MaximumEntropyModelParameters Class
Definition
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.LinearMulticlassModelParametersBasetype MaximumEntropyModelParameters = class
inherit LinearMulticlassModelParametersBasePublic NotInheritable Class MaximumEntropyModelParameters
Inherits LinearMulticlassModelParametersBase- Inheritance
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MaximumEntropyModelParameters
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>) |