Integrate katib with Jupyter notebooks and fairing
Open
cuj/hp-tuning
lifecycle/frozen
- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 542
- PR merge metrics
- No merged PRs in 30d
Description
Allow data scientists to take a training job on fairing and easily configure a katib HP tuning job - without having to write a CRD.
Contributor guide
Research direction
Start by mapping the existing Katib, Fairing, and Jupyter notebook integration entry points and determine how a Fairing training job could configure Katib without directly writing a CRD. Done means a data scientist can launch a Katib hyperparameter-tuning job from a Fairing training workflow with the required configuration supplied through the notebook interface.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, kubernetes, python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100