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IUnsupervisedLearningTModel, TInput, TOutput Interface
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Common interface for unsupervised learning algorithms.
Namespace:
Accord.MachineLearning
Assembly:
Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax public interface IUnsupervisedLearning<out TModel, in TInput, out TOutput>
where TModel : Object, ITransform<TInput, TOutput>
Public Interface IUnsupervisedLearning(Of Out TModel As {Object, ITransform(Of TInput, TOutput)}, In TInput, Out TOutput)
Type Parameters
- TModel
- The type for the model being learned.
- TInput
- The type for the output data that originates from the model.
- TOutput
- The type for the input data that enters the model.
The IUnsupervisedLearningTModel, TInput, TOutput type exposes the following members.
Properties
| Name | Description |
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| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
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TopMethods
| Name | Description |
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| Learn |
Learns a model that can map the given inputs to the desired outputs.
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TopSee Also