Zero-One Loss in Classification about sage

[iancovert]

Hi, thanks for adding this! It looks reasonable to me and I can't think of anything else you would need to consider when implementing it. The existing modules should make it easy to swap in a new loss function like this.

Submitting a PR would be great, if you're willing to. Would you also consider adding a notebook, or an example with this loss function to one of the existing notebooks? Just so we can verify that it yields reasonable results.

[KarelZe]

@iancovert Thanks for your feedback. 🎉

I'd love to contribute this feature. I'll also prepare a notebook and maybe some tests. It will take me some time, as I'm working on my thesis.

[iancovert]

That sounds great! And no rush, I'm also working on my thesis so I understand :)

[iancovert]

Sorry it took me a while, but I just merged your PR. I checked out the code and it all looks reasonable, thanks for the contribution and for using the package!