pymc-devs / pymc-devs/pymc-examples
Improvements for Regression Models with Ordered Categorical Outcomes Notebook
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- Dominant language
- Python
- Stars
- 398
- Forks
- 325
- Avg merge
- 9d 15m
- Merged PRs (30d)
- 1
Description
Notebook title: Regression Models with Ordered Categorical Outcomes
Notebook url: https://www.pymc.io/projects/examples/en/latest/generalized_linear_models/GLM-ordinal-regression.html
Issue description
Improve the notebook:
- improve styling of latex equations
- replace univariate_ordered with ordered
- improve random values generation
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 the linked Regression Models with Ordered Categorical Outcomes notebook and inspect its current equations, ordered-category variable usage, and random-value generation. Done means the notebook has improved LaTeX styling, uses ordered instead of univariate_ordered, and generates random values in the intended improved way.
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