Add Gamma regressor#1021
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Pull request overview
This PR adds a probabilistic regression adapter for sklearn.linear_model.GammaRegressor to the skpro regressor interface (Fix #7).
Changes:
- Introduces
skpro.regression.linear.GammaRegressorwrapping sklearn’sGammaRegressor. - Implements variance and full predictive distribution output via a
Gammadistribution. - Exposes the new regressor from
skpro.regression.linearvia__init__.py.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
skpro/regression/linear/_sklearn_gamma.py |
New sklearn adapter implementing fit/predict/predict_var/predict_proba for Gamma GLM. |
skpro/regression/linear/__init__.py |
Re-exports GammaRegressor from the linear regression module. |
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Reference Issues/PRs
Extends #7
What does this implement/fix? Explain your changes.
This Pr adapts
sklearn.GammaRegressorforskprointerface.