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Top-level directory for official Azure Machine Learning sample code and notebooks.

Azure Machine Learning Examples

smoke cleanup code style: black license: MIT

Welcome to the Azure Machine Learning examples repository!

Prerequisites

  1. An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
  2. A terminal and Python >=3.6,<3.9.

Setup

Clone this repository and install required packages:

git clone https://github.com/Azure/azureml-examples --depth 1
cd azureml-examples
pip install --upgrade -r requirements.txt

To create or setup a workspace with the assets used in these examples, run the setup script.

If you do not have an Azure ML workspace, run python setup-workspace.py --subscription-id $ID, where $ID is your Azure subscription id. A resource group, Azure ML workspace, and other necessary resources will be created in the subscription.

If you have an Azure ML Workspace, install the Azure ML CLI and run az ml folder attach -w $WS -g $RG, where $WS and $RG are the workspace and resource group names.

Run python setup-workspace.py -h to see other arguments.

Getting Started

To get started, see the introductory tutorial which uses Azure ML to:

  • run a "hello world" job on cloud compute, demonstrating the basics
  • run a series of PyTorch training jobs on cloud compute, demonstrating mlflow tracking & using cloud data

These concepts are sufficient to understand all examples in this repository, which are listed below.

Examples