Re-factor model processing
- Dominant language
- Python
- Stars
- 65
- Forks
- 11
- Avg merge
- 21h 25m
- Merged PRs (30d)
- 70
Description
**Describe the task**
In retrospect, storing the 4 points around a station is a bad idea. (or at least, if it's going to be stored, it should be stored somewhere else).
The process for downloading and interpolating/machine learning should be adjusted to just go directly into a processed table.
**Acceptance Criteria**
- [ ] first
- [ ] second
- [ ] third
**Additional context**
- Add any other context about the task here.
- Or here
Contributor guide
Research direction
No files, tests, or entry points are identified in the issue, so begin by locating the download, interpolation, machine-learning, and model-processing code. Clarify the processed-table design and define completion as removing the four-point station storage while preserving direct processing into the table and verifying the full workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- data, database, machine-learning
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100