When working in python for research I often end up with some problem where I want to compare a result over a different number of parameters.
params1 = [0.1, 0.2, 0.3] params2 = [5, 10, 50] parmas3 = range(8) for (p1, p2, p3) in itertools.product(params1, params2, params3): result = evaluate(p1, p2, p3)
Is there some module or framework to manage a setup like this for many parameters, where I have a good way to
- save the results
- plot and analyse them conveniently
- probably running multiple experiments in parallel
- maybe even some caching and saving of intermediate results (e.g. if you want to continue the run later
I was thinking that this must be a pretty common pattern, but I was not able to find something that even slightly goes into this direction.