BoosterParameterBase.OptionsBase Class
Definition
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.
public abstract class BoosterParameterBase.OptionsBase : Microsoft.ML.Runtime.IComponentFactory<Microsoft.ML.Trainers.LightGbm.BoosterParameterBase>type BoosterParameterBase.OptionsBase = class
interface IComponentFactory<BoosterParameterBase>
interface IComponentFactoryPublic MustInherit Class BoosterParameterBase.OptionsBase
Implements IComponentFactory(Of BoosterParameterBase)- Inheritance
-
BoosterParameterBase.OptionsBase
- Derived
- Implements
Constructors
| BoosterParameterBase.OptionsBase() |
Fields
| FeatureFraction |
The fraction of features used when creating trees. |
| L1Regularization |
The L1 regularization term on weights. |
| L2Regularization |
The L2 regularization term on weights. |
| MaximumTreeDepth |
The maximum depth of a tree. |
| MinimumChildWeight |
The minimum sum of instance weight needed to form a new node. |
| MinimumSplitGain |
The minimum loss reduction required to make a further partition on a leaf node of the tree. |
| SubsampleFraction |
The fraction of training data used for creating trees. |
| SubsampleFrequency |
The frequency of performing subsampling (bagging). |
Explicit Interface Implementations
| IComponentFactory<BoosterParameterBase>.CreateComponent(IHostEnvironment) |