pymc-devs / pymc-devs/pymc-examples
Extend GLM-Rolling-Regression with HSGP
Open
Nobody has claimed this yet.
proposal
- Dominant language
- Python
- Stars
- 398
- Forks
- 325
- Avg merge
- 9d 15m
- Merged PRs (30d)
- 1
Description
Notebook update proposal
Title: GLM-Rolling-Regression-Update
Why should this notebook be added to pymc-examples?
Instead of gaussian random walk use HSGP! HSGP is cool
Suggested categories:
- Level: advanced
Related notebooks
References
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 related GLM-rolling-regression example and compare it with the referenced GLM-rolling-regression-HSGP gist. Trace how the notebook currently uses a Gaussian random walk, then use the HSGP reference to define the updated example. Done means the notebook presents the HSGP-based rolling regression as an advanced example.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- documentation, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100