SciML / SciML/DataDrivenDiffEq.jl
Regression-Guided Process Modeler (RPM)
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 430
- Forks
- 58
- Avg merge
- 6h 29m
- Merged PRs (30d)
- 28
Description
Heuristic Induction of Rate-Based Process Models
https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/10046/9291
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
Start by reading the linked AAAI paper on Heuristic Induction of Rate-Based Process Models and compare its RPM method with this repository's existing modeling capabilities. The issue names no files, tests, entry points, or acceptance criteria, so the implementation scope and definition of done would need to be established before coding.
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
- 20/100