LinearBinaryModelParameters Class

Reference

Definition

Namespace:: Microsoft.ML.Trainers

Assembly:: Microsoft.ML.StandardTrainers.dll

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v1.0.0

Package:: Microsoft.ML v1.1.0

Package:: Microsoft.ML v1.2.0

Package:: Microsoft.ML v1.3.1

Package:: Microsoft.ML v1.4.0

Package:: Microsoft.ML v1.5.5

Package:: Microsoft.ML v1.6.0

Package:: Microsoft.ML v1.7.0

Package:: Microsoft.ML v2.0.0

Important

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The model parameters class for linear binary trainer estimators.

public sealed class LinearBinaryModelParameters : Microsoft.ML.Trainers.LinearModelParameters

type LinearBinaryModelParameters = class
    inherit LinearModelParameters

Public NotInheritable Class LinearBinaryModelParameters
Inherits LinearModelParameters

Inheritance: Object

ModelParametersBase<Single>

LinearModelParameters
LinearBinaryModelParameters

Fields

Statistics

Properties

Bias	The predictor's bias term. (Inherited from LinearModelParameters)
Weights	The predictor's feature weight coefficients. (Inherited from LinearModelParameters)

Explicit Interface Implementations

ICalculateFeatureContribution.FeatureContributionCalculator	Used to determine the contribution of each feature to the score of an example by FeatureContributionCalculatingTransformer. For linear models, the contribution of a given feature is equal to the product of feature value times the corresponding weight. (Inherited from LinearModelParameters)
ICanSaveModel.Save(ModelSaveContext)	(Inherited from ModelParametersBase<TOutput>)

Applies to