PdPipeline#,385
Before Change
inter_df = df
for stage in self._stages:
inter_df = stage.apply(inter_df, exraise, verbose)
return inter_df
def fit_transform(self, X, y=None, exraise=None, verbose=None):
Fits this pipeline and transforms the input dataframe.
After Change
def apply(self, df, exraise=None, verbose=False):
if self.is_fitted:
return self.transform(X=df, exraise=None, verbose=verbose)
return self.fit_transform(X=df, exraise=exraise, verbose=verbose)
def fit_transform(self, X, y=None, exraise=None, verbose=None):
Fits this pipeline and transforms the input dataframe.

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: shaypal5/pdpipe
Commit Name: 910adfb9b78ee60d9162a575fd068744a282f294
Time: 2020-01-26
Author: shaypal5@gmail.com
File Name: pdpipe/core.py
Class Name: PdPipeline
Method Name: apply
Project Name: scikit-optimize/scikit-optimize
Commit Name: f9ec0e8cbca615581ac819b94087aaee893bb6d9
Time: 2016-06-01
Author: betatim@gmail.com
File Name: skopt/parameter.py
Class Name: Distribution
Method Name: transform
Project Name: ncullen93/torchsample
Commit Name: 15ac1c2bb2627bb8fbb89b0b64709e9a50be02fd
Time: 2017-05-13
Author: ncullen.th@dartmouth.edu
File Name: torchsample/transforms/tensor_transforms.py
Class Name: Compose
Method Name: __call__