SciML / SciML/EasyModelAnalysis.jl
Super Ensemble Model calibration
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 87
- Forks
- 14
- Avg merge
- 21h 12m
- Merged PRs (30d)
- 19
Description
Take all of the models and the skill weights as parameters and fit the whole model together.
Contributor guide
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
The issue names no files, tests, or entry points. First map how models and skill weights are currently represented and fitted in the package, then define the expected joint-calibration behavior and tests that would show the ensemble is fitted correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100