Pipeline(steps=[('encode_devices', StateVectorEncoder()), ('fit_labels', TrainOrEvalOnlyWrapperLabelEncoder(wr=LabelEncoder())), ('feature_extraction', 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_en...), ('select_val_set', ), ('drop_time_idx', ), ('drop_duplicates', ), ('classifier', RandomForestClassifier(random_state=42))])
StateVectorEncoder()
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)