Python utilities for compliant Azure machine learning
Shrike: incubation for Azure ML
shrike library is a set of Python utilities for running experiments in the
Azure Machine Learning platform (a.k.a. Azure ML). This
library contains four elements, which are:
shrike.compliant_logging: utilities for compliant logging and exception handling;
shrike.pipeline: helper code for managing, validating and submitting Azure ML pipelines based on azure-ml-component (a.k.a. the Component SDK);
shrike.build: helper code for packaging, building, validating, signing and registering Azure ML components.
shrike.spark: utilities for running jobs, especially those leveraging Spark .NET, in HDInsight and later Synapse.
For the full documentation of
shrike with detailed examples and API reference,
please see the docs page.
For a list of problems (along with guidance and solutions) designed specifically to help you learn how to use shrike, please refer to the information in this README file (located in another GitHub repository).
shrike library is publicly available in PyPi. There are three optional extra dependencies:
pipeline dependency is for submitting Azure ML pipelines,
build is for signing and registering components,
dev is for the development environment of
- If you are only planning on using the compliant-logging feature, please
pip installwithout any extras:
pip install shrike
- If you are planning on signing and registering components, please
pip install shrike[build]
- If you are planning on submitting Azure ML pipelines, please
pip install shrike[pipeline]
- If you would like to contribute to the source code, please
pip installwith all the dependencies:
pip install shrike[pipeline,build,dev]
Alternatively, for local development, you may use the Conda environment defined in environment.yml. It pins the appropriate versions of pip, Python, and installs all shrike together with all extras as an editable package.
:warning: If you are using a ZSH terminal, please consider adding quotes,
pip install "shrike[pipeline,build,dev]" to avoid the accidental shell expansion.
If you have been using the
please use the migration script (migration.py) to convert your repo or files and
shrike package with one simple command:
python migraton.py --input_path PATH/TO/YOUR/REPO/OR/FILE
:warning: This command will update files in-place. Please make a copy of your repo/file if you do not want to do so.
If you have any feature requests, technical questions, or find any bugs, please do not hesitate to reach out to us.
- For bug reports and feature requests, you are welcome to open an issue.
- If you are a Microsoft employee, please refer to the support page for details;
- If you are outside Microsoft, please send an email to email@example.com.
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.
To contribute, please start by creating a self-assigned issue giving a high-level overview of what you'd like to do. Once any discussion there concludes, follow up with a PR.
Please send an email to firstname.lastname@example.org to request a "contributor" access to this repository, if you have difficulty in creating a branch. 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 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.
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