Polina Lakrisenko
Polina Lakrisenko
Which information from the optimization result should be used for visualization table generation? I mean, is there a reason why you think in should be implemented in pyPESTO? Have you...
Thank you for the explanation! In this case, it probably makes more sense to fix #445 and implement #259. Then one can just use `OptimizeResult.get_for_key`.
I think one could test that on the Isensee model. It has both
> In the current implementation (i) and (ii) can't be controlled independently by the user, but have to be set via `SteadyStateSensitivityMode` and `SensitivityMethodPreequilibration` But `SteadyStateSensitivityMode` and `SensitivityMethodPreequilibration` don't control...
[Zheng_PNAS2012_simulated_w_nominal_values.csv](https://github.com/Benchmarking-Initiative/Benchmark-Models-PEtab/files/10827190/Zheng_PNAS2012_simulated_w_nominal_values.csv) Also, [2] is different from what I get when simulating with nominal values from parameter table
> AMICI has Newton's method and some methods tailored for sensitivities, to speed up simulation and gradient computation for steady-state data specifically. Yes, and, by default, the Newton's method is...