ISupervisedBinaryLearningTModel, TInput Interface |
Namespace: Accord.MachineLearning
public interface ISupervisedBinaryLearning<out TModel, in TInput> : ISupervisedMulticlassLearning<TModel, TInput>, ISupervisedMultilabelLearning<TModel, TInput>, ISupervisedLearning<TModel, TInput, int[]>, ISupervisedLearning<TModel, TInput, bool[]>, ISupervisedLearning<TModel, TInput, int>, ISupervisedLearning<TModel, TInput, bool> where TModel : Object, IBinaryClassifier<TInput>
The ISupervisedBinaryLearningTModel, TInput 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.) |