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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
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public interface IMultipleRegression<TInput, TOutput> : IRegression<TInput, TOutput[]>, 
	ITransform<TInput, TOutput[]>, ICovariantTransform<TInput, TOutput[]>, 
	ITransform
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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
  NameDescription
Public propertyNumberOfInputs
Gets or sets the number of inputs accepted by the model.
(Inherited from ITransform.)
Public propertyNumberOfOutputs
Gets or sets the number of outputs generated by the model.
(Inherited from ITransform.)
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Methods
  NameDescription
Public methodRegress(TInput)
Computes an output value for a given input.
(Inherited from IRegressionTInput, TOutput.)
Public methodRegress(TInput)
Computes output values for each vector in the given set of input vectors.
(Inherited from IRegressionTInput, TOutput.)
Public methodRegress(TInput, TOutput)
Computes output values for each vector in the given set of input vectors.
(Inherited from IRegressionTInput, TOutput.)
Public methodTransform(TInput)
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransformTInput, TOutput.)
Public methodTransform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from ICovariantTransformTInput, TOutput.)
Public methodTransform(TInput, TOutput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from ITransformTInput, TOutput.)
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See Also