New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Adapting this package for Machine Learning #11

Open

asheetal opened this issue Mar 21, 2024 · 0 comments

asheetal commented Mar 21, 2024

This is a fascinating package that I can use in Machine Learning application. The problem here is compute complexity.

We have N votes and M candidates. Unlike normal voting where M typically is {2-10}, while N can be hundreds/thousands or millions.

In ML, I have N about a dozen votes, and M is several hundreds.

This takes a very long time to execute. Any suggestion, how I can adapt this for my "abnormal" use case?

Thanks for this amazing package. Quite useful if I can get it to run in an ML environment.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment