In research, a lot of the time we will be comparing machine learning approaches to non-machine learning approaches. For the latter, there isn’t usually a notion of “iterations” or “epochs”. The model does what it does and outputs an error. Since the idea would be to code all the experiments in the same framework, I was wondering how to use ignite for non-learning based approaches/if it makes sense to do that. For instance, does it make sense to use ignite’s “metrics” class for a non-learning based approach? Does using any of ignite make sense for non-learning approaches?
Thanks!