scikit-learn / scikit-learn/scikit-learn
Add per feature "maximum category" counts to `OrdinalEncoder`
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- Dominant language
- Python
- Stars
- 67.3k
- Forks
- 27.4k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 58
Description
Describe the workflow you want to enable
This is a follow up task for #25677
It would be nice to allow users to specify a per feature number of maxcategories instead of having a global limit as implemented in #25677.
More details in the linked comment.
Describe your proposed solution
Allow users to pass a list of shape (n_features,) or a dict mapping column name to max_categories values to specify the number of maximum categories per feature.
Describe alternatives you've considered, if relevant
No response
Additional context
No response
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 with OrdinalEncoder and read the linked discussion in #25677, including the implementation of the existing global limit. The work is done when users can provide either an (n_features,) list or a column-name-to-max_categories dictionary to set maximum category counts per feature.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100