PySR: high-performance symbolic regression in Python']Python and Julia

被引：0

作者：

Tonda, Alberto ^{[1
]}

机构：

[1] Univ Paris Saclay, INRAE, Appl Math & Comp Sci, Paris Saclay Joint Res Unit,UMR MIA PS 518, Palaiseau, France

来源：

GENETIC PROGRAMMING AND EVOLVABLE MACHINES | 2025年 / 26卷 / 01期

关键词：

D O I：

10.1007/s10710-024-09503-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页数：4

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