BoosterParameterBase.OptionsBase Class
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C#
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
|
Feature |
The fraction of features used when creating trees. |
| L1Regularization |
The L1 regularization term on weights. |
| L2Regularization |
The L2 regularization term on weights. |
|
Maximum |
The maximum depth of a tree. |
|
Minimum |
The minimum sum of instance weight needed to form a new node. |
|
Minimum |
The minimum loss reduction required to make a further partition on a leaf node of the tree. |
|
Subsample |
The fraction of training data used for creating trees. |
|
Subsample |
The frequency of performing subsampling (bagging). |
| Produkt | Verzie |
|---|---|
| ML.NET | 1.0.0, 1.1.0, 1.2.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0, Preview, 4.0.0 |