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‎.gitignore‎

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/node_modules
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deployment.yaml
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/model

‎LICENSE‎

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MIT License
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Copyright (c) 2025 Coding Kitties
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎README.md‎

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# register-azure-machine-learning-model
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# register-azure-machine-learning-model-to-workspace
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Github Action to register an Azure Machine Learning Model in a workspace.
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Features:
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* Register a model in an Azure Machine Learning workspace
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* Move a model between registries
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For other Azure Machine Learning actions check out:
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* [create-azure-machine-learning-online-endpoint](https://github.com/coding-kitties/create-azure-machine-learning-online-endpoint)
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* [create-azure-machine-learning-online-deployment](https://github.com/coding-kitties/create-azure-machine-learning-online-deployment)
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* [update-azure-machine-learning-online-deployment](https://github.com/coding-kitties/update-azure-machine-learning-online-deploymentl)
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* [delete-azure-machine-learning-online-deployment](https://github.com/coding-kitties/delete-azure-machine-learning-online-deployment)
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## Dependencies on other Github Actions
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* Authenticate using [Azure Login](https://github.com/Azure/login)
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## 🚀 Usage
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### **1. Add to Your Workflow**
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```yaml
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2.3.2
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- uses: Azure/login@v1
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with:
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creds: ${{ secrets.AZURE_CREDENTIALS }}
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- name: Register model in registry
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uses: coding-kitties/register-azure-machine-learning-model@v0.1.0
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with:
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model_name: 'model-name'
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model_version: '1'
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source_registry_name: 'playground-registry'
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source_registry_resource_group: 'playground-registry-resource-group'
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destination_registry_name: 'dev-registry'
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destination_registry_resource_group: 'dev-resource-group'
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```
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## Example deployment of an Azure Machine Learning Workflow with blue/green deployments
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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.
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```yaml
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2.3.2
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- uses: Azure/login@v1
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with:
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creds: ${{ secrets.AZURE_CREDENTIALS }}
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# Move model into dev registry (Will be skipped if it already exists)
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- name: Register model in registry
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uses: coding-kitties/register-azure-machine-learning-model@v0.1.0
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with:
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model_name: 'model-name'
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model_version: '1'
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source_registry_name: 'playground-registry'
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source_registry_resource_group: 'my-registry-resource-group'
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destination_registry_name: 'playground-registry'
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destination_registry_resource_group: 'my-registry-resource-group'
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# Create AML Online Endpoint in DEV (Will be skipped if it already exists)
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- name: Create AML Online Endpoint DEV
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uses: coding-kitties/create-azure-machine-learning-online-endpoint@v0.3.0
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with:
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endpoint_name: 'dev-endpoint'
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resource_group: 'dev-group'
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workspace_name: 'dev-workspace'
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# Deploy the new green model to DEV
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- name: Create AML Online Endpoint Deployment DEV
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uses: coding-kitties/create-azure-machine-learning-online-deployment@v0.3.0
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with:
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endpoint_name: 'dev-endpoint'
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resource_group: 'dev-group'
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workspace_name: 'dev-workspace'
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deployment_yaml_file_path: 'path/to/deployment.yml'
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model_name: 'model-name'
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model_version: '1'
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traffic: '{ "green": 0, "blue": 100, mirror": {"green": 20} }'
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# Update green deployment traffic in DEV
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- name: Update AML Online Endpoint Deployment traffic
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uses: coding-kitties/update-azure-machine-learning-online-deployment@v0.1.0
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with:
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endpoint_name: 'my-endpoint'
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workspace_name: 'my-workspace'
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resource_group: 'my-resource-group'
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traffic: '{ "green": 100, "blue": 0, mirror": {"green": 0} }'
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- name: Delete AML Online Endpoint Deployment DEV
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uses: coding-kitties/delete-azure-machine-learning-online-deployment@v0.1.0
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with:
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endpoint_name: 'dev-endpoint'
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resource_group: 'dev-group'
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workspace_name: 'dev-workspace'
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deployment_name: 'blue'
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# Move model to production registy
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- name: Move model to production registry
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uses: coding-kitties/register-azure-machine-learning-model@v0.1.0
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with:
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model_name: 'model-name'
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model_version: '1'
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source_registry_name: 'playground-registry'
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source_registry_resource_group: 'my-registry-resource-group'
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destination_registry_name: 'production-registry'
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destination_registry_resource_group: 'my-registry-resource-group'
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# Create AML Online Endpoint in PROD (Will be skipped if it already exists)
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- name: Create AML Online Endpoint PROD
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uses: coding-kitties/create-azure-machine-learning-online-endpoint@v0.3.0
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with:
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endpoint_name: 'prod-endpoint'
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resource_group: 'prod-group'
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workspace_name: 'prod-workspace'
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# Deploy the new green model to PROD
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- name: Create AML Online Endpoint Deployment PROD
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uses: coding-kitties/create-azure-machine-learning-online-deployment@v0.3.0
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with:
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endpoint_name: 'prod-endpoint'
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resource_group: 'prod-group'
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workspace_name: 'prod-workspace'
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deployment_yaml_file_path: 'path/to/deployment.yml'
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model_name: 'model-name'
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model_version: '1'
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traffic: '{ "green": 0, "blue": 100, mirror": {"green": 20} }'
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å```

‎action.yaml‎

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name: 'Register Azure Machine Learning Model to Workspace'
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description: 'Register Azure Machine Learning Model to Workspace'
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author: 'Marc van Duyn'
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branding:
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icon: 'cloud'
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color: 'blue'
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inputs:
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workspace_name:
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description: 'Azure ML Workspace Name'
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required: true
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resource_group:
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description: 'Azure Resource Group'
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required: true
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model_name:
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description: 'Model Name'
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required: true
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model_version:
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description: 'Model Version'
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required: true
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model_path:
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description: 'Model Path'
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required: true
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model_description:
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description: 'Model Description'
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required: true
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model_type:
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description: 'Model Type'
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required: true
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runs:
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using: "node20"
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main: "dist/index.js"

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