alan-turing-institute / alan-turing-institute/cloudcasting
Should we continue to disallow nans in predictions?
Open
- Dominant language
- Jupyter Notebook
- Stars
- 15
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
https://github.com/alan-turing-institute/cloudcasting/blob/d84dde0a2f115dc6d7f9f6dcbd5ff0d951b210b9/src/cloudcasting/models.py#L41-L43
Not fully convinced we need this now that our metrics handle NaNs gracefully.
Contributor guide
Research direction
Start by reading the linked validation in src/cloudcasting/models.py around lines 41-43 and review how the existing metrics handle NaNs. Done means reaching and documenting a decision on whether predictions should continue to reject NaNs.
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