https://github.com/marvinbuss/aml-docker
Docker image with pre-installed Azure ML Python SDK.
https://github.com/marvinbuss/aml-docker
analytics azure azure-machine-learning data-science machine-learning
Last synced: over 1 year ago
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Docker image with pre-installed Azure ML Python SDK.
- Host: GitHub
- URL: https://github.com/marvinbuss/aml-docker
- Owner: marvinbuss
- License: mit
- Created: 2020-03-10T07:42:46.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-09-21T12:52:25.000Z (almost 5 years ago)
- Last Synced: 2025-02-10T07:42:03.880Z (over 1 year ago)
- Topics: analytics, azure, azure-machine-learning, data-science, machine-learning
- Language: Dockerfile
- Homepage:
- Size: 56.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Azure Machine Learning Docker Image
This Docker image is based on the `python:3.8-slim` image and comes pre-installed with the [Azure Machine Learning SDK for Python](https://docs.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py). The image is publicly available on Docker Hub: https://hub.docker.com/r/marvinbuss/aml-docker
## Docker Container Details
Python Version: 3.8.6
# GitHub Actions for Azure Machine Learning
This image is used for several GitHub Actions for Azure Machine Learning:
- [aml-workspace](https://github.com/Azure/aml-workspace) - Connects to or creates a new workspace
- [aml-compute](https://github.com/Azure/aml-compute) - Connects to or creates a new compute target in Azure Machine Learning
- [aml-run](https://github.com/Azure/aml-run) - Submits a ScriptRun, an Estimator or a Pipeline to Azure Machine Learning
- [aml-registermodel](https://github.com/Azure/aml-registermodel) - Registers a model to Azure Machine Learning
- [aml-deploy](https://github.com/Azure/aml-deploy) - Deploys a model and creates an endpoint for the model
For more information, please visit the repositories of the respective action.
There are also templates available, which show you, how the end to end process looks like:
1. Simple example: [ml-template-azure](https://github.com/machine-learning-apps/ml-template-azure) and
2. Comprehensive example: [aml-template](https://github.com/Azure/aml-template).