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Related Issues (20)
- Create a new Superset Dashboard with KPIs and metrics specific to the use-case OSP and some relevant metrics like number of tests, time-to-test, mean time to failure, etc. HOT 1
- Scale19x: Data Science Workshop Feedback
- Workshop in Opf DS Meetup - Changes and Tasks to be done
- Explore Kata Containers github repository
- Use base container image for TTM github action workflow HOT 2
- Pass env vars to github action workflow from curl and action secret HOT 3
- Simplify notebooks in TTM workflow
- Create user documentation and architecture diagram for TTM Github action workflow HOT 2
- AI4 OSC: Q4 OKRS
- Save trained model output of github action workflow as an image
- Explore option of creating a container action and using that in the github action workflow
- Export Github action workflow as a job HOT 1
- Encrypt env variables being passed to github workflow HOT 3
- Add model validation nb to github workflow pipeline HOT 1
- Add functionality to train TTM on multiple repos HOT 6
- Add model deployment to github workflow HOT 2
- Simplify feature engg and model training nb to remove unnecessary experimental code HOT 1
- Change the methodology of choosing the model (it is currently hard-code in yaml). Edit the notebook to pick the best model based on performance metrics HOT 1
- Consider possibly combining feature engineering with model training steps
- No pinned version for package src
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