For complicated models with many categories the post-fit plotting can be quite time consuming. The easiest way to speed up the process is to introduce parallelisation.
[ ] Functionality to make post-fit plots only for a sub-set of categories in the datacard
[ ] Parallelise sampling (per-category) with batch submission
It would also be nice to have the following features:
[ ] Combine categories
[ ] Simplify sampling for other observables (not fit templates)
For complicated models with many categories the post-fit plotting can be quite time consuming. The easiest way to speed up the process is to introduce parallelisation.
It would also be nice to have the following features: