autogluon / autogluon/autogluon-assistant
Self-healing on existing ML pipeline
- Dominant language
- Python
- Stars
- 306
- Forks
- 56
- PR merge metrics
- No merged PRs in 30d
Description
I have existing ML pipeline built pre-era of gen ai. now can i integrate this assistant to this ML pipeline where some regression model has been deployed and working for a decade already. can this assistant monitor this pipeline and take decisions on retraining this current regression model automatically? if Yes, HOW. as i know, this assistant is used to create new ML model but integration with current ML pipeline and further self-healing aspects are looking fresh and not documented yet i guess
Contributor guide
Research direction
The issue names no files, tests, or entry points. First clarify whether the request is for documentation or an implementation, and define how the existing regression pipeline should be monitored and when retraining decisions should occur. Done should be a documented, agreed scope or a specified integration with verifiable retraining behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100