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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_ISupervisedBinaryLearning_2.htm below:

ISupervisedBinaryLearningTModel, TInput Interface Namespace:  Accord.MachineLearning
Assembly:

Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax 
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>

Public Interface ISupervisedBinaryLearning(Of Out TModel As {Object, IBinaryClassifier(Of TInput)}, In TInput)
	Inherits ISupervisedMulticlassLearning(Of TModel, TInput), ISupervisedMultilabelLearning(Of TModel, TInput), 
	ISupervisedLearning(Of TModel, TInput, Integer()), ISupervisedLearning(Of TModel, TInput, Boolean()), 
	ISupervisedLearning(Of TModel, TInput, Integer), ISupervisedLearning(Of TModel, TInput, Boolean)
Request Example View Source Type Parameters
TModel
The type for the model being learned.
TInput
The type for the input data that enters the model.

The ISupervisedBinaryLearningTModel, TInput type exposes the following members.

Properties Methods See Also

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