benchopt / benchopt/benchmark_glm
Add Poisson regression / GLM benchmark
- Dominant language
- Python
- Stars
- 1
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
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/scikit-learn/pull/26707 with the French Motor Third-Party Liability Claims dataset https://www.openml.org/d/41214.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the existing classification and squared-error benchmarks in this repository, then read scikit-learn PR 26707 and inspect the French Motor Third-Party Liability Claims dataset on OpenML (41214). Done means the project includes one Poisson GLM benchmark based on that dataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100