1333         CV_CALL( decision_func = df =  in do_train()
1345         CV_CALL( df->alpha = (double*)cvMemStorageAlloc( storage, sv_count*sizeof(df->alpha[0])) );  in do_train()
1346         CV_CALL( sv = (float**)cvMemStorageAlloc( storage, sv_count*sizeof(sv[0])));  in do_train()
1352                 CV_CALL( sv[k] = (float*)cvMemStorageAlloc( storage, sample_size ));  in do_train()
1377             CV_CALL( class_weights = cvCreateMat( cw->rows, cw->cols, CV_64F ));  in do_train()
1378             CV_CALL( cvConvert( cw, class_weights ));  in do_train()
1379             CV_CALL( cvScale( class_weights, class_weights, params.C ));  in do_train()
1382         CV_CALL( decision_func = df = (CvSVMDecisionFunc*)cvAlloc(  in do_train()
1385         CV_CALL( sv_tab = (int*)cvMemStorageAlloc( temp_storage, sample_count*sizeof(sv_tab[0]) ));  in do_train()
1387         CV_CALL( class_ranges = (int*)cvMemStorageAlloc( temp_storage,  in do_train()
1389         CV_CALL( temp_samples = (const float**)cvMemStorageAlloc( temp_storage,  in do_train()
1391         CV_CALL( temp_y = (schar*)cvMemStorageAlloc( temp_storage, sample_count));  in do_train()
1455                 CV_CALL( df->alpha = (double*)cvMemStorageAlloc( temp_storage,  in do_train()
1457                 CV_CALL( df->sv_index = (int*)cvMemStorageAlloc( temp_storage,  in do_train()
1490         CV_CALL( sv = (float**)cvMemStorageAlloc( storage, sv_total*sizeof(sv[0])));  in do_train()
1496                 CV_CALL( sv[k] = (float*)cvMemStorageAlloc( storage, sample_size ));  in do_train()
1542     CV_CALL( set_params( _params ));  in train()
1547     CV_CALL( cvPrepareTrainData( "CvSVM::train", _train_data, CV_ROW_SAMPLE,  in train()
1564     CV_CALL( storage = cvCreateMemStorage(block_size));  in train()
1565     CV_CALL( temp_storage = cvCreateChildMemStorage(storage));  in train()
1566     CV_CALL( alpha = (double*)cvMemStorageAlloc(temp_storage, sample_count*sizeof(double)));  in train()
1629     CV_CALL(set_params( _params ));  in train_auto()
1640         CV_CALL(C_grid.check());  in train_auto()
1648         CV_CALL(gamma_grid.check());  in train_auto()
1656         CV_CALL(p_grid.check());  in train_auto()
1664         CV_CALL(nu_grid.check());  in train_auto()
1672         CV_CALL(coef_grid.check());  in train_auto()
1680         CV_CALL(degree_grid.check());  in train_auto()
1700     CV_CALL(cvPrepareTrainData( "CvSVM::train_auto", _train_data, CV_ROW_SAMPLE,  in train_auto()
1716     CV_CALL(storage = cvCreateMemStorage(block_size));  in train_auto()
1717     CV_CALL(temp_storage = cvCreateChildMemStorage(storage));  in train_auto()
1718     CV_CALL(alpha = (double*)cvMemStorageAlloc(temp_storage, sample_count*sizeof(double)));  in train_auto()
1859 …CV_CALL(ok = do_train( svm_type, sample_count, var_count, samples, responses, temp_storage, alpha …  in train_auto()
1897     CV_CALL( cvPreparePredictData( sample, var_all, var_idx,  in predict()
1905         CV_CALL( buffer = (Qfloat*)cvStackAlloc( buf_sz ));  in predict()
1909         CV_CALL( buffer = (Qfloat*)cvAlloc( buf_sz ));  in predict()
2227     CV_CALL( class_labels = (CvMat*)cvReadByName( fs, svm_node, "class_labels" ));  in read()
2228     CV_CALL( class_weights = (CvMat*)cvReadByName( fs, svm_node, "class_weights" ));  in read()
2229     CV_CALL( var_idx = (CvMat*)cvReadByName( fs, svm_node, "comp_idx" ));  in read()
2246     CV_CALL( storage = cvCreateMemStorage( block_size ));  in read()
2247     CV_CALL( sv = (float**)cvMemStorageAlloc( storage,  in read()
2250     CV_CALL( cvStartReadSeq( sv_node->data.seq, &reader, 0 ));  in read()
2259         CV_CALL( sv[i] = (float*)cvMemStorageAlloc( storage, sv_size ));  in read()
2260         CV_CALL( cvReadRawData( fs, sv_elem, sv[i], "f" ));  in read()
2272     CV_CALL( df = decision_func = (CvSVMDecisionFunc*)cvAlloc( df_count*sizeof(df[0]) ));  in read()
2292         CV_CALL( df[i].alpha = (double*)cvMemStorageAlloc( storage,  in read()
2296         CV_CALL( cvReadRawData( fs, alpha_node, df[i].alpha, "d" ));  in read()
2303             CV_CALL( df[i].sv_index = (int*)cvMemStorageAlloc( storage,  in read()
2307             CV_CALL( cvReadRawData( fs, index_node, df[i].sv_index, "i" ));  in read()
2340     CV_CALL( dst = icvCreateSVM() );
2357     CV_CALL( dst->storage = cvCreateMemStorage( src->storage->block_size ));
2358     CV_CALL( dst->sv = (float**)cvMemStorageAlloc( dst->storage,
2365         CV_CALL( dst->sv[i] = (float*)cvMemStorageAlloc( dst->storage, sv_size ));
2371     CV_CALL( dst->decision_func = cvAlloc( df_count*sizeof(CvSVMDecisionFunc) ));
2382         CV_CALL( ddf->alpha = (double*)cvMemStorageAlloc( dst->storage,
2388             CV_CALL( ddf->sv_index = (int*)cvMemStorageAlloc( dst->storage,
2648                 CV_CALL(rate = cvCrossValidation( train_data, tflag, responses, &cvTrainSVM,
2679     CV_CALL(svm = cvTrainSVM( train_data, tflag, responses, model_params, comp_idx, sample_idx ));