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MaximumEntropyModelParameters Class

Definition

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

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