Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9829#issuecomment-157942418
**[Test build #46288 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/46288/consoleFull)**
for PR 9829 at commit
[`f042948`](https://github.com/apache/spark/commit/f042948ffd19c5a61cdb5c269d169f1f7671f56e).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:\n *
`public final class UnsafeSorterSpillReader extends UnsafeSorterIterator
implements Closeable `\n * `class Pipeline(override val uid: String) extends
Estimator[PipelineModel] with MLWritable `\n * ` class
LogisticRegressionModelWriter(instance: LogisticRegressionModel)`\n * ` class
CountVectorizerModelWriter(instance: CountVectorizerModel) extends MLWriter `\n
* `final class IDF(override val uid: String) extends Estimator[IDFModel] with
IDFBase`\n * ` class MinMaxScalerModelWriter(instance: MinMaxScalerModel)
extends MLWriter `\n * `class SQLTransformer @Since(\"1.6.0\") (override val
uid: String) extends Transformer`\n * ` class
StandardScalerModelWriter(instance: StandardScalerModel) extends MLWriter `\n
* ` class StringIndexModelWriter(instance: StringIndexerModel) extends
MLWriter `\n * `class ALS(override val uid: String) extends
Estimator[ALSModel] with ALSParams`\n * `abstract class MLWri
ter extends BaseReadWrite with Logging `\n * `trait MLWritable `\n *
`abstract class MLReader[T] extends BaseReadWrite `\n * `trait MLReadable[T]
`\n * `trait ScalaReflection `\n * ` case class Schema(dataType: DataType,
nullable: Boolean)`\n * ` s\"Unable to generate an encoder for
inner class `$`\n * `case class EncodeUsingSerializer(child: Expression, kryo:
Boolean) extends UnaryExpression `\n * `case class
DecodeUsingSerializer[T](child: Expression, tag: ClassTag[T], kryo: Boolean)`\n
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