Created
July 2, 2019 12:27
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ML Azure Pipelines
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# Starter pipeline | |
# Start with a minimal pipeline that you can customize to build and deploy your code. | |
# Add steps that build, run tests, deploy, and more: | |
# https://aka.ms/yaml | |
trigger: | |
- master | |
pool: | |
vmImage: 'Ubuntu-16.04' | |
steps: | |
- task: UsePythonVersion@0 | |
displayName: 'Use Python 3.6' | |
inputs: | |
versionSpec: 3.6 | |
- script: | | |
pip install flake8 | |
pip install flake8_formatter_junit_xml | |
flake8 --format junit-xml --output-file $(Build.BinariesDirectory)/flake8_report.xml --exit-zero --ignore E111 | |
displayName: 'Check code quality' | |
- task: PublishTestResults@2 | |
condition: succeededOrFailed() | |
inputs: | |
testResultsFiles: '$(Build.BinariesDirectory)/*_report.xml' | |
testRunTitle: 'Publish test results' | |
- task: AzureCLI@1 | |
inputs: | |
azureSubscription: 'ML' | |
scriptLocation: 'inlineScript' | |
inlineScript: 'az extension add -n azure-cli-ml' | |
workingDirectory: 'model-training' | |
- task: AzureCLI@1 | |
inputs: | |
azureSubscription: 'ML' | |
scriptLocation: 'inlineScript' | |
inlineScript: 'az ml folder attach -w sahilWorkspace -g ML' | |
workingDirectory: '' | |
- task: AzureCLI@1 | |
inputs: | |
azureSubscription: 'ML' | |
scriptLocation: 'inlineScript' | |
inlineScript: 'az ml computetarget create amlcompute -n mycomputetarget --min-nodes 1 --max-nodes 1 -s STANDARD_D3_V2' | |
workingDirectory: 'model-training' | |
- task: AzureCLI@1 | |
inputs: | |
azureSubscription: 'ML' | |
scriptLocation: 'inlineScript' | |
inlineScript: 'az ml run submit-script -c sklearn -e test -d training-env.yml train-sklearn.py' | |
workingDirectory: 'model-training' | |
- task: AzureCLI@1 | |
inputs: | |
azureSubscription: 'ML' | |
scriptLocation: 'inlineScript' | |
inlineScript: 'az ml model register -n mymodel -p sklearn_regression_model.pkl -t model.json' | |
workingDirectory: 'model-deployment' | |
- task: AzureCLI@1 | |
inputs: | |
azureSubscription: 'ML' | |
scriptLocation: 'inlineScript' | |
inlineScript: 'az ml computetarget delete -n mycomputetarget' | |
workingDirectory: '' |
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