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| developer = [[Microsoft]],<br />[[.NET Foundation]]
| developer = [[Microsoft]],<br />[[.NET Foundation]]
| released = {{Start date and age|2008}}
| released = {{Start date and age|2008}}
| latest release version = v0.4.2203.0202<ref>{{Cite web|url=https://github.com/dotnet/infer|title=dotnet/infer|website=GitHub}}</ref>
| latest release version = v0.4.2203.0202<ref>{{Cite web|url=https://github.com/dotnet/infer|title=dotnet/infer|website=GitHub|date=20 July 2022 }}</ref>
| latest release date = {{Start date and age|2022|03|02}}
| latest release date = {{Start date and age|2022|03|02}}
| repo = {{URL|https://github.com/dotnet/infer}}
| repo = {{URL|https://github.com/dotnet/infer}}
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| website = {{URL|https://dotnet.github.io/infer/}}
| website = {{URL|https://dotnet.github.io/infer/}}
}}
}}
'''Infer.NET''' is a [[free and open source]] [[.NET Framework|.NET]] software library for [[machine learning]].<ref>{{Cite web|url=https://mspoweruser.com/microsofts-popular-machine-learning-framework-infer-net-goes-open-source/|title=Microsoft's popular machine learning framework Infer.NET goes open source}}</ref> It supports running [[Bayesian inference]] in graphical models and can also be used for [[probabilistic programming]].
'''Infer.NET''' is a [[free and open source]] [[.NET Framework|.NET]] software library for [[machine learning]].<ref>{{Cite web|url=https://mspoweruser.com/microsofts-popular-machine-learning-framework-infer-net-goes-open-source/|title=Microsoft's popular machine learning framework Infer.NET goes open source|date=8 October 2018 }}</ref> It supports running [[Bayesian inference]] in graphical models and can also be used for [[probabilistic programming]].


==Overview==
==Overview==
Infer.NET follows a model-based approach and is used to solve different kinds of machine learning problems including standard problems like classification, recommendation or clustering, customized solutions and domain-specific problems. The framework is used in various different domains such as [[bioinformatics]], [[epidemiology]], [[computer vision]], and [[information retrieval]].<ref>{{Cite web|url=https://itsfoss.com/microsoft-ai-open-source-infer-net/|title=Microsoft Open Sources Infer.NET AI Framework [For Humanity]|first=Avimanyu|last=Bandyopadhyay}}</ref><ref name="theregister">{{Cite web|url=https://www.theregister.com/2018/10/05/imicrosoft_nfernet/|title=Microsoft open-sources Infer.NET AI code just in time for the weekend|first=Richard|last=Speed|website=www.theregister.com}}</ref>
Infer.NET follows a model-based approach and is used to solve different kinds of machine learning problems including standard problems like classification, recommendation or clustering, customized solutions and domain-specific problems. The framework is used in various different domains such as [[bioinformatics]], [[epidemiology]], [[computer vision]], and [[information retrieval]].<ref>{{Cite web|url=https://itsfoss.com/microsoft-ai-open-source-infer-net/|title=Microsoft Open Sources Infer.NET AI Framework [For Humanity]|first=Avimanyu|last=Bandyopadhyay}}</ref><ref name="theregister">{{Cite web|url=https://www.theregister.com/2018/10/05/imicrosoft_nfernet/|title=Microsoft open-sources Infer.NET AI code just in time for the weekend|first=Richard|last=Speed|website=www.theregister.com}}</ref>


Development of the framework was started by a team at [[Microsoft]]’s research centre in [[Cambridge, UK]] in 2004. It was first released for academic use in 2008 and later open sourced in 2018.<ref name="theregister" /> In 2013, Microsoft was awarded the [[United States Patent and Trademark Office|USPTO’s]] [[Patents for Humanity|Patents for Humanity Award]] in Information Technology category for Infer.NET and the work in advanced machine learning techniques.<ref>{{Cite web|url=https://www.uspto.gov/ip-policy/patent-policy/patents-humanity/2013-award-recipients|title=2013 Award Recipients|website=www.uspto.gov}}</ref><ref>{{Cite web|url=https://mspoweruser.com/microsoft-wins-patents-for-humanity-award-for-infer-net-from-uspto/|title=Microsoft Wins "Patents for Humanity" Award For Infer.NET From USPTO}}</ref>
Development of the framework was started by a team at [[Microsoft]]’s research centre in [[Cambridge, UK]] in 2004. It was first released for academic use in 2008 and later open sourced in 2018.<ref name="theregister" /> In 2013, Microsoft was awarded the [[United States Patent and Trademark Office|USPTO’s]] [[Patents for Humanity|Patents for Humanity Award]] in Information Technology category for Infer.NET and the work in advanced machine learning techniques.<ref>{{Cite web|url=https://www.uspto.gov/ip-policy/patent-policy/patents-humanity/2013-award-recipients|title=2013 Award Recipients|website=www.uspto.gov}}</ref><ref>{{Cite web|url=https://mspoweruser.com/microsoft-wins-patents-for-humanity-award-for-infer-net-from-uspto/|title=Microsoft Wins "Patents for Humanity" Award For Infer.NET From USPTO|date=12 April 2013 }}</ref>


Infer.NET is used internally at Microsoft as the machine learning engine in some of their products such as [[Microsoft Office|Office]], [[Microsoft Azure|Azure]], and [[Xbox]].<ref>{{Cite web|url=https://www.infoworld.com/article/3311994/microsoft-open-sources-infernet-machine-learning.html|title=Microsoft open-sources Infer.Net model-based machine learning|first=Paul|last=Krill|date=October 9, 2018|website=InfoWorld}}</ref>
Infer.NET is used internally at Microsoft as the machine learning engine in some of their products such as [[Microsoft Office|Office]], [[Microsoft Azure|Azure]], and [[Xbox]].<ref>{{Cite web|url=https://www.infoworld.com/article/3311994/microsoft-open-sources-infernet-machine-learning.html|title=Microsoft open-sources Infer.Net model-based machine learning|first=Paul|last=Krill|date=October 9, 2018|website=InfoWorld}}</ref>

Revision as of 20:27, 23 July 2022

Infer.NET
Original author(s)Microsoft Research
Developer(s)Microsoft,
.NET Foundation
Initial release2008; 16 years ago (2008)
Stable release
v0.4.2203.0202[1] / March 2, 2022; 2 years ago (2022-03-02)
Repositorygithub.com/dotnet/infer
Written inC#
Operating systemMicrosoft Windows, macOS, Linux
Platform.NET Framework, .NET, Mono
TypeMachine learning software library
LicenseMIT License
Websitedotnet.github.io/infer/

Infer.NET is a free and open source .NET software library for machine learning.[2] It supports running Bayesian inference in graphical models and can also be used for probabilistic programming.

Overview

Infer.NET follows a model-based approach and is used to solve different kinds of machine learning problems including standard problems like classification, recommendation or clustering, customized solutions and domain-specific problems. The framework is used in various different domains such as bioinformatics, epidemiology, computer vision, and information retrieval.[3][4]

Development of the framework was started by a team at Microsoft’s research centre in Cambridge, UK in 2004. It was first released for academic use in 2008 and later open sourced in 2018.[4] In 2013, Microsoft was awarded the USPTO’s Patents for Humanity Award in Information Technology category for Infer.NET and the work in advanced machine learning techniques.[5][6]

Infer.NET is used internally at Microsoft as the machine learning engine in some of their products such as Office, Azure, and Xbox.[7]

The source code is licensed under MIT License and available on GitHub.[8] It is also available as NuGet package.[9]

See also

References

  1. ^ "dotnet/infer". GitHub. 20 July 2022.
  2. ^ "Microsoft's popular machine learning framework Infer.NET goes open source". 8 October 2018.
  3. ^ Bandyopadhyay, Avimanyu. "Microsoft Open Sources Infer.NET AI Framework [For Humanity]".
  4. ^ a b Speed, Richard. "Microsoft open-sources Infer.NET AI code just in time for the weekend". www.theregister.com.
  5. ^ "2013 Award Recipients". www.uspto.gov.
  6. ^ "Microsoft Wins "Patents for Humanity" Award For Infer.NET From USPTO". 12 April 2013.
  7. ^ Krill, Paul (October 9, 2018). "Microsoft open-sources Infer.Net model-based machine learning". InfoWorld.
  8. ^ "dotnet/infer". November 3, 2020 – via GitHub.
  9. ^ "Infer.Net 2.4.0". www.nuget.org.

Further reading

  • Knowles, D.; Parts, L.; Glass, D.; Winn, John (2010). "Modeling skin and ageing phenotypes using latent variable models in Infer.NET" (Document). {{cite document}}: Cite document requires |publisher= (help); Unknown parameter |url= ignored (help)
  • Winn, John; Minka, Tom (2009). "Probabilistic Programming with Infer.NET" (Document). {{cite document}}: Cite document requires |publisher= (help); Unknown parameter |url= ignored (help)
  • Winn, John; Simpson, Angela; Custovic, Adnan; Y. F. Tan, Vincent (2008). "Immune System Modeling with Infer.NET" (Document). {{cite document}}: Cite document requires |publisher= (help); Unknown parameter |url= ignored (help)

External links

Retrieved from "https://en.wikipedia.org/w/index.php?title=Infer.NET&oldid=1100017648"