Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11663#issuecomment-198012665
**[Test build #53446 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/53446/consoleFull)**
for PR 11663 at commit
[`c483da8`](https://github.com/apache/spark/commit/c483da8a6b1c305a96ce2a4a25ac8a0a1f98e653).
* This patch **fails to build**.
* 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.\",
typeConverter=TypeConverters.toString)`
* ` 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.
The class with largest value p/t is predicted, where p is the original
probability of that class and t is the class' threshold.\",
typeConverter=TypeConverters.toListFloat)`
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