rick12000 / confopt
A Library for Conformal Hyperparameter Tuning
Why this job: works in the areas we cover, but does not say which job it does
What it does
Built for machine learning practitioners requiring flexible and robust hyperparameter tuning, ConfOpt delivers superior optimization performance through conformal uncertainty quantification and a wide selection of surrogate models.
Get started
pip install confopt- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 106
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.0
- Released 13 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 10 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- automl
- conformal-prediction
- hyperparameter-optimization
- hyperparameter-tuning
- inferential-statistics
- machine-learning
- predictive-modeling
Project record
- JobOther AI tools
- StatusListed
- Commits40
- Forks6
- Watching3
- Stars in 28 days0
- CreatedDec 9, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026