280     is_classifier = r_type == CV_VAR_CATEGORICAL;  in set_data()
301     work_var_count = var_count + (is_classifier ? 1 : 0) // for responses class_labels  in set_data()
336     size = is_classifier ? (cat_var_count+1) : cat_var_count;  in set_data()
341 …size = is_classifier ? (cat_var_count + 1)*params.max_categories : cat_var_count*params.max_catego…  in set_data()
384     if (is_buf_16u && (cat_var_count || is_classifier))  in set_data()
421             (vi == var_count && is_classifier) ) // process categorical variable or response  in set_data()
645     have_priors = is_classifier && params.priors;  in set_data()
646     if( is_classifier )  in set_data()
1000         if( is_classifier )  in get_vectors()
1162     have_labels = have_priors = is_classifier = false;  in clear()
1175     return is_classifier ? cat_count->data.i[cat_var_count] : 0;  in get_num_classes()
1229     if (is_classifier)  in get_class_labels()
1298     cvWriteInt( fs, "is_classifier", is_classifier ? 1 : 0 );  in write_params()
1307     if( is_classifier )  in write_params()
1341     if( cat_count && (cat_var_count > 0 || is_classifier) )  in write_params()
1362     is_classifier = (cvReadIntByName( fs, node, "is_classifier" ) != 0);  in read_params()
1374         if( is_classifier )  in read_params()
1450     if( cat_var_count > 0 || is_classifier )  in read_params()
1459             cat_count->cols + cat_count->rows - 1 != cat_var_count + is_classifier ||  in read_params()
1465         ccount = cat_var_count + is_classifier;  in read_params()
1694     if( can_split && data->is_classifier )  in try_split_node()
1929         if( data->is_classifier )  in operator ()()
2758 … int base_size = data->is_classifier ? m*cv_n*sizeof(int) : 2*cv_n*sizeof(double)+cv_n*sizeof(int);  in calc_node_value()
2759 …  int ext_size = n*(sizeof(int) + (data->is_classifier ? sizeof(int) : sizeof(int)+sizeof(float)));  in calc_node_value()
2767     if( data->is_classifier )  in calc_node_value()
3328     bool is_classifier = var_types->data.ptr[var_types->cols-1] == CV_VAR_CATEGORICAL;  in calc_error()  local
3338     if ( is_classifier )  in calc_error()
3391     bool use_1se = data->params.use_1se_rule != 0 && data->is_classifier;  in prune_cv()
3832     if( data->is_classifier )  in write_node()
4035     if( data->is_classifier )  in read_node()