pymc-devs / pymc-devs/pymc-examples
Conditional Autoregressive (CAR) model
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- Dominant language
- Python
- Stars
- 398
- Forks
- 325
- Avg merge
- 9d 15m
- Merged PRs (30d)
- 1
Description
File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/case_studies/conditional-autoregressive-model.ipynb
Reviewers: @junpenglao
Known changes needed
Changes listed in this section should all be done at some point in order to get this
notebook to a "Best Practices" state. However, these are probably not enough!
Make sure to thoroughly review the notebook and search for other updates.
General updates
- There seems to be a markdown formatting issue in section "PyMC3 implementation using Sparse Matrix"
Notes
Exotic dependencies
None
Computing requirements
Most models run in less than 2 minutes, one seems to take ~5mins
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open examples/case_studies/conditional-autoregressive-model.ipynb and inspect the “PyMC3 implementation using Sparse Matrix” section first, then review the rest of the notebook for the stated Best Practices updates. Run the notebook cells, allowing extra time for the model that takes about five minutes, and consider the work done when the formatting issue and other identified update needs are addressed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100