FeatureTransformer

from eflow.data_pipeline_segments.feature_transformer import FeatureTransformer

class FeatureTransformer(segment_id=None, create_file=True)

Combines, removes, scales, etc features of a pandas dataframe.

remove_features(df, df_features, feature_names, _add_to_que=True)

Removes unwanted features from the dataframe and saves them to the pipeline segment structure if _add_to_que is set to True.

Args:

df:

Pandas Dataframe to update.

df_features:

DataFrameTypes object to update.

feature_names:

Features to remove

_add_to_que:

Pushes the function to pipeline segment parent if set to ‘True’.