ISupervisedMulticlassLearningTModel Interface |
Namespace: Accord.MachineLearning
public interface ISupervisedMulticlassLearning<out TModel> : ISupervisedMulticlassLearning<TModel, int[]>, ISupervisedMultilabelLearning<TModel, int[]>, ISupervisedLearning<TModel, int[], int[]>, ISupervisedLearning<TModel, int[], bool[]>, ISupervisedLearning<TModel, int[], int>, ISupervisedMulticlassLearning<TModel, float[]>, ISupervisedMultilabelLearning<TModel, float[]>, ISupervisedLearning<TModel, float[], int[]>, ISupervisedLearning<TModel, float[], bool[]>, ISupervisedLearning<TModel, float[], int>, ISupervisedMulticlassLearning<TModel, double[]>, ISupervisedMultilabelLearning<TModel, double[]>, ISupervisedLearning<TModel, double[], int[]>, ISupervisedLearning<TModel, double[], bool[]>, ISupervisedLearning<TModel, double[], int> where TModel : IMulticlassClassifier
The ISupervisedMulticlassLearningTModel type exposes the following members.
Name | Description | |
---|---|---|
Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from ISupervisedLearningTModel, TInput, TOutput.) |
Name | Description | |
---|---|---|
Learn(TInput, TOutput, Double) |
Learns a model that can map the given inputs to the given outputs.
(Inherited from ISupervisedLearningTModel, TInput, TOutput.) |