240     is_classifier = r_type == CV_VAR_CATEGORICAL;  in CV_IMPLEMENT_QSORT_EX()
339             vi == var_count && is_classifier ) // process categorical variable or response  in CV_IMPLEMENT_QSORT_EX()
508     have_priors = is_classifier && params.priors;  in CV_IMPLEMENT_QSORT_EX()
509     if( is_classifier )  in CV_IMPLEMENT_QSORT_EX()
772         if( is_classifier )  in get_vectors()
929     have_labels = have_priors = is_classifier = false;  in clear()
942     return is_classifier ? cat_count->data.i[cat_var_count] : 0;  in get_num_classes()
1010     cvWriteInt( fs, "is_classifier", is_classifier ? 1 : 0 );  in write_params()
1019     if( is_classifier )  in write_params()
1053     if( cat_count && (cat_var_count > 0 || is_classifier) )  in write_params()
1074     is_classifier = (cvReadIntByName( fs, node, "is_classifier" ) != 0);  in read_params()
1086         if( is_classifier )  in read_params()
1164     if( cat_var_count > 0 || is_classifier )  in read_params()
1173             cat_count->cols + cat_count->rows - 1 != cat_var_count + is_classifier ||  in read_params()
1179         ccount = cat_var_count + is_classifier;  in read_params()
1347     if( can_split && data->is_classifier )  in try_split_node()
1538         if( data->is_classifier )  in find_best_split()
2259     if( data->is_classifier )  in calc_node_value()
2653     bool use_1se = data->params.use_1se_rule != 0 && data->is_classifier;  in prune_cv()
3098     if( data->is_classifier )  in write_node()
3301     if( data->is_classifier )  in read_node()