GossBooster.Options Class
Definition
Important
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The options for GossBooster, used for setting Microsoft.ML.Trainers.LightGbm.Booster.
public sealed class GossBooster.Options : Microsoft.ML.Trainers.LightGbm.BoosterParameterBase.OptionsBasetype GossBooster.Options = class
inherit BoosterParameterBase.OptionsBasePublic 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) |