Linear Regression Full Pipeline Code Snippet

lin_reg_full_pipeline.py

### code snippet ####
from sklearn.linear_model import LinearRegression

lin_reg_full_pipeline = Pipeline(
    steps=[
        ('preprocessor', preprocessor),
        ('lin_reg', LinearRegression()),
    ]
)

# use named_steps[] to access any step in your pipeline
lin_reg_full_pipeline.fit(X, y) # train the model using all training data
print(lin_reg_full_pipeline.named_steps['lin_reg'].intercept_, lin_reg_full_pipeline.named_steps['lin_reg'].coef_)