Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/15212
  
    **[Test build #65972 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65972/consoleFull)**
 for PR 15212 at commit 
[`27aead9`](https://github.com/apache/spark/commit/27aead95b52ba822b7817a71886be3a2b30a9033).
     * This patch **fails Python style tests**.
     * This patch merges cleanly.
     * This patch adds the following public classes _(experimental)_:
      * `        // ('scaled' = +Infinity). However in the case that this class 
also has`
      * `        // 0 probability, the class will not be selected ('scaled' is 
NaN).`
      * `  final val thresholds: DoubleArrayParam = new DoubleArrayParam(this, 
\"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 excepting that at most one value may be 0. 
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\", (t: Array[Double]) 
=> t.forall(_ >= 0) && t.count(_ == 0) <= 1)`
      * `    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, 
excepting that at most one value may be 0. 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)`
      * `case class SortOrder(child: Expression, direction: SortDirection, 
nullOrdering: NullOrdering)`
      * `trait Offset extends Serializable `


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