Building Continuous Integration Services for Machine Learning
dc.contributor.author
Karlaš, Bojan
dc.contributor.author
Interlandi, Matteo
dc.contributor.author
Renggli, Cedric
dc.contributor.author
Wu, Wentao
dc.contributor.author
Zhang, Ce
dc.contributor.author
Mukunthu Iyappan Babu, Deepak
dc.contributor.author
Edwards, Jordan
dc.contributor.author
Lauren, Chris
dc.contributor.author
Xu, Andy
dc.contributor.author
Weimer, Markus
dc.date.accessioned
2020-09-17T09:37:34Z
dc.date.available
2020-09-15T03:50:40Z
dc.date.available
2020-09-17T09:37:34Z
dc.date.issued
2020-08
dc.identifier.isbn
978-1-4503-7998-4
en_US
dc.identifier.other
10.1145/3394486.3403290
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/440510
dc.description.abstract
Continuous integration (CI) has been a de facto standard for building industrial-strength software. Yet, there is little attention towards applying CI to the development of machine learning (ML) applications until the very recent effort on the theoretical side. In this paper, we take a step forward to bring the theory into practice.
We develop the first CI system for ML, to the best of our knowledge, that integrates seamlessly with existing ML development tools. We present its design and implementation details. © 2020 Association for Computing Machinery.
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
dc.title
Building Continuous Integration Services for Machine Learning
en_US
dc.type
Conference Paper
dc.date.published
2020-08-23
ethz.book.title
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
en_US
ethz.pages.start
2407
en_US
ethz.pages.end
2415
en_US
ethz.event
26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020)
en_US
ethz.event.location
Online
ethz.event.date
August 23-27, 2020
en_US
ethz.notes
Due to the Corona virus (COVID-19) the conference was conducted virtually.
en_US
ethz.identifier.scopus
ethz.publication.place
New York, NY
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::09588 - Zhang, Ce (ehemalig) / Zhang, Ce (former)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::09588 - Zhang, Ce (ehemalig) / Zhang, Ce (former)
ethz.date.deposited
2020-09-15T03:50:56Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-09-17T09:37:51Z
ethz.rosetta.lastUpdated
2024-02-02T12:04:40Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Building%20Continuous%20Integration%20Services%20for%20Machine%20Learning&rft.date=2020-08&rft.spage=2407&rft.epage=2415&rft.au=Karla%C5%A1,%20Bojan&Interlandi,%20Matteo&Renggli,%20Cedric&Wu,%20Wentao&Zhang,%20Ce&rft.isbn=978-1-4503-7998-4&rft.genre=proceeding&rft_id=info:doi/10.1145/3394486.3403290&rft.btitle=KDD%20'20:%20Proceedings%20of%20the%2026th%20ACM%20SIGKDD%20International%20Conference%20on%20Knowledge%20Discovery%20&%20Data%20Mining
Files in this item
| Files | Size | Format | Open in viewer |
|---|---|---|---|
|
There are no files associated with this item. |
|||
Publication type
-
Conference Paper [35195]