Scikit-learn 5. Hands-on python scikit-learn: using pipelines.

Pipeline is a way to shorten the code and make it simpler.

>>> from sklearn.model_selection import train_test_split

>>> from sklearn.ensemble import RandomForestRegressor

>>> from sklearn.preprocessing import Imputer

>>> from sklearn.pipeline import make_pipeline

>>>

>>> test_pipeline = make_pipeline(Imputer(), RandomForestRegressor())

>>> # as you see imputation is done automatically

>>> test_pipeline.fit(train_X,train_y) 

>>> predictions = test_pipeline.predict(test_X)