Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/15149
  
    **[Test build #65647 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65647/consoleFull)**
 for PR 15149 at commit 
[`175d084`](https://github.com/apache/spark/commit/175d084e5dc1e2bfc7fff28daad8d867c53ed3e7).
     * This patch **fails Spark unit tests**.
     * This patch merges cleanly.
     * This patch adds the following public classes _(experimental)_:
      * `   * and sum in (0,1]. The class with largest value p/t is predicted, 
where p is the original`
      * `   * is largest. A class may be selected even if this ratio is less 
than 1 (that is, the class`
      * `         \"values > 0 and sum in (0,1]. The class with largest value 
p/t is predicted, where p \" +`
      * `    values > 0 and sum in (0,1]. The class with largest value p/t is 
predicted, where p is the`
      * `    thresholds = Param(Params._dummy(), \"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 and sum 
in (0,1]. The class with largest value p/t is predicted, where p is the 
original probability of that class and t is the class's threshold.\", 
typeConverter=TypeConverters.toListFloat)`


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