Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/9581#issuecomment-157669846
  
    **[Test build #46205 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/46205/consoleFull)**
 for PR 9581 at commit 
[`d1a4379`](https://github.com/apache/spark/commit/d1a4379e63f0d665af5ef884ccf4e8591af08cfd).
     * This patch passes all tests.
     * This patch merges cleanly.
     * This patch adds the following public classes _(experimental)_:\n  * 
`public class JavaGradientBoostedTreeClassifierExample `\n  * `public class 
JavaGradientBoostedTreeRegressorExample `\n  * `public class 
JavaRandomForestClassifierExample `\n  * `public class 
JavaRandomForestRegressorExample `\n  * `    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.\", str)`\n  * `        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.\", str)`\n  * `    thresholds = Param(Params._dummy(), 
\"thresholds\", \"Thresholds in multi-class classification to adjust the pro
 bability of predicting each class. Array must have length equal to the number 
of classes, with values >= 0. The class with largest value p/t is predicted, 
where p is the original probability of that class and t is the class' 
threshold.\", None)`\n  * `        self.thresholds = Param(self, 
\"thresholds\", \"Thresholds in multi-class classification to adjust the 
probability of predicting each class. Array must have length equal to the 
number of classes, with values >= 0. The class with largest value p/t is 
predicted, where p is the original probability of that class and t is the 
class' threshold.\", None)`\n  * `case class SerializeWithKryo(child: 
Expression) extends UnaryExpression `\n  * `case class 
DeserializeWithKryo[T](child: Expression, tag: ClassTag[T]) extends 
UnaryExpression `\n  * `public final class UTF8String implements 
Comparable<UTF8String>, Externalizable, KryoSerializable `\n


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