Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

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3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def cleanupInternal(ctx: PartitionTaskContext): Unit

   Cleanup the task

   Cleanup the task

   ctx

   The training context.

   Attributes

   protected

   Definition Classes

   BasePartitionTask

6.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

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   Annotations

   @throws( ... ) @native()

7.  def determineMatrixType(ctx: PartitionTaskContext, inputRows: Iterator[Row]): PeekingIterator[Row]

   Attributes

   protected

   Definition Classes

   BasePartitionTask

8.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

9.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

10.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

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    @throws( classOf[java.lang.Throwable] )

11.  final def getClass(): Class[_]

    Definition Classes

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    @native()

12.  def getTaskContext(trainingCtx: TrainingContext, partitionId: Int, taskId: Long, measures: TaskInstrumentationMeasures, networkTopologyInfo: NetworkTopologyInfo, shouldExecuteTraining: Boolean, isEmptyPartition: Boolean, shouldReturnBooster: Boolean): PartitionTaskContext

    Initialize and customize the context for the task.

    Initialize and customize the context for the task.

    trainingCtx

    The training context information.

    partitionId

    The task context information.

    taskId

    The task context information.

    measures

    The task instrumentation measures.

    networkTopologyInfo

    Information about the network.

    shouldExecuteTraining

    Whether this task should participate in LightGBM training.

    isEmptyPartition

    Whether the partition has rows.

    shouldReturnBooster

    Whether the task should return a booster.

    returns

    The updated context information for the task.

    Attributes

    protected

    Definition Classes

    BasePartitionTask

13.  def getTrainingDatasetInternal(ctx: PartitionTaskContext, dataState: PartitionDataState): LightGBMDataset

    Generate the final training dataset for this task.

    Generate the final training dataset for this task. Internal implementation for specific execution modes.

    ctx

    The training context.

    dataState

    Any intermediate data state (used mainly by bulk execution mode).

    returns

    LightGBM dataset Java wrapper.

    Attributes

    protected

    Definition Classes

    StreamingPartitionTask → BasePartitionTask

14.  def getValidationDatasetInternal(ctx: PartitionTaskContext, dataState: PartitionDataState, referenceDataset: LightGBMDataset): LightGBMDataset

    Generate the final opt validation dataset for this task.

    Generate the final opt validation dataset for this task. Internal implementation for specific execution modes.

    ctx

    The training context.

    dataState

    Any intermediate data state (used mainly by bulk execution mode).

    referenceDataset

    A reference dataset to start with.

    returns

    LightGBM dataset Java wrapper.

    Attributes

    protected

    Definition Classes

    StreamingPartitionTask → BasePartitionTask

15.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

16.  def initializeInternal(ctx: TrainingContext, shouldExecuteTraining: Boolean, isEmptyPartition: Boolean): Unit

    Initialize and customize the context for the task.

    Initialize and customize the context for the task.

    ctx

    The task context information.

    returns

    The updated context information for the task.

    Attributes

    protected

    Definition Classes

    StreamingPartitionTask → BasePartitionTask

17.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    Attributes

    protected

    Definition Classes

    Logging

18.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes

    protected

    Definition Classes

    Logging

19.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

20.  def isTraceEnabled(): Boolean

    Attributes

    protected

    Definition Classes

    Logging

21.  def log: Logger

    Attributes

    protected

    Definition Classes

    Logging

22.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

23.  def logDebug(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

24.  def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

25.  def logError(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

26.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

27.  def logInfo(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

28.  def logName: String

    Attributes

    protected

    Definition Classes

    Logging

29.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

30.  def logTrace(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

31.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

32.  def logWarning(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

33.  def mapPartitionTask(ctx: TrainingContext)(inputRows: Iterator[Row]): Iterator[PartitionResult]

    This method will be passed to Spark's mapPartition method and handle execution of training on the workers.

    This method will be passed to Spark's mapPartition method and handle execution of training on the workers. Main stages: (and each execution mode has an "Internal" version to perform mode-specific operations) initialize() preparePartitionData() finalizeDatasetAndTrain() cleanup()

    ctx

    The training context.

    inputRows

    The Spark rows as an iterator.

    returns

    result iterator (to comply with Spark mapPartition API).

    Definition Classes

    BasePartitionTask

34.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

35.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

36.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

37.  def preparePartitionDataInternal(ctx: PartitionTaskContext, inputRows: Iterator[Row]): PartitionDataState

    Prepare any data objects for this particular partition.

    Prepare any data objects for this particular partition. Implement for specific execution modes.

    ctx

    The task context information.

    inputRows

    The Spark rows for a partition as an iterator.

    returns

    Any intermediate data state (used mainly by bulk execution mode) to pass to future stages.

    Attributes

    protected

    Definition Classes

    StreamingPartitionTask → BasePartitionTask

38.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

39.  def toString(): String

    Definition Classes

    AnyRef → Any

40.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

41.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

42.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

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    @throws( ... ) @native()