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[`cli`](cli)|Azure Machine Learning 2.0 CLI (preview) examples
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[`notebooks`](notebooks)|Jupyter notebooks with MLflow tracking to an Azure ML workspace
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[`python-sdk`](python-sdk)|Azure Machine Learning Python SDK examples
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[`setup-ci`](setup-ci) | Sample setup scripts to customize and configure an Azure Machine Learning compute instance
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## Contributing
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---
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page_type: sample
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languages:
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- bash
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products:
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- azure-machine-learning
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description: Sample setup scripts to customize and configure a compute instance at provisioning time.
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---
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# Compute instance sample setup scripts
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[![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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[![license: MIT](https://img.shields.io/badge/License-MIT-purple.svg)](../LICENSE)
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Use these sample setup scripts to customize and configure an Azure Machine Learning [compute instance](https://docs.microsoft.com/azure/machine-learning/concept-compute-instance) at provisioning time. To use a script:
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1. [Copy or upload the script to studio](https://docs.microsoft.com/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python#create-the-setup-script)
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1. Reference the script when provisioning a compute instance:
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* [In studio](https://docs.microsoft.com/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python#use-the-script-in-the-studio)
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* [In a Resource Manager template](https://docs.microsoft.com/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python#use-script-in-a-resource-manager-template)
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For more information about setup scripts, see [Customize the compute instance with a script (preview)](https://docs.microsoft.com/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python#setup-script)
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