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.

C#
public sealed class MaximumEntropyModelParameters : Microsoft.ML.Trainers.LinearMulticlassModelParametersBase
Inheritance

Fields

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

Applies to

Product Versions
ML.NET 1.0.0, 1.1.0, 1.2.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0, Preview, 4.0.0