Pipeline(steps=[('encode_devices', BinaryEncoder()),
('fit_labels',
TrainOrEvalOnlyWrapperLabelEncoder(wr=LabelEncoder())),
('feature_extraction',
FeatureUnion(skip_attr_list=['skip_day_of_week',
'skip_time_bin',
'skip_pass_through'],
transformer_list=[('day_of_week',
DayOfWeekExtractor(one_hot_encoding=True)),
('time_bin',
TimeBinExtractor(one_hot_encodin...
('drop_time_idx',
),
('drop_duplicates',
),
('classifier', RandomForestClassifier(random_state=42))])
BinaryEncoder()
TrainOrEvalOnlyWrapperLabelEncoder(wr=LabelEncoder())
LabelEncoder()
FeatureUnionABC(skip_attr_list=['skip_day_of_week', 'skip_time_bin',
'skip_pass_through'],
transformer_list=[('day_of_week',
DayOfWeekExtractor(one_hot_encoding=True)),
('time_bin',
TimeBinExtractor(one_hot_encoding=True)),
('pass_through', IdentityTransformer())])DayOfWeekExtractor(one_hot_encoding=True)
TimeBinExtractor(one_hot_encoding=True)
IdentityTransformer()
RandomForestClassifier(random_state=42)