Dev: Determine if model_run_predictions can be dropped
- Dominant language
- Python
- Stars
- 65
- Forks
- 11
- Avg merge
- 21h 25m
- Merged PRs (30d)
- 70
Description
**Describe the task**
`model_run_predictions` looks to be used only to fill `weather_station_model_predictions`, determine if that's true and we can drop `model_run_predictions`.
**Acceptance Criteria**
- [ ] Be able to answer yes or no to dropping `model_run_predictions`
- [ ] Verify we can use `weather_station_model_predictions` in place of `model_run_predictions` for machine learning
- [ ] Any follow up tasks written based on the above (if necessary)
**Additional context**
- Add any other context about the task here.
- Or here
Contributor guide
Research direction
Search the repository and database-related configuration for references to model_run_predictions and weather_station_model_predictions, then trace how each is populated and consumed. Check the machine-learning workflow's inputs and document whether weather_station_model_predictions can replace model_run_predictions. Done means a supported yes-or-no decision and any required follow-up tasks are recorded.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- postgresql, python
- Domain
- databases, machine-learning
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 32/100