tinygp and emcee
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- Dominant language
- Python
- Stars
- 349
- Forks
- 35
- Avg merge
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- Merged PRs (30d)
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Description
Hi,
I have a code that samples a likelihood function using emcee in a multithreaded framework. the likelihood is computed by tinygp.
Now I have vectorized part of the likelihod function for running on GPUs and wonder about the smartest way to use tinygp in a vectorized flavor. I've been looking for tutorials (not an expert here, unfortunately) but I could only find one of yours using numpyro. Is there any specific reason not to use emcee? More importantly, is there a way to use tinygp in a vectorized way?
Thanks
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Research direction
The issue names no files, tests, or entry points. Start by reviewing tinygp’s current API and documentation for batched or vectorized evaluation, then define a concrete supported behavior and acceptance tests with the maintainers.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100