I would like to do some custom post-hoc analysis on various things I’ve logged into tensorboard. I’m doing bootstrapping and want to calculate mean and confidence interval. I know there’s the
ipy widget, and I’ve gotten semi far with that as it gives you
avg_value etc. But I’d like to get access to all the values logged for, say,
precision so that I can calculate the confidence intervals. I know this data is logged in tensorboard and tensorflow has some guides but they do not work with the version of tensorboard that comes with guild. How do you advise I would do something like this?
I can log this separately, sure but it ends up being a pain and cluttering up all my logs. I cannot visualize them the way I’d like in tensorboard, so I’d rather do this analysis ad-hoc when comparing runs myself.