-
Notifications
You must be signed in to change notification settings - Fork 9
Add generic observation processes which combine the convolution with the noise model. #644
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
base: main
Are you sure you want to change the base?
Conversation
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #644 +/- ##
==========================================
+ Coverage 96.98% 97.54% +0.56%
==========================================
Files 42 47 +5
Lines 1094 1305 +211
==========================================
+ Hits 1061 1273 +212
+ Misses 33 32 -1
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
|
|
Thank you for your contribution @cdc-mitzimorris 🚀! Your github-pages is ready for download 👉 here 👈! |
…ents, 'aggregate' instead of 'jurisdiction'
…ents, 'aggregate' instead of 'jurisdiction'
for more information, see https://pre-commit.ci
This PR adds work that was done in https://github.com/cdcent/cfa-pyrenew-hierarchical/pull/4 to PyRenew.
It adds the base observation process class, concrete implementations for Count processes and the abstract base class for Measurement processes, together with unit tests and two new tutorials for count and measurement observation processes respectively.
Once this PR and the work done in https://github.com/cdcent/cfa-pyrenew-hierarchical/pull/5 have been added to PyRenew, subsequent PRs will deprecate unused features and harmonize the documentation and tutorials.