DartBooster.Options Class

Reference

Definition

Namespace:: Microsoft.ML.Trainers.LightGbm

Assembly:: Microsoft.ML.LightGbm.dll

Package:: Microsoft.ML.LightGbm v3.0.1

Package:: Microsoft.ML.LightGbm v1.0.0

Package:: Microsoft.ML.LightGbm v1.1.0

Package:: Microsoft.ML.LightGbm v1.2.0

Package:: Microsoft.ML.LightGbm v1.3.1

Package:: Microsoft.ML.LightGbm v1.4.0

Package:: Microsoft.ML.LightGbm v1.5.5

Package:: Microsoft.ML.LightGbm v1.6.0

Package:: Microsoft.ML.LightGbm v1.7.0

Package:: Microsoft.ML.LightGbm v2.0.0

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

The options for DartBooster, used for setting Microsoft.ML.Trainers.LightGbm.Booster.

public sealed class DartBooster.Options : Microsoft.ML.Trainers.LightGbm.BoosterParameterBase.OptionsBase

type DartBooster.Options = class
    inherit BoosterParameterBase.OptionsBase

Public NotInheritable Class DartBooster.Options
Inherits BoosterParameterBase.OptionsBase

Inheritance: Object

BoosterParameterBase.OptionsBase
DartBooster.Options

Constructors

DartBooster.Options()

Fields

FeatureFraction	The fraction of features used when creating trees. (Inherited from BoosterParameterBase.OptionsBase)
L1Regularization	The L1 regularization term on weights. (Inherited from BoosterParameterBase.OptionsBase)
L2Regularization	The L2 regularization term on weights. (Inherited from BoosterParameterBase.OptionsBase)
MaximumNumberOfDroppedTreesPerRound	The maximum number of dropped trees in a boosting round.
MaximumTreeDepth	The maximum depth of a tree. (Inherited from BoosterParameterBase.OptionsBase)
MinimumChildWeight	The minimum sum of instance weight needed to form a new node. (Inherited from BoosterParameterBase.OptionsBase)
MinimumSplitGain	The minimum loss reduction required to make a further partition on a leaf node of the tree. (Inherited from BoosterParameterBase.OptionsBase)
SkipDropFraction	The probability of skipping the dropout procedure during a boosting iteration.
SubsampleFraction	The fraction of training data used for creating trees. (Inherited from BoosterParameterBase.OptionsBase)
SubsampleFrequency	The frequency of performing subsampling (bagging). (Inherited from BoosterParameterBase.OptionsBase)
TreeDropFraction	The dropout rate, i.e. the fraction of previous trees to drop during the dropout.
UniformDrop	Whether to enable uniform drop.
XgboostDartMode	Whether to enable xgboost dart mode.

Explicit Interface Implementations

IComponentFactory<BoosterParameterBase>.CreateComponent(IHostEnvironment)

(Inherited from BoosterParameterBase.OptionsBase)

Applies to

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