rstudio / rstudio/vetiver-python
Compare multiple models and monitor their stage
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- Dominant language
- Python
- Stars
- 71
- Forks
- 20
- PR merge metrics
- No merged PRs in 30d
Description
Hey folks, vetiver is a pretty nice and straightforward tool to use.
The only important thing I'm missing is the ability to compare multiple models and monitor the stage (e.g. 'production') of each model (as MLflow does).
Do you have plans to add that or it is beyond the scope of vetiver?
And just a side question, in VetiverAPI() is it possible to change to a custom endpoint instead of the default 'predict'?
Thank you
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 by reviewing the VetiverAPI() entry point and the existing model deployment and monitoring interfaces. Determine how multiple models and production stages would be represented, and whether a custom endpoint can be supported. Done would require an agreed scope and implementation for model comparison, stage monitoring, and the endpoint question.
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