NiaPy

NiaPy copied to clipboard

It would be great if the results could be statsticially evaluated after all experiments are done. At least the Friedman and Wilcox tests?

I think it should be made possible that results of other algorithms could be supplied in order to do the statistical test? For example if I would have my own algorithm for optimization, and would not be bothered to include it into the Niapy library, I would like to have an option to provide my own results in a specific format, which could be used in statistical evaluation against the algorithms in Niapy. I hope I made sense.

+1

+1