LinearMulticlassModelParametersBase 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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Common linear model of multiclass classifiers. LinearMulticlassModelParameters contains a single linear model per class.

public abstract class LinearMulticlassModelParametersBase : Microsoft.ML.Trainers.ModelParametersBase<Microsoft.ML.Data.VBuffer<float>>

type LinearMulticlassModelParametersBase = class
    inherit ModelParametersBase<VBuffer<single>>

Public MustInherit Class LinearMulticlassModelParametersBase
Inherits ModelParametersBase(Of VBuffer(Of Single))

Inheritance: Object

ModelParametersBase<VBuffer<Single>>
LinearMulticlassModelParametersBase

Derived: Microsoft.ML.Trainers.LinearMulticlassModelParameters

Microsoft.ML.Trainers.MaximumEntropyModelParameters

Fields

Statistics

Methods

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

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext)

(Inherited from ModelParametersBase<TOutput>)

Applies to

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