Cross Reference: /external/opencv/ml/src/ml_inner

Lines Matching refs:cols
160     int dim = sample->cols;
220     int dim = sample->cols;
277     int dim = data ? data->cols : 0;
345     CV_ASSERT (center->cols == desired_matrix->cols);
347     dim = desired_matrix->cols;
377     int rows, cols;
385     cols = matrix->cols;
405                 for( j = i+1; j < cols; j++, src += step )
425                 for( j = i+1; j < cols; j++, src += step )
475     if( idx_arr->rows != 1 && idx_arr->cols != 1 )
478     idx_total = idx_arr->rows + idx_arr->cols - 1;
585     if( var_type->rows != 1 && var_type->cols != 1 )
591     tm_size = var_type->rows + var_type->cols - 1;
604             var_idx->rows != 1 && var_idx->cols != 1 || !CV_IS_MAT_CONT(var_idx->type) )
606         if( var_idx->rows + var_idx->cols - 1 > var_count )
609         var_count = var_idx->rows + var_idx->cols - 1;
646     if( responses->rows != 1 && responses->cols != 1 )
649     if( responses->rows + responses->cols - 1 != sample_count )
668             sample_idx->rows != 1 && sample_idx->cols != 1 || !CV_IS_MAT_CONT(sample_idx->type) )
670         if( sample_idx->rows + sample_idx->cols - 1 > sample_count )
673         sample_count = sample_idx->rows + sample_idx->cols - 1;
736     if( responses->rows != 1 && responses->cols != 1 )
739     if( responses->rows + responses->cols - 1 != sample_count )
752             sample_idx->rows != 1 && sample_idx->cols != 1 || !CV_IS_MAT_CONT(sample_idx->type) )
754         if( sample_idx->rows + sample_idx->cols - 1 > sample_count )
757         sample_count = sample_idx->rows + sample_idx->cols - 1;
858     var_count = var_idx ? var_idx->cols + var_idx->rows - 1 :
859                 tflag == CV_ROW_SAMPLE ? train_data->cols : train_data->rows;
860     sample_count = sample_idx ? sample_idx->cols + sample_idx->rows - 1 :
861                    tflag == CV_ROW_SAMPLE ? train_data->rows : train_data->cols;
942         *var_all = tflag == CV_ROW_SAMPLE ? train_data->cols : train_data->rows;
945         *sample_all = tflag == CV_ROW_SAMPLE ? train_data->rows : train_data->cols;
1114     sample_count = classes->cols;
1176     if( !(is_sparse && d == 1 || !is_sparse && d == 2 && (sample->rows == 1 || sample->cols == 1)) )
1193     dims_selected = comp_idx ? comp_idx->cols : dims_all;
1200         if( (prob->rows != 1 && prob->cols != 1) ||
1206         if( prob->rows + prob->cols - 1 != class_count )
1439         samples_selected = sample_idx->cols;
1445         dims_selected = comp_idx->cols;
1455         if( dst_labels->rows != 1 && dst_labels->cols != 1 )
1458         if( dst_labels->rows + dst_labels->cols - 1 != samples_all )
1462         CV_ASSERT( labels->cols == samples_selected );
1479         if( dst_centers->cols != dims_all )
1484         CV_ASSERT( centers->cols == dims_selected );
1497         if( probs->cols != dst_probs->cols )
1509                         cvSize( probs->cols, samples_selected ),
1585         if( sample_idx->cols != 1 && sample_idx->rows != 1 )
1588         samples_selected = sample_idx->rows + sample_idx->cols - 1;
1602     if( predict_output->rows != 1 && predict_output->cols != 1 )
1605     if( predict_output->rows + predict_output->cols - 1 != samples_all )
1771     new_n = new_response_map->cols;
1778     old_n = old_response_map->cols;
1830     samples = _responses->cols + _responses->rows - 1;
1903     nclusters = probs->cols;
1905     CV_ASSERT( nsamples == labels->cols );
1911         labels->data.i[i] = icvGetNumberOfCluster( probs->data.db + i*probs->cols,