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2 changes: 1 addition & 1 deletion README.md
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# ConformalPrediction

`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](https://alan-turing-institute.github.io/MLJ.jl/dev/) (Blaom et al. 2020). Conformal Prediction is easy-to-understand, easy-to-use and model-agnostic and it works under minimal distributional assumptions.
`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](https://juliaai.github.io/MLJ.jl/dev/) (Blaom et al. 2020). Conformal Prediction is easy-to-understand, easy-to-use and model-agnostic and it works under minimal distributional assumptions.

## 🏃 Quick Tour

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fig-prefix: Figure
tbl-prefix: Table
bibliography: https://raw.githubusercontent.com/pat-alt/bib/main/bib.bib
jupyter: julia-1.10
engine: julia
---

![](dev/logo/wide_logo.png)
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[![Package Downloads](https://img.shields.io/badge/dynamic/json?url=http%3A%2F%2Fjuliapkgstats.com%2Fapi%2Fv1%2Fmonthly_downloads%2FConformalPrediction&query=total_requests&suffix=%2Fmonth&label=Downloads)](http://juliapkgstats.com/pkg/ConformalPrediction)
[![Aqua QA](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl)

{{< include docs/src/_intro.qmd >}}
{{< include docs/src/_intro.qmd >}}
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