MaximumEntropyModelParameters 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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Linear maximum entropy model of multiclass classifiers. It outputs classes probabilities. This model is also known as multinomial logistic regression. Please see https://en.wikipedia.org/wiki/Multinomial_logistic_regression for details.

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

type MaximumEntropyModelParameters = class
    inherit LinearMulticlassModelParametersBase

Public NotInheritable Class MaximumEntropyModelParameters
Inherits LinearMulticlassModelParametersBase

Inheritance: Object

ModelParametersBase<VBuffer<Single>>

LinearMulticlassModelParametersBase
MaximumEntropyModelParameters

Fields

Statistics

(Inherited from LinearMulticlassModelParametersBase)

Methods

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

ICanSaveModel.Save(ModelSaveContext)

(Inherited from ModelParametersBase<TOutput>)

Applies to

Dela via