case class ExecutionParams(chunkSize: Int, matrixType: String, numThreads: Int, executionMode: String, microBatchSize: Int, useSingleDatasetMode: Boolean) 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.

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Instance Constructors

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

    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.

Value Members

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