c

com.microsoft.azure.synapse.ml.lightgbm.params

RegressorTrainParams

case class RegressorTrainParams(passThroughArgs: Option[String], alpha: Double, tweedieVariancePower: Double, boostFromAverage: Boolean, isProvideTrainingMetric: Option[Boolean], delegate: Option[LightGBMDelegate], generalParams: GeneralParams, datasetParams: DatasetParams, dartModeParams: DartModeParams, executionParams: ExecutionParams, objectiveParams: ObjectiveParams, seedParams: SeedParams, categoricalParams: CategoricalParams) extends BaseTrainParams with Product with Serializable

Defines the Booster parameters passed to the LightGBM regressor.

Linear Supertypes
Product, Equals, BaseTrainParams, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RegressorTrainParams
  2. Product
  3. Equals
  4. BaseTrainParams
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RegressorTrainParams(passThroughArgs: Option[String], alpha: Double, tweedieVariancePower: Double, boostFromAverage: Boolean, isProvideTrainingMetric: Option[Boolean], delegate: Option[LightGBMDelegate], generalParams: GeneralParams, datasetParams: DatasetParams, dartModeParams: DartModeParams, executionParams: ExecutionParams, objectiveParams: ObjectiveParams, seedParams: SeedParams, categoricalParams: CategoricalParams)

Type Members

  1. implicit class SpecificParamAppender extends AnyRef
    Definition Classes
    BaseTrainParams

Value Members

  1. val alpha: Double
  2. def appendSpecializedParams(sb: ParamsStringBuilder): ParamsStringBuilder

    Override to add parameters specific to training type.

    Override to add parameters specific to training type.

    Definition Classes
    RegressorTrainParams → BaseTrainParams
  3. val boostFromAverage: Boolean
  4. val categoricalParams: CategoricalParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  5. val dartModeParams: DartModeParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  6. val datasetParams: DatasetParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  7. val delegate: Option[LightGBMDelegate]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  8. val executionParams: ExecutionParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  9. val generalParams: GeneralParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  10. def getNumClass: Int
    Definition Classes
    BaseTrainParams
  11. val isProvideTrainingMetric: Option[Boolean]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  12. val objectiveParams: ObjectiveParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  13. val passThroughArgs: Option[String]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  14. val seedParams: SeedParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  15. def toString(): String
    Definition Classes
    BaseTrainParams → AnyRef → Any
  16. val tweedieVariancePower: Double