catboost method to embed categorical variables
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Nobody has claimed this yet.
feature
- Dominant language
- R
- Stars
- 146
- Forks
- 23
- PR merge metrics
- No merged PRs in 30d
Description
Hi Emil,
I am planning to implement a step_catboost (on these lines). IMHO, it should belong here.
Let me know if you are open for PR?
Contributor guide
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 reading the referenced category_encoders/cat_boost.py implementation and the embed repository's existing step_* methods. Determine how a step_catboost method should fit the package's predictor-embedding workflow, then verify that the implementation handles categorical variables as intended before opening a PR.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100