Comments (2)
- Modify sklearn code to add offsets
- Add offsets to sklearn tests
- Add unit tests for offset-related functions like
_safe_lin_pred
- Add offset to benchmarks
- Check that this is equivalent to the weights trick. See if we are getting better performance with "weights" or "offset"
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Closed by #102
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Related Issues (20)
- Elastic net parameter selection question HOT 13
- GLM tests of scikit-learn HOT 3
- Daily run failure: Unit tests HOT 2
- Several warnings and erros in coef_table HOT 5
- BUG poisson GLM, offset and weighted versions, give wrong result HOT 4
- User facing API for specifying linear models terms HOT 2
- Trouble with importlib library when installing using pip3 HOT 2
- ElasticNet in Glum 2.6.0 is twice as slow as Scikit-learn 1.3.2 HOT 5
- Way to generate confidence interval for predictions? HOT 6
- Get p-value of a categorical model field? HOT 1
- Cross Validation for P2 HOT 3
- Clarify effect of `scale_predictors` on penalization in docstring HOT 7
- Significant difference in model coefficients for binomial distribution? HOT 8
- Daily run failure: Unit tests HOT 6
- Inconsistent coefficient values HOT 2
- Benchmark removal of libblas dependency HOT 4
- scikit-learn 1.5.0 breaks glum HOT 1
- Use pixi for setting up the dev environment HOT 2
- Daily run failure: Unit tests
- glum with ray HOT 3
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