pymc-devs / pymc-devs/pymc-examples

GP sparse

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Dominant language
Python
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398
Forks
325
Avg merge
9d 15m
Merged PRs (30d)
1

Description

File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/gaussian_processes/GP-SparseApprox.ipynb
Reviewers:

The sections below may still be pending. If so, the issue is still available, it simply doesn't
have specific guidance yet. Please refer to this overview of updates

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
ArviZ related

Changes for discussion

Changes listed in this section are up for discussion, these are ideas on how to improve
the notebook but may not have a clear implementation, or fix some know issue only partially.

General updates
ArviZ related

Notes

Exotic dependencies
Computing requirements

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with examples/gaussian_processes/GP-SparseApprox.ipynb and compare it with the Notebook updates overview linked in the issue. Review the notebook for required general and ArviZ-related updates, resolve any supported improvements, and leave it in a Best Practices state.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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