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Problem sets for Azure Machine Learning.
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Update README and demo_component_with_parameter.py to suggest using the same component key (#10)
Co-authored-by: amirabdi <amirabdi@microsoft.com>
2022-08-09 09:03:46 -07:00
shrike-examples Update README and demo_component_with_parameter.py to suggest using the same component key (#10) 2022-08-09 09:03:46 -07:00
shrike-problems Update README and demo_component_with_parameter.py to suggest using the same component key (#10) 2022-08-09 09:03:46 -07:00
.gitignore don't check in pipeline helper output files 2021-07-01 09:26:31 -07:00
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README.md Problem sets improvements following first bootcamp (#6) 2021-08-09 14:42:24 -07:00
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SUPPORT.md Shrike problems - first 3 (#3) 2021-07-08 17:04:28 -07:00

README.md

Project

This project gathers a list of problems (and their solutions) to help people ramp up on Azure ML. The problems are divided in two categories: a first set of "generic" problems to get started with Azure ML, and a second set focusing on shrike, a library providing utilities to help create and run experiments on the Azure ML platform.

Generic Azure ML problems

Azure ML problems aimed at learning shrike

The list of problems aiming at teaching how to use the shrike library is given here in the shrike-problems directory. Detailed instructions for each problem can be found in the problems subdirectory (here is the first problem, for instance).

The shrike-examples directory contains all the files that need to be modified to solve the problems. It is a good example of the recommended repository architecture for Azure ML projects using shrike. To get started, please follow the instructions of the ReadMe file located in that directory.

Spoiler Alert The solutions to the problems are available in the shrike-solutions branch. If you visit this branch, you will see that the files in the shrike-examples directory are complete.

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.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.