Non-bijective deterministic objective
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- Dominant language
- Python
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Description
Hi, I have been using numpyro for my research and have been finding it very useful!
I had a quick question which isn't clear to me from the documentation. Is there a way to have an observation I want to condition on be the result of a non-bijective deterministic function? I saw in this issue #932 that this can be done using the TransformedDistribution API with a bijective transform. Is this not possible with a non-bijective transform?
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
Start by reviewing issue #932 and the TransformedDistribution API referenced in the report, then trace how NumPyro handles deterministic observations. Establish whether non-bijective transforms are supported and define the expected behavior and coverage needed for a complete solution.
Written by the indexing model from the issue text.
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