UQpy Version 4.2: Uncertainty quantification with Python

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-09-25 DOI:10.1016/j.softx.2025.102364

Connor Krill, Ponkrshnan Thiagarajan, George D. Pasparakis, Somdatta Goswami, Dimitrios Tsapetis, Dimitris G. Giovanis, Michael D. Shields

引用次数: 0

Abstract

We introduce a new module for the UQpy software package which extends its capabilities into the field of Scientific Machine Learning. This module builds on PyTorch to create a flexible and robust platform for uncertainty quantification in machine learning. The scientific machine learning module of UQpy introduces custom layers, neural networks, and neural network trainers that are compatible with torch version 2.2.2 and allow for “plug and play” integration into existing torch code.

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UQpy Version 4.2：使用Python进行不确定性量化

我们为UQpy软件包引入了一个新的模块，将其功能扩展到科学机器学习领域。该模块建立在PyTorch上，为机器学习中的不确定性量化创建了一个灵活而强大的平台。UQpy的科学机器学习模块引入了自定义层、神经网络和神经网络训练器，它们与torch 2.2.2版本兼容，并允许“即插即用”集成到现有的torch代码中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

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