Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8214#issuecomment-146050436
[Test build #43309 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/43309/console)
for PR 8214 at commit
[`9d5a8d5`](https://github.com/apache/spark/commit/9d5a8d5484206ca60c617a609ebd1964cb60ba74).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* ` probabilityCol = Param(Params._dummy(), "probabilityCol", "Column
name for predicted class conditional probabilities.Note: Not all models output
well-calibrated probability estimates! These probabilities should be treated as
confidences, not precise probabilities.")`
* ` self.probabilityCol = Param(self, "probabilityCol", "Column
name for predicted class conditional probabilities.Note: Not all models output
well-calibrated probability estimates! These probabilities should be treated as
confidences, not precise probabilities.")`
* `class HasWeightCol(Params):`
* `class IsotonicRegression(JavaEstimator, HasFeaturesCol, HasLabelCol,
HasPredictionCol,`
* `class IsotonicRegressionModel(JavaModel):`
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