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This repository has been archived by the owner on Apr 7, 2020. It is now read-only.
The Azure Machine Learning Workspace action will allow you to connect to a remote workspace so you can later run your Machine Learning experiments remotely, create production endpoints etc. If the workspace exists, it will connect to it, otherwise the action will create a new workspace. You will need to have azure credentials that allow you to create and/or connect to a workspace. The action will output a config file that needs to be passed to the next AML actions if you are looking to chain more than one AML action together.
Example workflow
name: My Workflowon: [push, pull_request]jobs:
build:
runs-on: ubuntu-lateststeps:
- uses: actions/checkout@master
- name: Run action# AML Workspace Action
- uses: azure/AMLWorkspace@master# required inputs as secretswith:
azureCredentials: ${{ secrets.AZURE_CREDENTIALS }}
Inputs
Input
Description
AZURE_CREDENTIALS
Output of az ad sp create-for-rbac --name <your-sp-name> --role contributor --scopes /subscriptions/<your-subscriptionId>/resourceGroups/<your-rg> --sdk-auth. This should be stored in your secrets
Parameter File
A sample file can be found in this repository in the folder .aml. The action expects a similar parameter file in your repository in the .aml folder.