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
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Inherited
- RegressorTrainParams
- Product
- Equals
- BaseTrainParams
- Serializable
- Serializable
- AnyRef
- Any
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Visibility
- Public
- All
Instance Constructors
- 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
-
implicit
class
SpecificParamAppender extends AnyRef
- Definition Classes
- BaseTrainParams
Value Members
- val alpha: Double
-
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
- val boostFromAverage: Boolean
-
val
categoricalParams: CategoricalParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
dartModeParams: DartModeParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
datasetParams: DatasetParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
delegate: Option[LightGBMDelegate]
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
executionParams: ExecutionParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
generalParams: GeneralParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
def
getNumClass: Int
- Definition Classes
- BaseTrainParams
-
val
isProvideTrainingMetric: Option[Boolean]
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
objectiveParams: ObjectiveParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
passThroughArgs: Option[String]
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
val
seedParams: SeedParams
- Definition Classes
- RegressorTrainParams → BaseTrainParams
-
def
toString(): String
- Definition Classes
- BaseTrainParams → AnyRef → Any
- val tweedieVariancePower: Double