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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_ISupervisedLearning_3.htm below:

ISupervisedLearningTModel, TInput, TOutput Interface

Common interface for supervised learning algorithms.

Namespace:  Accord.MachineLearning
Assembly:

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

Syntax 
public interface ISupervisedLearning<out TModel, in TInput, in TOutput>
where TModel : Object, ITransform<TInput, TOutput>

Public Interface ISupervisedLearning(Of Out TModel As {Object, ITransform(Of TInput, TOutput)}, In TInput, In TOutput)
Type Parameters
TModel
The type for the model being learned.
TInput
The type for the input data that enters the model.
TOutput
The type for the output data that originates from the model.

The ISupervisedLearningTModel, TInput, TOutput type exposes the following members.

Properties   Name Description Token

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Top Methods   Name Description Learn

Learns a model that can map the given inputs to the given outputs.

Top See Also

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