API recommendation for machine learning libraries: how far are we?-Reference-Cited by-同舟云学术

API recommendation for machine learning libraries: how far are we?

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Wei Moshi¹,Huang Yuchao²,Wang Junjie²,Shin Jiho¹,Harzevili Nima Shiri¹,Wang Song¹

Affiliation:

1. York University, Canada

2. Institute of Software at Chinese Academy of Sciences, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3540250.3549124

Reference51 articles.

1. 2021. PyPI Download Stats. https://pypistats.org/ 2021. PyPI Download Stats. https://pypistats.org/

2. 2021. Python Package Index - PyPI. https://pypi.org/ 2021. Python Package Index - PyPI. https://pypi.org/

3. 2021. Query stackoverflow - Stack Exchange data explorer. Available at. https://data.stackexchange.com/stackoverflow/query/new 2021. Query stackoverflow - Stack Exchange data explorer. Available at. https://data.stackexchange.com/stackoverflow/query/new

4. Black box fairness testing of machine learning models

5. Fast algorithms for mining association rules. In Proc. 20th int. conf. very large data bases;Agrawal Rakesh;VLDB.,1994

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