JuliaAI / JuliaAI/MLJModelRegistryTools.jl
Model providing packages that wrap python appear to be incompatible with one another on the python side
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- Dominant language
- Julia
- Stars
- 0
- Forks
- 0
- Avg merge
- 28m
- Merged PRs (30d)
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Description
There have been issues in which the model providing packages that wrap python using PythonCall cannot successfully resolve a mutually compatible python environment. (It seems that PythonCall/CondaPkg do not provide for separate python environments for julia-python packages that are to be imported simultaneously. ) In that case calling update() will likely fail. The workaround is to skip those packages with update(skip=...) and then update each one separately, as in update("MLJScikitlearnInterface", manifest=false).
At time of writing, the effected packages are:
- MLJSckitlearnInterface
- OutlierDetectionPython
- CatBoost
Contributor guide
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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
Start with the update() workflow and the PythonCall/CondaPkg environment resolution described in the issue. Reproduce the failure while updating MLJSckitlearnInterface, OutlierDetectionPython, and CatBoost together; done means mutually compatible Python environments can be resolved without requiring separate update calls.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, python
- Domain
- machine-learning, tooling
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100