Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/3951#discussion_r23500733
--- Diff: python/pyspark/mllib/tree.py ---
@@ -24,7 +24,41 @@
from pyspark.mllib.linalg import _convert_to_vector
from pyspark.mllib.regression import LabeledPoint
-__all__ = ['DecisionTreeModel', 'DecisionTree', 'RandomForestModel',
'RandomForest']
+__all__ = ['TreeEnsembleModel', 'DecisionTreeModel', 'DecisionTree',
'RandomForestModel',
+ 'RandomForest', 'GradientBoostedTrees']
+
+
+class TreeEnsembleModel(JavaModelWrapper):
+ def predict(self, x):
+ """
+ Predict values for a single data point or an RDD of points using
+ the model trained.
+ """
+ if isinstance(x, RDD):
+ return self.call("predict", x.map(_convert_to_vector))
+
+ else:
+ return self.call("predict", _convert_to_vector(x))
+
+ def numTrees(self):
+ """
+ Get number of trees in forest.
--- End diff --
"forest" --> "ensemble"
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