NNETAR normalization when linout=FALSE.
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improvement
wontfix
- Dominant language
- R
- Stars
- 588
- Forks
- 71
- Avg merge
- 1h 58m
- Merged PRs (30d)
- 1
Description
NNETAR currently normalizes the response variable. This is ok when linout=TRUE, but when linout=FALSE, a logistic activation function is used and the response is assumed to be binary. So it should not be normalized.
Contributor guide
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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
Start by locating the NNETAR implementation and read how response normalization depends on linout. Verify that normalization is skipped when linout=FALSE while preserving the current behavior for linout=TRUE; add or update coverage for both cases if the relevant tests are found.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100