srowen commented on a change in pull request #23818:
[SPARK-19591][ML][PYSPARK][FOLLOWUP] Add sample weights to decision trees
URL: https://github.com/apache/spark/pull/23818#discussion_r259387137
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File path: python/pyspark/ml/regression.py
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@@ -791,19 +792,34 @@ class DecisionTreeRegressor(JavaEstimator,
HasFeaturesCol, HasLabelCol, HasPredi
>>> model.transform(test1).head().variance
0.0
+ >>> df3 = spark.createDataFrame([
Review comment:
I guess I mean should we maintain an example without weights too? that might
be the more common case. They don't both have to print depth, numNodes, etc.
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