Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6897#issuecomment-113702362
[Test build #35347 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/35347/console)
for PR 6897 at commit
[`4bf26d6`](https://github.com/apache/spark/commit/4bf26d689fefae0566bdd2c5cd95213cf2bbebfd).
* 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.`
* ` * In `DecisionTree`, the deprecated class method `train` has been
removed. (The object/static `train` methods remain.)`
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