# ARDRegression function?

**URL:** <https://discourse.julialang.org/t/ardregression-function/56620>\
**Category:** Machine Learning\
**Created:** [March 6, 2021, 2:44pm UTC](https://discourse.julialang.org/t/ardregression-function/56620 "2021-03-06T14:44:49Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![casv2](https://avatars.discourse-cdn.com/v4/letter/c/f6c823/32.png) [@casv2](https://discourse.julialang.org/u/casv2)\
**Post date:** [March 6, 2021, 2:44pm UTC](https://discourse.julialang.org/t/ardregression-function/56620/1 "2021-03-06T14:44:49Z")

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I’m wondering whether there’s a native Julia “ARDRegression” (linear model regression with an ARD prior) available in a native Julia package somewhere. I haven’t been able to find any, and am having to call sklearn through PyCall.

> **[sklearn.linear\_model.ARDRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html)**
>
> Examples using sklearn.linear\_model.ARDRegression: Comparing Linear Bayesian Regressors L1-based models for Sparse Signals

Kind regards,  
casv2

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**Author:** ![Albert\_Zevelev](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/albert_zevelev/32/11844_2.png) [@Albert\_Zevelev](https://discourse.julialang.org/u/Albert_Zevelev)\
**Post date:** [March 6, 2021, 3:55pm UTC](https://discourse.julialang.org/t/ardregression-function/56620/2 "2021-03-06T15:55:19Z")

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It’s wrapped by MLJ:  
[https://alan-turing-institute.github.io/MLJ.jl/dev/list\_of\_supported\_models/](https://alan-turing-institute.github.io/MLJ.jl/dev/list_of_supported_models/)

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**Author:** ![mschauer](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mschauer/32/13946_2.png) [@mschauer](https://discourse.julialang.org/u/mschauer)\
**Post date:** [March 6, 2021, 4:37pm UTC](https://discourse.julialang.org/t/ardregression-function/56620/3 "2021-03-06T16:37:59Z")

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Ping me if you would like to try something we are working on on your data, also a Bayesian sparse regression method.