1057             CvMat _sample, _mask;  in update_weights()  local
1064             _sample = cvMat( 1, data->var_count, CV_32F );  in update_weights()
1071                     _sample.data.fl = values;  in update_weights()
1073                     values += _sample.cols;  in update_weights()
1075                     weak_eval->data.db[i] = tree->predict( &_sample, &_mask, true )->value;  in update_weights()
1262 CvBoost::predict( const CvMat* _sample, const CvMat* _missing,  in predict()  argument
1287     if( !CV_IS_MAT(_sample) || CV_MAT_TYPE(_sample->type) != CV_32FC1 ||  in predict()
1288         _sample->cols != 1 && _sample->rows != 1 ||  in predict()
1289         _sample->cols + _sample->rows - 1 != data->var_all && !raw_mode ||  in predict()
1290         _sample->cols + _sample->rows - 1 != data->var_count && raw_mode )  in predict()
1298             !CV_ARE_SIZES_EQ(_missing, _sample) )  in predict()
1350         src_sample = _sample->data.fl;  in predict()
1351         step = CV_IS_MAT_CONT(_sample->type) ? 1 : _sample->step/sizeof(src_sample[0]);  in predict()
1401         _sample = &sample;  in predict()
1420         val = wtree->predict( _sample, _missing, true )->value;  in predict()