pymc-devs / pymc-devs/pymc-examples
Highlight backends in "faster sampler nb"
Open
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proposal
- Dominant language
- Python
- Stars
- 398
- Forks
- 325
- Avg merge
- 9d 15m
- Merged PRs (30d)
- 1
Description
Besides showing other samplers, we can also show the pymc samplers (prior, sample and posterior pred) using different backends with compile_kwargs={"mode": "JAX"|"NUMBA"}
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
Find the notebook referred to as "faster sampler nb" and read its existing sampler examples. Extend the prior, sample, and posterior predictive examples to show the JAX and NUMBA backends using the stated compile_kwargs modes. Done means the notebook visibly covers both backends for these sampler stages and runs successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- documentation, machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100