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https://github.com/cscherrer/sossmlj.jl

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language
https://github.com/cscherrer/sossmlj.jl

bayesian-inference data-science julialang mlj probabilistic-programming soss

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SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

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README

        

# SossMLJ

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://cscherrer.github.io/SossMLJ.jl/stable/)
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://cscherrer.github.io/SossMLJ.jl/dev/)
[![Build Status](https://github.com/cscherrer/SossMLJ.jl/workflows/CI/badge.svg)](https://github.com/cscherrer/SossMLJ.jl/actions)
[![Coverage](https://codecov.io/gh/cscherrer/SossMLJ.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/cscherrer/SossMLJ.jl)

SossMLJ.jl integrates the [Soss.jl](https://github.com/cscherrer/Soss.jl)
probabilistic programming library into the
[MLJ.jl](https://github.com/alan-turing-institute/MLJ.jl) machine learning
framework.

Please see the [documentation](https://cscherrer.github.io/SossMLJ.jl/stable/).