MKLRegression.cpp

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#include <shogun/regression/svr/MKLRegression.h>
#include <shogun/regression/svr/LibSVR.h>
#ifdef USE_SVMLIGHT
#include <shogun/regression/svr/SVRLight.h>
#endif //USE_SVMLIGHT

using namespace shogun;

CMKLRegression::CMKLRegression(CSVM* s) : CMKL(s)
{
    if (!s)
    {
#ifdef USE_SVMLIGHT
        s=new CSVRLight();
#endif //USE_SVMLIGHT
        if (!s)
            s=new CLibSVR();
        set_svm(s);
    }
}

CMKLRegression::~CMKLRegression()
{
}

float64_t CMKLRegression::compute_sum_alpha()
{
    SG_NOTIMPLEMENTED
    return 0;

    // not correct needs explicit access to alpha and alpha*
    //float64_t suma=0;
    //int32_t nsv=svm->get_num_support_vectors();
    //for (int32_t i=0; i<nsv; i++)
    //  suma+=CMath::abs(svm->get_alpha(i))*tube_epsilon-svm->get_alpha(i);
    //return suma;
}

float64_t CMKLRegression::compute_mkl_dual_objective()
{
    SG_NOTIMPLEMENTED
    return 0;
}

void CMKLRegression::init_training()
{
    ASSERT(m_labels && m_labels->get_num_labels())
    ASSERT(svm)
    ASSERT(svm->get_classifier_type() == CT_SVRLIGHT)
    ASSERT(interleaved_optimization)
}