GradientBooster.Options Class
Definition
Important
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The options for GradientBooster, used for setting Microsoft.ML.Trainers.LightGbm.Booster.
public sealed class GradientBooster.Options : Microsoft.ML.Trainers.LightGbm.BoosterParameterBase.OptionsBase
type GradientBooster.Options = class
inherit BoosterParameterBase.OptionsBase
Public NotInheritable Class GradientBooster.Options
Inherits BoosterParameterBase.OptionsBase
- Inheritance
Constructors
GradientBooster.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) |
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) |
Explicit Interface Implementations
IComponentFactory<BoosterParameterBase>.CreateComponent(IHostEnvironment) | (Inherited from BoosterParameterBase.OptionsBase) |