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Move Azure Machine Learning Model to Registry

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Move Azure Machine Learning Model to Registry
v0.1.0
Latest
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register-azure-machine-learning-model

Github Action to register an Azure Machine Learning Model in a registry.

Features:

  • Register a model in an Azure Machine Learning registry
  • Move a model between registries

For other Azure Machine Learning actions check out:

Dependencies on other Github Actions

🚀 Usage

1. Add to Your Workflow

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2.3.2

      - uses: Azure/login@v1
        with:
          creds: ${{ secrets.AZURE_CREDENTIALS }}

      - name: Register model in registry
        uses: coding-kitties/register-azure-machine-learning-model@v0.1.0
        with:
          model_name: 'model-name'
          model_version: '1'
          source_registry_name: 'playground-registry'
          source_registry_resource_group: 'playground-registry-resource-group'
          destination_registry_name: 'dev-registry'
          destination_registry_resource_group: 'dev-resource-group'

Example deployment of an Azure Machine Learning Workflow with blue/green deployments

This example demonstrates an Azure Machine Learning Deployment with blue/green deployments for different environments. We use various Github Actions to create a complete workflow.

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2.3.2

      - uses: Azure/login@v1
        with:
          creds: ${{ secrets.AZURE_CREDENTIALS }}

      # Move model into dev registry (Will be skipped if it already exists)
      - name: Register model in registry
        uses: coding-kitties/register-azure-machine-learning-model@v0.1.0
        with:
          model_name: 'model-name'
          model_version: '1'
          source_registry_name: 'playground-registry'
          source_registry_resource_group: 'my-registry-resource-group'
          destination_registry_name: 'playground-registry'
          destination_registry_resource_group: 'my-registry-resource-group'

      # Create AML Online Endpoint in DEV (Will be skipped if it already exists)
      - name: Create AML Online Endpoint DEV
        uses: coding-kitties/create-azure-machine-learning-online-endpoint@v0.3.0
        with:
          endpoint_name: 'dev-endpoint'
          resource_group: 'dev-group'
          workspace_name: 'dev-workspace'

      # Deploy the new green model to DEV
      - name: Create AML Online Endpoint Deployment DEV
        uses: coding-kitties/create-azure-machine-learning-online-deployment@v0.3.0
        with:
          endpoint_name: 'dev-endpoint'
          resource_group: 'dev-group'
          workspace_name: 'dev-workspace'
          deployment_yaml_file_path: 'path/to/deployment.yml'
          model_name: 'model-name'
          model_version: '1'
          traffic: '{ "green": 0, "blue": 100, mirror": {"green": 20} }'

      # Update green deployment traffic in DEV
      - name: Update AML Online Endpoint Deployment traffic
        uses: coding-kitties/update-azure-machine-learning-online-deployment@v0.1.0
        with:
          endpoint_name: 'my-endpoint'
          workspace_name: 'my-workspace'
          resource_group: 'my-resource-group'
          traffic: '{ "green": 100, "blue": 0, mirror": {"green": 0} }'

      - name: Delete AML Online Endpoint Deployment DEV
        uses: coding-kitties/delete-azure-machine-learning-online-deployment@v0.1.0
        with:
          endpoint_name: 'dev-endpoint'
          resource_group: 'dev-group'
          workspace_name: 'dev-workspace'
          deployment_name: 'blue'

      # Move model to production registy
      - name: Move model to production registry
        uses: coding-kitties/register-azure-machine-learning-model@v0.1.0
        with:
          model_name: 'model-name'
          model_version: '1'
          source_registry_name: 'playground-registry'
          source_registry_resource_group: 'my-registry-resource-group'
          destination_registry_name: 'production-registry'
          destination_registry_resource_group: 'my-registry-resource-group'

      # Create AML Online Endpoint in PROD (Will be skipped if it already exists)
      - name: Create AML Online Endpoint PROD
        uses: coding-kitties/create-azure-machine-learning-online-endpoint@v0.3.0
        with:
          endpoint_name: 'prod-endpoint'
          resource_group: 'prod-group'
          workspace_name: 'prod-workspace'

      # Deploy the new green model to PROD
      - name: Create AML Online Endpoint Deployment PROD
        uses: coding-kitties/create-azure-machine-learning-online-deployment@v0.3.0
        with:
          endpoint_name: 'prod-endpoint'
          resource_group: 'prod-group'
          workspace_name: 'prod-workspace'
          deployment_yaml_file_path: 'path/to/deployment.yml'
          model_name: 'model-name'
          model_version: '1'
          traffic: '{ "green": 0, "blue": 100, mirror": {"green": 20} }'
å```

Move Azure Machine Learning Model to Registry is not certified by GitHub. It is provided by a third-party and is governed by separate terms of service, privacy policy, and support documentation.

About

Move Azure Machine Learning Model to Registry
v0.1.0
Latest

Move Azure Machine Learning Model to Registry is not certified by GitHub. It is provided by a third-party and is governed by separate terms of service, privacy policy, and support documentation.