Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14897
**[Test build #65923 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65923/consoleFull)**
for PR 14897 at commit
[`98d201b`](https://github.com/apache/spark/commit/98d201b71c5899d59ee3a63f0f153e70f9545308).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `class SparkContext(config: SparkConf) extends Logging `
* ` // ('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)`
* ` case class FileEntry(path: String, timestamp: Timestamp, batchId:
Long) extends Serializable`
* `trait Offset extends Serializable `
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