Hi!,

When sbi is used in Google Colab, the progress of the training (print of epochs ) does not work. However it works perfectly in my laptop.

It seems that Google colab does not show anything if the print is like print(idx, end="\r") but it does if print('\r', idx, end='').
Look also here. To check the behaviour just type this in

Suppose one chain is stuck on one mode; another on another mode. If those two chains may sample independently from each mode, the ESSs will be high when, really, they should be near zero since the samples don't represent anything like independently from the overall distribution. This is why multichain ESS makes sense and we should implement it. I feel like this will give a much better picture of t

Currently, values for the llh, gradient, the computed trajectories of states and observables, or the sensitivities are checked in unit tests.
Unfortunately, some bugs, such as incorrect Jacobians or switched minus signs in the Newton solver, will not necessarily affect those quantities. However, they will substantially impact solver performance, by causing way too many steps to be taken. Hence, w

https://github.com/ICB-DCM/pyPESTO/blob/625c41911fdee2608e736321d9e9050ac90f7ba4/pypesto/visualize/clust_color.py#L253

https://github.com/ICB-DCM/pyPESTO/blob/625c41911fdee2608e736321d9e9050ac90f7ba4/pypesto/visualize/clust_color.py#L207

https://journals.plos.org/ploscompbiol/article?rev=1&id=10.1371/journal.pcbi.1006944

Complexity estimate: medium