This repository includes all use case specific codebase to be deployed as the inner loop for the MLOps v2 solution accelerator.
The repo itself functions as a standalone entity that agnosticly holds all Azure Machine Learning - Classical Machine Learning requirements for this architectual pattern.
This repository follows the architecture linked below:
| Link | AI Pattern |
|---|---|
| Pattern AML CML | Azure Machine Learning - Classical Machine Learning |
Please visit MLOps v2 for the initial deployment of this inner loop pattern.
Please visit MLOps v2 and file an issue or go to Microsofts internal SharePoint site to hand in any feedback.
This project welcomes contributions and suggestions. To learn more visit the contributing section in the MLOps v2 solution accelerator.
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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.
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