When using GridSearchCV with random forests, is there a way to get the
feature_importances_?
For example, with a code like this
parameters = { <some_parameters> }
clf = grid_search.GridSearchCV(RandomForestClassifier(),
param_grid=parameters)
clf.fit(X, y)
the object clf will not have feature_importances_. Is that embedded in
best_estimator?
Thank you,
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