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
Ordering
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  2. By Inheritance
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. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val alpha: Double
  5. 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
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. val boostFromAverage: Boolean
  8. val categoricalParams: CategoricalParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. val dartModeParams: DartModeParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  11. val datasetParams: DatasetParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  12. val delegate: Option[LightGBMDelegate]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. val executionParams: ExecutionParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  15. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  16. val generalParams: GeneralParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  17. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. val isProvideTrainingMetric: Option[Boolean]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. val objectiveParams: ObjectiveParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  24. val passThroughArgs: Option[String]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  25. val seedParams: SeedParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  26. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  27. def toString(): String
    Definition Classes
    BaseTrainParams → AnyRef → Any
  28. val tweedieVariancePower: Double
  29. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Product

Inherited from Equals

Inherited from BaseTrainParams

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped