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SaschaDittmann/01_CreateMetadataAndModelsFolders.sh

Created October 21, 2019 16:35
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DevOps for Machine Learning (Azure MLOps Part 3) - Train and Version Your Model
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01_CreateMetadataAndModelsFolders.sh
mkdir metadata && mkdir models
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02_TrainModel.sh
az ml run submit-script -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -e $(experiment.name) --ct $(amlcompute.clusterName) -d conda_dependencies.yml -c train_diabetes -t ../metadata/run.json train_diabetes.py
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03_RegisterModel.sh
az ml model register -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -n $(model.name) -f metadata/run.json --asset-path outputs/models/sklearn_diabetes_model.pkl -d "Linear model using diabetes dataset" --tag "data"="diabetes" --tag "model"="regression" --model-framework ScikitLearn -t metadata/model.json
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04_DownloadModel.sh
az ml model download -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -i $(jq -r .modelId metadata/model.json) -t ./models --overwrite
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05_CopyFilesToArtifactStagingDirectory.txt
**/metadata/*
**/models/*
**/deployment/*
**/setup/*
**/tests/integration/*
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