vscode-dev-containers/containers/azure-machine-learning-python-3

Azure Machine Learning & Python 3 - Anaconda

Summary

Use Azure Machine Learning with Python 3 - Anaconda. Includes Anaconda, the Docker CLI (for local testing), and related extensions and dependencies.

Metadata	Value
Contributors	The VS Code Team
Categories	Services, Azure
Definition type	Dockerfile
Works in Codespaces	Yes
Container host OS support	Linux, macOS, Windows
Container OS	Debian
Languages, platforms	Azure Machine Learning, Python, Anaconda

Using this definition

There are a few notes for using this definition:

1. This definition requires an Azure subscription to use. You can create a free account here and learn more about using Azure Machine Learning with VS Code here.

2. The definition also uses an Anaconda base image which can take some time to download the first time given its size.

3. If you are using Docker locally in your runconfig, you will need to set sharedVolumes to false since these will not work from inside a dev container.

Once you have an Azure account, follow these steps:

1. If this is your first time using a development container, please see getting started information on setting up Remote-Containers or creating a codespace using GitHub Codespaces.

2. Start VS Code and open your project folder or connect to a codespace.

3. Press F1 select and Add Development Container Configuration Files... command for Remote-Containers or Codespaces.

   Note: If needed, you can drag-and-drop the .devcontainer folder from this sub-folder in a locally cloned copy of this repository into the VS Code file explorer instead of using the command.

4. Select this definition. You may also need to select Show All Definitions... for it to appear.

5. Finally, press F1 and run Remote-Containers: Reopen Folder in Container or Codespaces: Rebuild Container to start using the definition.

License

Copyright (c) Microsoft Corporation. All rights reserved.

Licensed under the MIT License. See LICENSE.