PyPads: Transparent Machine Learning Experiment Tracking

被引：0

作者：

Weißgerber, Thomas ^{[1
]}

Amor, Mehdi Ben ^{[1
]}

Fellicious, Christofer ^{[1
]}

Granitzer, Michael ^{[1
]}

机构：

[1] ITZ/IH 161, University of Passau, Innstraße 43, Passau,94032, Germany

来源：

关键词：

Compendex;

D O I：

10.1007/s13222-023-00459-w

中图分类号：

学科分类号：

摘要：

Python

引用

页码：53 / 62

页数：9

共 149 条

[1]

Pawlik M(2019)D. Temple Lang Datenbank Spektrum 19 107-78

[2]

Hütter T(2019)https://science.sciencemag.org/content/348/6242/1422 Datenbank Spektrum 19 117-undefined

[3]

Kocher D(2000)SAA archaeological Comput Sci Eng 2 61-undefined

[4]

Mann W(2012)PADRE: Platform for mAchine learning and Data science REproducibility Mach Learn 87 127-undefined

[5]

Augsten N(2007)EPJ web of conferences J Mach Learn Res 8 2443-undefined

[6]

Risch J(2016)ACM SIGKDD Nat News 533 452-undefined

[7]

Krestel R(2013)Sumatra: A Toolkit for Reproducible Research Nature 497 433-undefined

[8]

Schwab M(2009)undefined Ann Intern Med 124 2687-undefined

[9]

Karrenbach N(2007)undefined J Comput Graph Stat 348 1422-undefined

[10]

Claerbout J(2020)undefined Scientometrics 343 229-undefined