Skip to content
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.

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

Mixture of Bernoulli distributions #12055

Closed
clumsyfox-z9o9z opened this issue Sep 12, 2018 · 4 comments
Closed

Mixture of Bernoulli distributions #12055

clumsyfox-z9o9z opened this issue Sep 12, 2018 · 4 comments

Comments

@clumsyfox-z9o9z
Copy link

Description

Is there some intention to implement a mixture of Bernoulli distributions? Could be a great feature to perform anomaly detection with discrete quantities as well.

If you are not aversed to this idea I would like to implement it with EM.

What do you think?

@jnothman
Copy link
Member

jnothman commented Sep 12, 2018 via email

@clumsyfox-z9o9z
Copy link
Author

Ok, I started working on it for my own benefit and hopefully I can show up some nice examples in the end. We will see... ;-) On that basis it might be easier to decide if you like to include it or not.

@ben-dilday-enigma
Copy link

ben-dilday-enigma commented May 24, 2019

I also had a need for a Bernoulli mixture model and ended up implementing one for my own use. I am contributing that code as a PR.

@adrinjalali
Copy link
Member

There hasn't been much support to add this unfortunately. So closing this issue and the corresponding PR. Happy to reopen if other @scikit-learn/core-devs think we should include this.

@adrinjalali adrinjalali closed this as not planned Won't fix, can't repro, duplicate, stale Mar 6, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging a pull request may close this issue.

5 participants