void read_data(const char * fname, SGMatrix<int32_t>& labels, SGMatrix<float64_t>& feats)
{
// sparse data from matrix
CLibSVMFile * svmfile = new CLibSVMFile(fname);
SGSparseVector<float64_t>* spv_feats;
SGVector<float64_t>* pv_labels;
int32_t dim_feat;
int32_t num_samples;
int32_t num_classes;
svmfile->get_sparse_matrix(spv_feats, dim_feat, num_samples, pv_labels, num_classes);
SG_SPRINT("Number of the samples: %d\n", num_samples);
SG_SPRINT("Dimention of the feature: %d\n", dim_feat+1);
SG_SPRINT("Number of classes: %d\n", num_classes);
feats = SGMatrix<float64_t>(dim_feat+1, num_samples);
labels = SGMatrix<int32_t>(num_classes, num_samples);
feats.zero();
labels.zero();
for (int32_t i = 0; i < num_samples; i++)
{
SGVector<float64_t> v_feat = spv_feats[i].get_dense();
SGVector<float64_t> v_labels = pv_labels[i];
for (int32_t f = 0; f < v_feat.size(); f++)
feats(f, i) = v_feat[f];
feats(dim_feat, i) = 1.0; // bias
for (int32_t l = 0; l < v_labels.size(); l++)
labels((int32_t)v_labels[l], i) = 1;
}
SG_UNREF(svmfile);
SG_FREE(spv_feats);
SG_FREE(pv_labels);
}
void test_libsvmfile_multilabel(const char* fname)
{
FILE* pfile = fopen(fname, "r");
if (pfile == NULL)
{
SG_SPRINT("Unable to open file: %s\n", fname);
return;
}
fclose(pfile);
/* sparse data from matrix*/
CLibSVMFile* svmfile = new CLibSVMFile(fname);
SGSparseVector<float64_t>* feats;
SGVector<float64_t>* labels;
int32_t dim_feat;
int32_t num_samples;
int32_t num_classes;
svmfile->get_sparse_matrix(feats, dim_feat, num_samples, labels, num_classes);
#ifdef SHOW_DATA
// Display the labels
for (int32_t i = 0; i < num_samples; i++)
{
labels[i].display_vector();
}
#endif
SG_SPRINT("Number of the samples: %d\n", num_samples);
SG_SPRINT("Dimention of the feature: %d\n", dim_feat);
SG_SPRINT("Number of classes: %d\n", num_classes);
SG_UNREF(svmfile);
SG_FREE(feats);
SG_FREE(labels);
}
