gurls::PredDual< T > Class Template Reference

PredDual is the sub-class of Prediction that computes the predictions of a linear classifier in the dual formulation.

#include <dual.h>

Inheritance diagram for gurls::PredDual< T >:

Collaboration diagram for gurls::PredDual< T >:

List of all members.

Public Member Functions
OptMatrix< gMat2D< T > > *	execute (const gMat2D< T > &X, const gMat2D< T > &Y, const GurlsOptionsList &opt)
	Computes the predictions of the linear classifier stored in opt.W and computed using the primal formulation, on the samples passed in the X matrix.
Static Public Member Functions
static Prediction< T > *	factory (const std::string &id) throw (BadPredictionCreation)
	Factory function returning a pointer to the newly created object.

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Detailed Description

template<typename T>
class gurls::PredDual< T >

Definition at line 67 of file dual.h.

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Member Function Documentation

template<typename T >

OptMatrix< gMat2D< T > > * gurls::PredDual< T >::execute	(	const gMat2D< T > &	X,
		const gMat2D< T > &	Y,
		const GurlsOptionsList &	opt
	)		[virtual]

Parameters:

X	input data matrix
Y	labels matrix
opt	options with the following: Kernel (default) C, X, W (settable with the class Optimizers and its subclasses RLSDual) predkernel (required only if the subfield type of Kernel is different than "linear", and settable with the class PredKernel and its subclasses PredKernelTrainTest)

Returns:

pred matrix of predicted labels

Implements gurls::Prediction< T >.

Definition at line 85 of file dual.h.

{
    if(opt.hasOpt("kernel"))
    {
        if(opt.getOptValue<OptString>("kernel.type") == "linear")
        {
            PredPrimal<T> pred;
            return pred.execute(X, Y, opt);
        }
    }

    const gMat2D<T> &K = opt.getOptValue<OptMatrix<gMat2D<T> > >("predkernel.K");
    const gMat2D<T> &C = opt.getOptValue<OptMatrix<gMat2D<T> > >("optimizer.C");

    gMat2D<T>* Z = new gMat2D<T>(K.rows(), C.cols());


    dot(K.getData(), C.getData(), Z->getData(), K.rows(), K.cols(), C.rows(), C.cols(), Z->rows(), Z->cols(), CblasNoTrans, CblasNoTrans, CblasColMajor);

    return new OptMatrix<gMat2D<T> >(*Z);
}

template<typename T>

static Prediction<T>* gurls::Prediction< T >::factory

(

const std::string &

id

)

throw (BadPredictionCreation) [inline, static, inherited]

Warning:

The returned pointer is a plain, un-managed pointer. The calling function is responsible of deallocating the object.

Definition at line 112 of file pred.h.

    {
        if(id == "primal")
            return new PredPrimal<T>;
        if(id == "dual")
            return new PredDual<T>;
        if(id == "gpregr")
            return new PredGPRegr<T>;
        if(id == "randfeats")
            return new PredRandFeats<T>;

        throw BadPredictionCreation(id);
    }

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The documentation for this class was generated from the following file:

• dual.h