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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_IMultipleRegression_2.htm below:

IMultipleRegressionTInput, TOutput Interface

Common interface for multiple regression models. Multiple regression models learn how to produce a set of real values (a real-valued vector) from an input vector x.

Namespace:  Accord.MachineLearning
Assembly:

Accord (in Accord.dll) Version: 3.8.0

Syntax 
public interface IMultipleRegression<TInput, TOutput> : IRegression<TInput, TOutput[]>, 
	ITransform<TInput, TOutput[]>, ICovariantTransform<TInput, TOutput[]>, 
	ITransform

Public Interface IMultipleRegression(Of TInput, TOutput)
	Inherits IRegression(Of TInput, TOutput()), ITransform(Of TInput, TOutput()), 
	ICovariantTransform(Of TInput, TOutput()), ITransform
Request Example View Source Type Parameters
TInput
The data type for the input data. Default is double[].
TOutput
The data type for the predicted variables. Default is double.

The IMultipleRegressionTInput, TOutput type exposes the following members.

Properties Methods   Name Description Regress(TInput)

Computes an output value for a given input.

(Inherited from IRegressionTInput, TOutput.) Regress(TInput)

Computes output values for each vector in the given set of input vectors.

(Inherited from IRegressionTInput, TOutput.) Regress(TInput, TOutput)

Computes output values for each vector in the given set of input vectors.

(Inherited from IRegressionTInput, TOutput.) 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.

(Inherited from ITransformTInput, TOutput.) Top See Also

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