Add YeoJohnson transformer
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- julia
- Domain
- machine-learning
Research direction
Start by reading the linked YeoJohnsonTrans.jl implementation and compare it with the existing BoxCox transformer in MLJTransforms.jl. Confirm the expected transformer behavior and integration points, then add the Yeo-Johnson transformer with coverage matching the repository's existing transformation tests.
Written by the indexing model from the issue text.
Description
Here: https://github.com/tk3369/YeoJohnsonTrans.jl with creds to Tom Kwong
it's in a similar vein to BoxCox
- Dominant language
- Julia
- Stars
- 1
- Forks
- 2
- Avg merge
- 9d 22h
- Merged PRs (30d)
- 2
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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