Stephan Grein

Btw.: You write fast, do you have any benchmark to confirm this? And what do you mean by fast (Which operations)?

Please rephrase your question. Maybe you can have a look at SE.

I second the suggestion by @elbaraim - Perhaps the right idea would be to modify the `tqdm` decorator (by adding a parameter for the write out interval) or implement another...

`trace_save_iter` from class `pypesto.HistoryOptions`? (I think this is wrong, but maybe isn't.)

@FFroehlich okay -> Concerning my related problem, I presume saving a `results.h5` file collecting all already finished optimization runs (Let's say I'm doing 100 total runs and I want to...

@yannikschaelte so the following code should update my `results.csv` or `results.h5` after the completion of each optimization run? ``` history_name = f"results_{date.today()}.csv" # or .h5 history_options = pypesto.HistoryOptions(trace_record=True, trace_save_iter=1, storage_file=history_name)...

Hello @PaulJonasJost, yes the interrupted run might be in a "dirty" state, so the file isn't readable afterwards, which is okay (tested). My concern is now the following: When I...

Yes, it won't create the folder, I can share a screencast if required.

Note, additional gradient check method converted to "private" method, as it is will be used only as a helper method in a visualizing routine for gradient consistency (added in my...

Should be corrected now, please review again. Thanks!