зеркало из https://github.com/Azure/aml-run.git
37 строки
1.8 KiB
YAML
37 строки
1.8 KiB
YAML
name: "Azure Machine Learning Run Action"
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description: "Submit a run to an Azure Machine Learning Workspace with this GitHub Action"
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author: "azure/gh-aml"
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inputs:
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azure_credentials:
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description: "Paste output of `az ad sp create-for-rbac --name <your-sp-name> --role contributor --scopes /subscriptions/<your-subscriptionId>/resourceGroups/<your-rg> --sdk-auth` as value of secret variable: AZURE_CREDENTIALS"
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required: true
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parameters_file:
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description: "JSON file including the parameters of the run."
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required: true
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default: "run.json"
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outputs:
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experiment_name:
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description: "Name of the experiment of the run"
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run_id:
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description: "ID of the run"
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run_url:
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description: "URL to the run in the Azure Machine Learning Studio"
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run_metrics:
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description: "Metrics of the run (will only be provided if wait_for_completion is set to True)"
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run_metrics_markdown:
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description: "Metrics of the run formatted as markdown table (will only be provided if wait_for_completion is set to True)"
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published_pipeline_id:
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description: "Id of the publised pipeline (will only be provided if you submitted a pipeline and pipeline_publish is set to True)"
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published_pipeline_status:
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description: "Status of the publised pipeline (will only be provided if you submitted a pipeline and pipeline_publish is set to True)"
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published_pipeline_endpoint:
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description: "Endpoint of the publised pipeline (will only be provided if you submitted a pipeline and pipeline_publish is set to True)"
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artifact_path:
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description: "Path of downloaded artifacts and logs from Azure Machine Learning (pipeline) run (will only be provided if wait_for_completion and download_artifacts is set to True)"
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branding:
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icon: "chevron-up"
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color: "blue"
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runs:
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using: "docker"
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image: "Dockerfile"
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