LinearMulticlassModelParameters Class

Definition

Namespace:: Microsoft.ML.Trainers

Assembly:: Microsoft.ML.StandardTrainers.dll

Package:: Microsoft.ML v4.0.1

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 v2.0.1

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v5.0.0-preview.1.25125.4

Source:: MulticlassLogisticRegression.cs

Source:: MulticlassLogisticRegression.cs

Source:: MulticlassLogisticRegression.cs

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.

Linear model of multiclass classifiers. It outputs raw scores of all its linear models, and no probablistic output is provided.

public sealed class LinearMulticlassModelParameters : Microsoft.ML.Trainers.LinearMulticlassModelParametersBase

type LinearMulticlassModelParameters = class
    inherit LinearMulticlassModelParametersBase

Public NotInheritable Class LinearMulticlassModelParameters
Inherits LinearMulticlassModelParametersBase

Inheritance: Object

ModelParametersBase<VBuffer<Single>>

LinearMulticlassModelParametersBase
LinearMulticlassModelParameters

Fields

Name	Description
Statistics	(Inherited from LinearMulticlassModelParametersBase)

Methods

Name	Description
GetBiases()	Gets the biases for the logistic regression predictor. (Inherited from LinearMulticlassModelParametersBase)
GetWeights(VBuffer<Single>[], Int32)	Copies the weight vector for each class into a set of buffers. (Inherited from LinearMulticlassModelParametersBase)

Explicit Interface Implementations

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

Applies to