Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/12056#discussion_r57909234
--- Diff: python/pyspark/ml/classification.py ---
@@ -500,16 +500,12 @@ def featureImportances(self):
"""
Estimate of the importance of each feature.
- This generalizes the idea of "Gini" importance to other losses,
- following the explanation of Gini importance from "Random Forests"
documentation
- by Leo Breiman and Adele Cutler, and following the implementation
from scikit-learn.
+ Each feature's importance is the average of its importance across
all trees in the ensemble
--- End diff --
It was update in the PR I linked to above, so everything should be in sync.
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