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j-so
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fix pipeline status badge and tf naming uniqueness
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README.md

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@@ -11,7 +11,9 @@ description: "Code which demonstrates how to set up and operationalize an MLOps
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# MLOps with Azure ML
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[![Build Status](https://aidemos.visualstudio.com/MLOps/_apis/build/status/microsoft.MLOpsPython?branchName=master)](https://aidemos.visualstudio.com/MLOps/_build/latest?definitionId=151&branchName=master)
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CI: [![Build Status](https://aidemos.visualstudio.com/MLOps/_apis/build/status/Model-Train-Register-CI?branchName=master)](https://aidemos.visualstudio.com/MLOps/_build/latest?definitionId=160&branchName=master)
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CD: [![Build Status](https://aidemos.visualstudio.com/MLOps/_apis/build/status/microsoft.MLOpsPython-CD?branchName=master)](https://aidemos.visualstudio.com/MLOps/_build/latest?definitionId=161&branchName=master)
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MLOps will help you to understand how to build a Continuous Integration and Continuous Delivery pipeline for an ML/AI project. We will be using the Azure DevOps Project for build and release/deployment pipelines along with Azure ML services for model retraining pipeline, model management and operationalization.
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bootstrap/bootstrap.py

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@@ -98,7 +98,6 @@ def replace_project_name(project_dir, project_name, rename_name):
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r"ml_service/pipelines/diabetes_regression_build_train_pipeline_with_r_on_dbricks.py", # NOQA: E501
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r"ml_service/pipelines/diabetes_regression_build_train_pipeline_with_r.py", # NOQA: E501
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r"ml_service/pipelines/diabetes_regression_build_train_pipeline.py", # NOQA: E501
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r"ml_service/pipelines/diabetes_regression_verify_train_pipeline.py", # NOQA: E501
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r"ml_service/util/create_scoring_image.py",
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r"diabetes_regression/conda_dependencies.yml",
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r"diabetes_regression/evaluate/evaluate_model.py",

environment_setup/iac-create-environment-pipeline-tf.yml

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ensureBackend: true
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backendAzureRmResourceGroupLocation: $(LOCATION)
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backendAzureRmResourceGroupName: $(RESOURCE_GROUP)
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backendAzureRmStorageAccountName: 'statestor'
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backendAzureRmStorageAccountName: '$(BASE_NAME)statestor'
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backendAzureRmStorageAccountSku: 'Standard_LRS'
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backendAzureRmContainerName: 'tfstate-cont'
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backendAzureRmKey: 'mlopsinfra.tfstate'

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