Saved models are showing a warning that will raise an exception starting from Scikit-learn version 1.8
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- Dominant language
- Python
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Description
STR:
TAG=v0.0.593 python -m scripts.bug_classifier component --bug-id 1989803
Output:
/Users/smujahid/repos/mozilla/bugbug/venv/lib/python3.11/site-packages/sklearn/pipeline.py:62: FutureWarning: This Pipeline instance is not fitted yet. Call 'fit' with appropriate arguments before using other methods such as transform, predict, etc. This will raise an error in 1.8 instead of the current warning.
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 running TAG=v0.0.593 python -m scripts.bug_classifier component --bug-id 1989803 and trace the saved-model loading and prediction path that produces the scikit-learn warning. Identify why the pipeline is used before fitting, then verify the command completes without the warning and remains compatible with the stated Scikit-learn behavior change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100