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Azure-Machine-Learning-Adoption-Framework
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this repo provides best practice guidance, plan template, solution assessment tool etc. to help Machine Learning Studio(classic) customer adopt Azure Machine Learning.
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Xiao Zhang 1c0734b23b
Merge pull request #3 from xiaoharper/patch-1 
Update test.py
 		2024-07-23 10:46:51 +08:00
aml-adoption-framework add the adoption framework,edit readme 2021-08-11 17:35:50 +08:00
automated_assessment Update test.py 2024-07-23 10:23:02 +08:00
web-service-migration-example/realtime/r-example add r-custom-container example 2022-03-23 15:06:20 +08:00
.gitignore Initial commit 2021-08-05 08:42:08 +00:00
CODE_OF_CONDUCT.md CODE_OF_CONDUCT.md committed 2021-08-05 01:42:12 -07:00
LICENSE LICENSE committed 2021-08-05 01:42:11 -07:00
README.md fix link 2021-08-18 16:56:40 +08:00
SECURITY.md Microsoft mandatory file 2022-07-25 19:00:07 +00:00
self-assessment-survey.xlsx add the adoption framework,edit readme 2021-08-11 17:35:50 +08:00

README.md

Azure Machine Learning Adoption Framework

A Microsoft initiative to support Azure Machine Learning customer adoption through migration from Machine Learning Studio(classic).

Azure Machine Learning Adoption Framework

Azure Machine Learning Adoption Framework provides a holistic plan and action guidance to adopt Azure Machine Learning. The content is orginzed in following files:

The Self-Assessment Survey template is available here. It lists the questions to consider before start adopt Azure Machine Learning.

The automate_assessment folder contains Azure CLI extention to assess the Machine Learning Studio(classic) assets (worksapces, experiemnts, web service, dataset etc). It can generate a ML Studio(classic) inventory list of a given subscription. Start to use the CLI here.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.