[KEY FEATURE] Use premade datasets / models
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 25
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
Users should have access to a library of (trusted/tuned/validated) datasets and models -- such as PyPSA-Europe -- that they can work from. (The difference between a dataset and model in this case is the level of control the user has, but it's a blurry boundary.)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are mentioned. Start by clarifying the intended library scope, how trusted datasets and models should be selected, and the distinction between them. Done should include an agreed design and a defined way for users to access validated resources.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100