PEtab-dev / PEtab-dev/petab_sciml
Automatic hybridization of NN model inputs and outputs
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 11
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
If an NN model input or output matches a ODE model species or parameter, we can already hybridize it without requiring the hybridization table.
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 locating the code that handles neural-network model inputs and outputs and the existing hybridization table. Trace how ODE species and parameters are matched today, then determine where matching NN inputs or outputs can trigger hybridization without table entries. Done means matching names are hybridized automatically while unrelated inputs and outputs retain current behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100