google-deepmind / google-deepmind/weathernext
Data required for prediction
Open
- Dominant language
- Python
- Stars
- 7.7k
- Forks
- 986
- PR merge metrics
- No merged PRs in 30d
Description
In order to get the predictions for 6 hours later, we need to pass the current weather values and the values 6 hours earlier. However what about the geospatial values, is data for all coordinates required as input or a subset of coordinates can be passed as input, as per the use case?
Contributor guide
Research direction
No files, tests, or entry points are named. Start by reviewing the prediction input interface and documentation to determine whether geospatial inputs must cover all coordinates or may be a subset, then confirm the expected behavior with the maintainers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100