How to extract feature importances from an Sklearn pipeline

Question

I\'ve built a pipeline in Scikit-Learn with two steps: one to construct features, and the second is a RandomForestClassifier.

While I can save that pipeline, look at

Answer 1

Ah, yes it is.

You list identify the step where you want to check the estimator:

For instance:

pipeline.steps[1]

Which returns:

('predictor',
 RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
             max_depth=None, max_features='auto', max_leaf_nodes=None,
             min_samples_leaf=1, min_samples_split=2,
             min_weight_fraction_leaf=0.0, n_estimators=50, n_jobs=2,
             oob_score=False, random_state=None, verbose=0,
             warm_start=False))

You can then access the model step directly:

pipeline.steps[1][1].feature_importances_