Support multiple targets (multidimensional) `y`
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start with GeneralizedLinearRegressor.fit and compare the referenced scikit-learn ElasticNet behavior for multidimensional y. Trace how targets are currently handled, then verify that Gaussian GeneralizedLinearRegressor accepts multiple targets and behaves as a drop-in replacement for the referenced scikit-learn variants.
Written by the indexing model from the issue text.
Description
The sklearn.linear_model.ElasticNet (and friends) support this (ref). They simply iterate over each target. Supporting this would make it easier to use GeneralizedLinearRegressor(family="gaussian") as a drop-in replacement for the sklearn variants.
- Dominant language
- Python
- Stars
- 386
- Forks
- 36
- Avg merge
- 23h 24m
- Merged PRs (30d)
- 2
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.
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