Feature request: KFOCI
Nobody has claimed this yet.
- Dominant language
- R
- Stars
- 46
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
There is a R package [KPC](https://cran.r-project.org/web/packages/KPC/) that implements a more general and improved version of FOCI, called KFOCI (Kernel FOCI), that was proposed by Huang et al. The improvement over existing methods in certain settings is quite remarkable, thus I believe it would be a great addition to have functions similar to the ones for FOCI. What do you think?
For categorical variables, it may even be possible to partially (i.e. as long as they have an order) refrain from creating dummy variables by using them as integer-based variables.
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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
Review the repository's existing FOCI functions and compare them with the KPC R package and the KFOCI method proposed by Huang et al. Clarify the desired API, supported categorical-variable behavior, and acceptance criteria before implementation; done should mean the requested KFOCI functionality is integrated with coverage for the agreed cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100