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GossBooster.Options Class

Definition

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

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)

Applies to