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.

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

Update sim_fit.rst #128

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update sim_fit.rst #128

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion docs/source/references/sim_fit.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,8 @@ Fitting
PyPWA supplies a single wrapper around iMinuit's module. This is a
convenience function to make working with Minuit's parameters easier.
However, if wanting to use a different fitting function, like Scikit or
Scipy, the likelihoods should work natively with them.
Scipy, the likelihoods should work natively with them. In addition,
PyPWA also supplies a wrapper around the MCMC package emcee.

Most optimizers built in Python assume the data is some sort of global
variable, and the function passed to them is just accepting parameters
Expand All @@ -118,3 +119,5 @@ they're expecting a function or callable object, and as long as the
parameters they pass are pickle-able.

.. autofunction:: PyPWA.minuit

.. autofunction:: PyPWA.mcmc