Support cubist rules regressor equivalent
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 120
- Forks
- 9
- Avg merge
- 11d 6m
- Merged PRs (30d)
- 2
Description
There doesn't seem to be a direct equivalent of cubist_rule in SciKit-Learn.
There is a scikit-learn compatible estimator in https://github.com/pjaselin/Cubist but we would have to implement all translation from scratch
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 reviewing orbital's existing SciKit-Learn estimator translation approach and how the project handles unsupported estimators. Investigate the linked Cubist implementation and determine the translation scope needed for cubist_rule. Done means orbital can support the Cubist rules regressor as a SciKit-Learn-compatible pipeline component.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100