ICovariantTransformTInput, 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

Syntax

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public interface ICovariantTransform<in TInput, out TOutput> : ITransform

Public Interface ICovariantTransform(Of In TInput, Out TOutput)
	Inherits 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 ICovariantTransformTInput, 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.)

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Methods

	Name	Description
	Transform(TInput)	Applies the transformation to an input, producing an associated output.
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors.

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Reference

Accord.MachineLearning Namespace

ICovariantTransformAddLanguageSpecificTextSet("LSTB2363409_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TInput, TOutputAddLanguageSpecificTextSet("LSTB2363409_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

ICovariantTransformTInput, TOutput Interface