Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/9912#discussion_r55147865
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/DecisionTreeClassifier.scala
---
@@ -169,6 +169,20 @@ final class DecisionTreeClassificationModel
private[ml] (
s"DecisionTreeClassificationModel (uid=$uid) of depth $depth with
$numNodes nodes"
}
+ /**
+ * 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.
--- End diff --
I added a note in the docs for `DecisionTreeRegressor` and
`DecisionTreeClassifier`. I can update the format or the wording if needed.
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