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.

Linear Supertypes
Product, Equals, ParamGroup, Serializable, Serializable, AnyRef, Any
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  2. Product
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  4. ParamGroup
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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. def appendParams(sb: ParamsStringBuilder): ParamsStringBuilder
    Definition Classes
    ExecutionParams → ParamGroup
  2. val chunkSize: Int
  3. val executionMode: String
  4. val matrixType: String
  5. val maxStreamingOMPThreads: Int
  6. val microBatchSize: Int
  7. val numThreads: Int
  8. def toString(): String
    Definition Classes
    ParamGroup → AnyRef → Any
  9. val useSingleDatasetMode: Boolean