Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1798#discussion_r15854238
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -300,6 +293,198 @@ object DecisionTree extends Serializable with Logging
{
new DecisionTree(strategy).train(input)
}
+ /**
+ * Method to train a decision tree model.
+ * The method supports binary and multiclass classification and
regression.
+ * This version takes basic types, for consistency with Python API.
--- End diff --
minor: To have consistency across different languages is not the only
purpose to add this method. Using easier types is also more user-friendly. I
would suggest removing `, for consistency with Python API` and add `We
recommend using trainClassifier and trainRegressor` in the doc of the previous
`train` method that takes `Algo` and `Impurtiy`.
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