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@setuc setuc released this 02 Sep 12:02
· 19 commits to main since this release
v1.0.0
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Learn about vigilant mode.

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

1. Classical / Tabular Machine Learning 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 Azure Data Explorer based Monitoring, Data Drift and Anomaly Detection. It is enabled for Terraform and can be invoked via python sdk v1 or Azure ML CLI v2 (aml-cli-v2).
c. Can deploy both online as well as batch end points.

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. Currently there is no monitoring support for this.
c. Can deploy both online as well as batch end points.

3. Natural Language Processing (NLP) Model
a. Supports only support Azure DevOps via Azure ML CLI v2 (aml-cli-v2).
b. Currently there is no monitoring support for this.
c. Can deploy both online as well as batch end points.

Other Patterns included in the release

  • 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.

Full Changelog: https://github.com/Azure/mlops-project-template/commits/v1.0.0

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