JuliaTrustworthyAI / ConformalPrediction.jl
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
Why this job: works in the areas we cover, but does not say which job it does
What it does
ConformalPrediction.jl is a package for Predictive Uncertainty Quantification (UQ) through Conformal Prediction (CP) in Julia. It is designed to work with supervised models trained in MLJ (Blaom et al. 2020). Conformal Prediction is easy-to-understand, easy-to-use and model-agnostic and it works under minimal distributional assumptions.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 148
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.1
- Released 8 months ago
- Built with
- Julia
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 61% closed
- 22 still open
- Pull requests
- 55 merged
- 2 waiting
- Releases
- 17
- 2 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
- Julia 100%
Topics
- conformal-prediction
- julia
- machine-learning
- predictive-uncertainty
Project record
- JobOther AI tools
- StatusListed
- Commits414
- Forks10
- Watching5
- Stars in 28 days0
- CreatedSep 26, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026