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
-
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
-
def
appendParams(sb: ParamsStringBuilder): ParamsStringBuilder
- Definition Classes
- ExecutionParams → ParamGroup
- val chunkSize: Int
- val executionMode: String
- val matrixType: String
- val microBatchSize: Int
- val numThreads: Int
-
def
toString(): String
- Definition Classes
- ParamGroup → AnyRef → Any
- val useSingleDatasetMode: Boolean