Github user manishamde commented on a diff in the pull request:
https://github.com/apache/spark/pull/3320#discussion_r20618922
--- Diff: python/pyspark/mllib/tree.py ---
@@ -181,8 +180,191 @@ def trainRegressor(data, categoricalFeaturesInfo,
>>> model.predict(rdd).collect()
[1.0, 0.0]
"""
- return DecisionTree._train(data, "regression", 0,
categoricalFeaturesInfo,
- impurity, maxDepth, maxBins,
minInstancesPerNode, minInfoGain)
+ return cls._train(data, "regression", 0, categoricalFeaturesInfo,
+ impurity, maxDepth, maxBins,
minInstancesPerNode, minInfoGain)
+
+
+class WeightedEnsembleModel(JavaModelWrapper):
--- End diff --
Yes. Let's make it internal for now. We still need to figure out how to
handle it with the new MLlib API so it's better not to expose it yet.
We will have to implement GradientBoostingModel class then that extends
WeightedEnsembleModel.
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