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About

ML and AI are some of the most commonly used workloads in Python. We want to make sure the major libraries are running efficiently on RISC-V to make it a competitive platform for these workloads.

Scikit-learn is a free software machine learning library for the Python programming language.It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Project Scope and Timelines

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Components and Repos

https://github.com/scikit-learn/scikit-learn

Stakeholders and Partners

Ludovic Henry 

Dependencies

Measure of Success

Scikit-learn is functional on RISC-V

RISE Requirements

None


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Dependency



Development

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Upstreaming

Status
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Upstream version



Contacts



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