/*set cpon
get cpon range from centroid, dimension parameters, and data parameters.
*/
void setCPON(int f, int c, int t, int ec, int clst_c, int l, oneclass_t *db)
{
centroid_t *centroid = db->table_centroid[f][c][t];
dimparam_t *dimparam = db->table_dimparam[f][c][t];
dataparam_t *dataparam = &db->table_dataparam[f][c][t];
int datasize = dataparam->datasize;
//set no_centroids
centroid[clst_c].cpon_range[l].no_centroids = clst_c + 1;
//set up sigma in the last centroid
centroid[ec].cpon_range[l].sigma = sqrt(centroid->var_max) * (exp((l - 2.0) * log(2.0)));
//set pdfweight being centroid and pdf_tr being dataparam
setPDF(ec, clst_c + 1, l, centroid, dataparam);
//set feature scaled pdf in the dataparam(it includes getta min and max of pdf)
setFeatureScaledPDF(dataparam);
//printf("%lf, %lf\n", (*(*((db->table_dataparam) + f) + c))->y_min, (*(*((db->table_dataparam) + f) + c))->y_max);
//set beta parameters belonging to cpon range
setCPONRangeBetaParams(l, ¢roid[clst_c], dataparam);
//set p value of train
centroid[clst_c].cpon_range[l].p_value_train =
p_value_train(datasize, dataparam->cdf, dataparam->cmp, centroid[clst_c].cpon_range[l].beta_a, centroid[clst_c].cpon_range[l].beta_b, dataparam->pdf_fs);
}
PDF(int size, char init_mode=' ')
: size(0), data(NULL), allocated(false) { setPDF(size, init_mode); }