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
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RegressorTrainParams
  2. Product
  3. Equals
  4. BaseTrainParams
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
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. def getNumClass: Int
    Definition Classes
    BaseTrainParams
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. val isProvideTrainingMetric: Option[Boolean]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  21. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  22. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. val objectiveParams: ObjectiveParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  25. val passThroughArgs: Option[String]
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  26. val seedParams: SeedParams
    Definition Classes
    RegressorTrainParams → BaseTrainParams
  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  28. def toString(): String
    Definition Classes
    BaseTrainParams → AnyRef → Any
  29. val tweedieVariancePower: Double
  30. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. 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