# scikit-learn-contrib/py-earth

<https://repo.masters-masters.com/en/repos/scikit-learn-contrib/py-earth>

[Home](https://repo.masters-masters.com/en) › [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) › [py-earth](https://repo.masters-masters.com/en/repos/scikit-learn-contrib/py-earth)

scikit-learn-contrib/py-earth has 468 stars on GitHub. Its RepoMasters card: Alpha tier. A Python implementation of Jerome Friedman's Multivariate Adaptive…

| Field | Value |
| --- | --- |
| Owner | [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) |
| Stars | 468 |
| Forks | 127 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2013 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [scikit-learn-contrib/py-earth](https://github.com/scikit-learn-contrib/py-earth) |

## Repository

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.