c

com.microsoft.azure.synapse.ml.lightgbm

BasePartitionTask

abstract class BasePartitionTask extends Serializable with Logging

Class for handling the execution of Tasks on workers for each partition. Only runs on worker Tasks.

Linear Supertypes
Logging, Serializable, Serializable, AnyRef, Any
Known Subclasses
BulkPartitionTask, StreamingPartitionTask
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Instance Constructors

  1. new BasePartitionTask()

Abstract Value Members

  1. abstract 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
  2. abstract 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
  3. abstract 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

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  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
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. def determineMatrixType(ctx: PartitionTaskContext, inputRows: Iterator[Row]): PeekingIterator[Row]
    Attributes
    protected
  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]
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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
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. 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
  15. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  16. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  19. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  21. def logDebug(msg: ⇒ String): Unit
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    protected
    Definition Classes
    Logging
  22. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  23. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  24. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  26. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  27. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  28. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  29. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  30. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. 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).

  32. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  33. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  34. final def notifyAll(): Unit
    Definition Classes
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    @native()
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  36. def toString(): String
    Definition Classes
    AnyRef → Any
  37. final def wait(): Unit
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    @throws( ... )
  38. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  39. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()

Inherited from Logging

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