CLatentLabels* CLatentSVM::apply()
{
if (!m_model)
SG_ERROR("LatentModel is not set!\n");
if (!features)
return NULL;
index_t num_examples = m_model->get_num_vectors();
CLatentLabels* hs = new CLatentLabels(num_examples);
CBinaryLabels* ys = new CBinaryLabels(num_examples);
hs->set_labels(ys);
m_model->set_labels(hs);
for (index_t i = 0; i < num_examples; ++i)
{
/* find h for the example */
CData* h = m_model->infer_latent_variable(w, i);
hs->add_latent_label(h);
}
/* compute the y labels */
CDotFeatures* x = m_model->get_psi_feature_vectors();
x->dense_dot_range(ys->get_labels().vector, 0, num_examples, NULL, w.vector, w.vlen, 0.0);
return hs;
}
int CMulticlassOCAS::msvm_full_compute_output(float64_t *output, void* user_data)
{
float64_t* W = ((mocas_data*)user_data)->W;
uint32_t nY = ((mocas_data*)user_data)->nY;
uint32_t nDim = ((mocas_data*)user_data)->nDim;
uint32_t nData = ((mocas_data*)user_data)->nData;
float64_t* output_values = ((mocas_data*)user_data)->output_values;
CDotFeatures* features = ((mocas_data*)user_data)->features;
uint32_t i, y;
for(y=0; y<nY; y++)
{
features->dense_dot_range(output_values,0,nData,NULL,&W[nDim*y],nDim,0.0);
for (i=0; i<nData; i++)
output[LIBOCAS_INDEX(y,i,nY)] = output_values[i];
}
return 0;
}