get_evt_subarray_model_output#
- protopipe.mva.get_evt_subarray_model_output(data, weight_name=None, keep_cols=['reco_energy'], model_output_name='score_img', model_output_name_evt='score')[source]#
Returns DataStore with keepcols + score/target columns of model at the level-subarray-event.
- Parameters
- data: `~pandas.DataFrame`
Data frame
- weight_name: `str`
Variable name in data frame to weight events with
- keep_cols: `list`, optional
List of variables to keep in resulting data frame
- model_output_name: `str`, optional
Name of model output (image level)
- model_output_name_evt: `str`, optional
Name of averaged model output (event level)
- Returns
- ——-
- data: `~pandas.DataFrame`
Data frame