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LinearModelParameters Class

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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

Base class for linear model parameters.

public abstract class LinearModelParameters : Microsoft.ML.Trainers.ModelParametersBase<float>, Microsoft.ML.Trainers.ICalculateFeatureContribution
type LinearModelParameters = class
    inherit ModelParametersBase<single>
    interface ICalculateFeatureContribution
Public MustInherit Class LinearModelParameters
Inherits ModelParametersBase(Of Single)
Implements ICalculateFeatureContribution
Inheritance
Object
ModelParametersBase<Single>
LinearModelParameters
Derived
Implements
ICalculateFeatureContribution

Properties

Bias

The predictor's bias term.
Weights

The predictor's feature weight coefficients.

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.
ICanSaveModel.Save(ModelSaveContext) (Inherited from ModelParametersBase<TOutput>)

Applies to