Scalable_Pipeline_Article

Processor_and_pipe.py

# Using ColumnTransformer and Selector to choose which columns to use
preprocessor = ColumnTransformer([
        ('cat', cat_pipe, Selector(dtype_exclude=np.number)),
        ('num', num_pipe, Selector(dtype_include=np.number))
        ])

# Combining the processor with a model for a happy ending :) 
full_pipe = Pipeline(steps=[
    ('features', preprocessor),
    ('model', SVC())
])