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

Speed up parameter inference #14

Open
lucasmaystre opened this issue May 27, 2020 · 1 comment
Open

Speed up parameter inference #14

lucasmaystre opened this issue May 27, 2020 · 1 comment

Comments

@lucasmaystre
Copy link
Owner

Currently the various parameter inference algorithms are implemented in pure python (with some vectorized operations via numpy).

Since most of these algorithms are iterative, the implementation is still relatively slow and inefficient. From experience, numba could potentially speed up the code by several orders of magnitude.

I hence intend to speed up some of the inference algorithms with numba, starting with the opt_* functions.

@sethtroisi
Copy link

You might consider checking out cython

http://stephanhoyer.com/2015/04/09/numba-vs-cython-how-to-choose/

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants