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ITransformTInput, TOutput Interface |
Common interface for data transformation algorithms. Examples of transformations include
classifiers, regressions
and other machine learning techniques.
Namespace: Accord.MachineLearning
Assembly: Accord (in Accord.dll) Version: 3.8.0
Syntaxpublic interface ITransform<in TInput, TOutput> : ICovariantTransform<TInput, TOutput>, ITransform
Type Parameters
- TInput
- The type for the output data that enters in the model. Default is double[].
- TOutput
- The type for the input data that exits from the model. Default is double[].
The ITransformTInput, TOutput type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | NumberOfInputs |
Gets or sets the number of inputs accepted by the model.
(Inherited from ITransform.) |
| NumberOfOutputs |
Gets or sets the number of outputs generated by the model.
(Inherited from ITransform.) |
Methods| Name | Description | |
|---|---|---|
 | Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransformTInput, TOutput.) |
| Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ICovariantTransformTInput, TOutput.) |
| Transform(TInput, TOutput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
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See Also