1242         df_index.clear();  in clear()
1354                 (int)df_index.size()) - decision_func[i].ofs;  in getSVCount()
1391             df_index.resize(sv_count);  in do_train()
1399                     df_index[k] = k;  in do_train()
1432             df_index.clear();  in do_train()
1498                     df.ofs = (int)df_index.size();  in do_train()
1507                             df_index.push_back(sidx_all[idx]);  in do_train()
1532             int n = (int)df_index.size();  in do_train()
1535                 CV_Assert( sv_tab[df_index[i]] > 0 );  in do_train()
1536                 df_index[i] = sv_tab[df_index[i]] - 1;  in do_train()
1575             const int* sv_index = &df_index[df.ofs];  in optimize_linear_svm()
1589         setRangeVector(df_index, df_count);  in optimize_linear_svm()
1883                             const int* sv_index = &svm->df_index[df.ofs];  in operator ()()
1946         Mat(1, count, CV_32S, (int*)&df_index[df.ofs]).copyTo(_svidx);  in getDecisionFunction()
2072                 fs.writeRaw("i", (const uchar*)&df_index[df.ofs], sv_count*sizeof(df_index[0]));  in write()
2188             int ofs = (int)df_index.size();  in read()
2191             df_index.resize(ofs + sv_count);  in read()
2195                 dfi["index"].readRaw("i", (uchar*)&df_index[ofs], sv_count*sizeof(df_index[0]));  in read()
2199             setRangeVector(df_index, sv_total);  in read()
2210     vector<int> df_index;  member in cv::ml::SVMImpl