Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8180#issuecomment-139929476
[Test build #42385 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/42385/console)
for PR 8180 at commit
[`8bfce4d`](https://github.com/apache/spark/commit/8bfce4d674cc0aa88c67d4defff054fc41216681).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `class ShuffleDependency[K: ClassTag, V: ClassTag, C: ClassTag](`
* `case class ExecutorLostFailure(execId: String, isNormalExit: Boolean =
false)`
* `class CoGroupedRDD[K: ClassTag](`
* `class ShuffledRDD[K: ClassTag, V: ClassTag, C: ClassTag](`
* `class ExecutorLossReason(val message: String) extends Serializable `
* `case class ExecutorExited(exitCode: Int, isNormalExit: Boolean,
reason: String)`
* ` case class RemoveExecutor(executorId: String, reason:
ExecutorLossReason)`
* ` case class GetExecutorLossReason(executorId: String) extends
CoarseGrainedClusterMessage`
* `class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredictionCol,`
* `class MultilayerPerceptronClassificationModel(JavaModel):`
* `class MinMaxScaler(JavaEstimator, HasInputCol, HasOutputCol):`
* `class MinMaxScalerModel(JavaModel):`
* `class StringIndexer(JavaEstimator, HasInputCol, HasOutputCol,
HasHandleInvalid):`
* ` ("thresholds", "Thresholds in multi-class classification to
adjust the probability of " +`
* `class HasHandleInvalid(Params):`
* `class HasElasticNetParam(Params):`
* `class HasFitIntercept(Params):`
* `class HasStandardization(Params):`
* `class HasThresholds(Params):`
* ` 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.")`
* ` self.thresholds = Param(self, "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.")`
* `case class Stddev(child: Expression) extends StddevAgg(child) `
* `case class StddevPop(child: Expression) extends StddevAgg(child) `
* `case class StddevSamp(child: Expression) extends StddevAgg(child) `
* `abstract class StddevAgg(child: Expression) extends AlgebraicAggregate
`
* `abstract class StddevAgg1(child: Expression) extends UnaryExpression
with PartialAggregate1 `
* `case class Stddev(child: Expression) extends StddevAgg1(child) `
* `case class StddevPop(child: Expression) extends StddevAgg1(child) `
* `case class StddevSamp(child: Expression) extends StddevAgg1(child) `
* `case class ComputePartialStd(child: Expression) extends
UnaryExpression with AggregateExpression1 `
* `case class ComputePartialStdFunction (`
* `case class MergePartialStd(`
* `case class MergePartialStdFunction(`
* `case class StddevFunction(`
* `case class ConvertToSafeNode(conf: SQLConf, child: LocalNode) extends
UnaryLocalNode(conf) `
* `case class ConvertToUnsafeNode(conf: SQLConf, child: LocalNode)
extends UnaryLocalNode(conf) `
* `case class FilterNode(conf: SQLConf, condition: Expression, child:
LocalNode)`
* `case class HashJoinNode(`
* `case class IntersectNode(conf: SQLConf, left: LocalNode, right:
LocalNode)`
* `case class LimitNode(conf: SQLConf, limit: Int, child: LocalNode)
extends UnaryLocalNode(conf) `
* `abstract class LocalNode(conf: SQLConf) extends TreeNode[LocalNode]
with Logging `
* `abstract class LeafLocalNode(conf: SQLConf) extends LocalNode(conf) `
* `abstract class UnaryLocalNode(conf: SQLConf) extends LocalNode(conf) `
* `abstract class BinaryLocalNode(conf: SQLConf) extends LocalNode(conf) `
* `case class ProjectNode(conf: SQLConf, projectList:
Seq[NamedExpression], child: LocalNode)`
* `case class SampleNode(`
* `case class SeqScanNode(conf: SQLConf, output: Seq[Attribute], data:
Seq[InternalRow])`
* `case class TakeOrderedAndProjectNode(`
* `case class UnionNode(conf: SQLConf, children: Seq[LocalNode]) extends
LocalNode(conf) `
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
