Feature Union example

preprocess_pipeline.py

def preprocess_pipeline():
    return FeatureUnion(
                transformer_list = [
                    ('date_features', Pipeline([
                        ('selector', get_date_data),
                        ('transform', transform_date_data)
                    ])),
                    ('numeric_features', Pipeline([
                        ('selector', get_numeric_data),
                        ('imputer', SimpleImputer()),
                    ])),
                    ('text_features', Pipeline([
                        ('selector', get_text_data),
                        ('vectorizer', OrdinalEncoder())
                    ]))
                 ]
            )