Helmholtz-AI-Energy / Helmholtz-AI-Energy/propulate
Multi objective optimization
Open
enhancement
- Dominant language
- Python
- Stars
- 46
- Forks
- 9
- PR merge metrics
- No merged PRs in 30d
Description
Enable returning a tuple instead of a scalar.
Some Propagators have to be adapted.
Should make the implementation of dynamic multi objective optimization easier.
Contributor guide
Research direction
Start by tracing the Propagators mentioned in the issue and identify where optimization results are currently required to be scalars. Determine which interfaces need to accept tuples and define how dynamic multi-objective optimization should be represented; done means the affected Propagators support tuple results and the behavior is covered by tests.
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
- 20/100