GossBooster.Options Class

Definition

Namespace:

Microsoft.ML.Trainers.LightGbm

Assembly:

Microsoft.ML.LightGbm.dll

Package:

Microsoft.ML.LightGbm v3.0.1

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

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

type GossBooster.Options = class
    inherit BoosterParameterBase.OptionsBase

Public NotInheritable Class GossBooster.Options
Inherits BoosterParameterBase.OptionsBase

Inheritance

Object

BoosterParameterBase.OptionsBase

GossBooster.Options

Constructors

GossBooster.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)
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)
OtherRate	The retain ratio of small gradient data.
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)
TopRate	The retain ratio of large gradient data.

Explicit Interface Implementations

IComponentFactory<BoosterParameterBase>.CreateComponent(IHostEnvironment)

(Inherited from BoosterParameterBase.OptionsBase)