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

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.

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Product, Equals, Serializable, Serializable, AnyRef, Any
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  2. Product
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Instance Constructors

  1. new ExecutionParams(chunkSize: Int, matrixType: String, numThreads: 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.

Value Members

  1. val chunkSize: Int
  2. val matrixType: String
  3. val numThreads: Int
  4. def toString(): String
    Definition Classes
    ExecutionParams → AnyRef → Any
  5. val useSingleDatasetMode: Boolean