henrikbostrom / crepes
Python package for conformal prediction
Why this job: works in the areas we cover, but does not say which job it does
What it does
The crepes package implements standard and Mondrian conformal classifiers as well as standard, normalized and Mondrian conformal regressors and predictive systems. While the package allows you to use your own functions to compute difficulty estimates, non-conformity scores and Mondrian categories, there is also a separate module, called crepes.extras, which provides some standard options for these. For testing the underlying assumption of exchangeability, you may use the classes in the module crepes.martingales.
Get started
pip install crepes- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 586
- +1 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.1
- Released 5 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 72% closed
- 9 still open
- Pull requests
- 0 merged
- 7 waiting
- Releases
- 15
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- machine-learning
- conformal-prediction
- conformal-regressors
- conformal-predictive-systems
- python
- jupyter-notebook
- confidence-intervals
- cumulative-distribution-function
- regression
- sklearn
- prediction-intervals
- uncertainty-quantification
Project record
- JobOther AI tools
- StatusListed
- Commits214
- Forks50
- Watching4
- Stars in 28 days+3
- CreatedNov 17, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
