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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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

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  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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