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October 21, 2019 16:41
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DevOps for Machine Learning (Azure MLOps Part 4) - Deploy Your Model to Azure Container Instances
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az extension add -n azure-cli-ml |
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az ml model deploy -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -n $(service.name.staging) -f ../metadata/model.json --dc aciDeploymentConfig.yml --ic inferenceConfig.yml --overwrite |
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$(System.DefaultWorkingDirectory)/_MLOps-YouTube-CI/drop/setup/install_requirements.sh |
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pytest integration_test.py --doctest-modules --junitxml=junit/test-results.xml --cov=integration_test --cov-report=xml --cov-report=html --scoreurl $(az ml service show -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -n $(service.name.staging) --query scoringUri -o tsv) |
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**/test-*.xml |
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