Is the API functional?
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Description
One of the biggest pain of PyMC GP is that it holds reference to live variables from the graph in the class instance (self.sigma or whatever), so we can't operate on the PyMC model as a graph directly (say pm.observe, pm.do, pm.marginalize ...).
Does this sort of problem persist in this design?
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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
The issue names no file or test. Start by tracing the GP class and how it handles live PyMC or PyTensor variables, then check behavior with pm.observe, pm.do, and pm.marginalize. Done means documenting whether the design preserves graph operations and defining a reproducible case and agreed change if it does not.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend-api-design, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100