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arXiv:1911.00648 (stat)
[Submitted on 2 Nov 2019 (v1) , last revised 5 Feb 2023 (this version, v3)]

Title: salmon: A Symbolic Linear Regression Package for Python

Title: salmon:Python的符号线性回归包

Authors:Alex Boyd, Dennis L. Sun
Abstract: One of the most attractive features of R is its linear modeling capabilities. We describe a Python package, salmon, that brings the best of R's linear modeling functionality to Python in a Pythonic way -- by providing composable objects for specifying and fitting linear models. This object-oriented design also enables other features that enhance ease-of-use, such as automatic visualizations and intelligent model building.
Abstract: R 最吸引人的功能之一是其线性建模能力。我们描述了一个 Python 包 salmon,它以 Python 的方式将 R 在线性建模方面的最佳功能引入 Python——通过提供可组合的对象来指定和拟合线性模型。这种面向对象的设计还实现了其他增强易用性的功能,例如自动可视化和智能模型构建。
Comments: Accepted in the Journal of Statistical Software
Subjects: Computation (stat.CO)
Cite as: arXiv:1911.00648 [stat.CO]
  (or arXiv:1911.00648v3 [stat.CO] for this version)
  https://doi.org/10.48550/arXiv.1911.00648
arXiv-issued DOI via DataCite
Journal reference: Journal of Statistical Software, 108(8), 1-26 (2024)
Related DOI: https://doi.org/10.18637/jss.v108.i08
DOI(s) linking to related resources

Submission history

From: Dennis Sun [view email]
[v1] Sat, 2 Nov 2019 04:42:28 UTC (3,424 KB)
[v2] Sat, 2 Oct 2021 00:20:44 UTC (5,998 KB)
[v3] Sun, 5 Feb 2023 01:07:01 UTC (3,429 KB)
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