GA with qualitative tuning parameters
Open
Nobody has claimed this yet.
bug
Chapt: Iterative Search
- Dominant language
- HTML
- Stars
- 171
- Forks
- 17
- Avg merge
- 12d 6h
- Merged PRs (30d)
- 2
Description
@kjell-stattenacity reminded me that we can crossover and mutate qualitative values. The roadblock is the implementations I've seen, not the mathematics of the problem.
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
Start by locating the repository's genetic-algorithm and parameter-tuning implementation; the issue names no files or tests. Review how crossover and mutation currently handle values, then clarify the expected behavior for qualitative values and add coverage showing that both operations support them.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100