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v1.1.0 Release

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@setuc setuc released this 09 Feb 14:27
· 16 commits to main since this release
664496b

The repository now contains the following patterns that have been implemented:

1. Classical / Tabular Machine Learning Model
a. Supports Azure DevOps and GitHub Actions including the deployment of Infrastructure with both the platforms.
b. Supports Azure Data Explorer based Monitoring, Data Drift and Anomaly Detection. It is enabled for Terraform and can be invoked via Python SDKv1 or Azure ML CLI v2 (aml-cli-v2).
c. Can deploy both online as well as batch end points.
d. Supports MLOPs pipelines with Azure ML (AML) CLI v2, Python SDK V1 and V2.
e. Contains Responsible AI and python test modules.
f. Support for Feathr Feature store.

2. Computer Vision (CV) Model
a. Supports Azure DevOps and GitHub Actions. Note that GitHub Actions are only working for Azure ML CLI v2 (aml-cli-v2).
b. Supports MLOPs pipelines with Azure ML (AML) CLI v2, and Python SDK V1.
c. Can deploy both online as well as batch end points.

3. Natural Language Processing (NLP) Model
a. Supports for Azure DevOps and GitHub Actions. Note that GitHub Actions are only working for Azure ML CLI v2 (aml-cli-v2).
b. Supports MLOPs pipelines with Azure ML (AML) CLI v2, and Python SDK V2.
c. Can deploy both online as well as batch end points.

Other Patterns included in the release:

  • Improve documentation for GitHub Actions and Azure DevOps available on the main GitHub Link
  • Templates for using individual / repeatable steps in your template. These templates are available for GitHub Actions and Azure DevOps (CLI and SDK). The Template repo can be found here: https://github.com/Azure/mlops-templates
  • Registration of Multiple Datasets
  • Using 3rd party / external containers. Support for dependabot python package scans via pip install in docker container.
  • Support for secure workspaces
  • Quick Deploy Examples with Azure DevOps (ADO); GitHub and Microsoft Learn
  • Feathr Feature Store: Integration of Feathr as an enterprise scale feature store in the MLOps V2 extended architectures, deployment of Feathr using Terraform script and running a simple classical ML example.

What's Changed

What's Changed

New Contributors

Full Changelog: https://github.com/Azure/mlops-templates/commits/v1.1.0