Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/12919#discussion_r62202569
--- Diff: python/pyspark/ml/regression.py ---
@@ -743,6 +743,18 @@ def treeWeights(self):
"""Return the weights for each tree"""
return list(self._call_java("javaTreeWeights"))
+ @property
--- End diff --
This question applies to Scala API as well. Partly, I think, because in the
Scala API things were done incrementally. But also because there may be some
hope in the future that more predictors provide feature importances, and then
it could be an abstract method in the `Predictor` class instead. I don't know
that there's a better reason.
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