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BoosterParameterBase.OptionsBase Class

Definition

public abstract class BoosterParameterBase.OptionsBase : Microsoft.ML.Runtime.IComponentFactory<Microsoft.ML.Trainers.LightGbm.BoosterParameterBase>
type BoosterParameterBase.OptionsBase = class
    interface IComponentFactory<BoosterParameterBase>
    interface IComponentFactory
Public 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)

Applies to