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This is a great project. Currently, it focuses on classification and squared error problems. It would be very nice to have one benchmark for Poisson GLMs, see e.g. https://github.com/scikit-learn/scik…
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In a partial repeat of #59 I would like to again request the addition of poisson regression models, in their various forms. Just today I came across this paper, which presents the Bayesian implem…
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There has been several requests for group lasso regularised Poisson regression. This was more difficult than first thought as the gradient of the Poisson loss is not globally Lipschitz.
The loss gr…
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I remember darkly some issues about new objectives/gains choices for ranger. One very relevant one is Poisson regression for (pseudo-)counts. Why? It is one of the standard approaches to model number …
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Having a benchmark for Poisson GLMs (mainly/ almost unpenalized) would be a great addition, e.g., something like
- https://scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_n…
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## Context
Currently, the `predict` method is disabled for Poisson Regression with fixed effects. Unfortunately, I cannot recall why... 😅
## To do
- Enable `predict()` for Poisson regression with …
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Hi @PhilipDeegan
When I run `python setup.py build_ext --inplace pytest`, I get 5 failures and 1 error: please see below.
Could you please explain why this is happening? Can I simply ignore th…
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Probably second to last issue (I'll be trying tomorrow the batch function). What about including Poisson regression (outcome is a count variable)? That's the third most common form of regression and i…
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Maria Kamenetsky (University of Wisconsin) writes:
> With grpreg, I see that you have the option to use the Poisson distribution for the family, but I am unable to find an option to include an offs…
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**Notebook title**: [GLM: Poisson Regression](https://www.pymc.io/projects/examples/en/latest/generalized_linear_models/GLM-poisson-regression.html)
**Notebook url**: https://www.pymc.io/projects/exa…