case class ExecutionParams(chunkSize: Int, matrixType: String, numThreads: Int, executionMode: String, microBatchSize: Int, useSingleDatasetMode: Boolean, maxStreamingOMPThreads: Int) extends ParamGroup with Product with Serializable

Defines parameters related to lightgbm execution in spark.

chunkSize

Advanced parameter to specify the chunk size for copying Java data to native.

matrixType

Advanced parameter to specify whether the native lightgbm matrix constructed should be sparse or dense.

numThreads

The number of threads to run the native lightgbm training with on each worker.

executionMode

How to execute the LightGBM training.

microBatchSize

The number of elements in a streaming micro-batch.

useSingleDatasetMode

Whether to create only 1 LightGBM Dataset on each worker.

maxStreamingOMPThreads

Maximum number of streaming mode OpenMP threads per Spark Task thread.

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Product, Equals, ParamGroup, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new ExecutionParams(chunkSize: Int, matrixType: String, numThreads: Int, executionMode: String, microBatchSize: Int, useSingleDatasetMode: Boolean, maxStreamingOMPThreads: Int)

    chunkSize

    Advanced parameter to specify the chunk size for copying Java data to native.

    matrixType

    Advanced parameter to specify whether the native lightgbm matrix constructed should be sparse or dense.

    numThreads

    The number of threads to run the native lightgbm training with on each worker.

    executionMode

    How to execute the LightGBM training.

    microBatchSize

    The number of elements in a streaming micro-batch.

    useSingleDatasetMode

    Whether to create only 1 LightGBM Dataset on each worker.

    maxStreamingOMPThreads

    Maximum number of streaming mode OpenMP threads per Spark Task thread.

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. def appendParams(sb: ParamsStringBuilder): ParamsStringBuilder
    Definition Classes
    ExecutionParams → ParamGroup
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. val chunkSize: Int
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. val executionMode: String
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. val matrixType: String
  14. val maxStreamingOMPThreads: Int
  15. val microBatchSize: Int
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. val numThreads: Int
  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  21. def toString(): String
    Definition Classes
    ParamGroup → AnyRef → Any
  22. val useSingleDatasetMode: Boolean
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Product

Inherited from Equals

Inherited from ParamGroup

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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