Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8498#issuecomment-135878455
[Test build #41757 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41757/console)
for PR 8498 at commit
[`f8efdcc`](https://github.com/apache/spark/commit/f8efdcc6aa630f676fed2e17287f2e9bbbf278ed).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* ` * *(Breaking change)* The `apply` and `copy` methods for the case
class
[`BoostingStrategy`](api/scala/index.html#org.apache.spark.mllib.tree.configuration.BoostingStrategy)
have been changed because of a modification to the case class fields. This
could be an issue for users who use `BoostingStrategy` to set GBT parameters.`
* `* *(Breaking change)* The return value of
[`LDA.run`](api/scala/index.html#org.apache.spark.mllib.clustering.LDA) has
changed. It now returns an abstract class `LDAModel` instead of the concrete
class `DistributedLDAModel`. The object of type `LDAModel` can still be cast
to the appropriate concrete type, which depends on the optimization algorithm.`
* `* The `scoreCol` output column (with default value "score") was
renamed to be `probabilityCol` (with default value "probability"). The type
was originally `Double` (for the probability of class 1.0), but it is now
`Vector` (for the probability of each class, to support multiclass
classification in the future).`
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