Source: devblogs.microsoft.com
Using Azure Machine Learning from GitHub ActionsCategory: Business, Data, Microsoft, github, automation, machine-learning, artificial-intelligence
Azure Machine Learning is an Enterprise-grade Machine Learning service that can help you build and deploy your predictive models faster. It also has a number of features to help you mature your machine learning process with MLOps.
Here’s an example of the job and steps you might have in your workflow: That final line is a call to Azure Machine Learning to submit a pipeline for execution called myproject-pipeline defined in aml_config/pipeline.yml in the repository.
By contrast, The CLI and Python SDK allow you to perform any operation in Azure Machine Learning.
Using GitHub alongside Azure Machine Learning gives you the best of both worlds and lets you use the right tool for the job without compromising.
Here’s an example of the job and steps you might have in your workflow: That final line is a call to Azure Machine Learning to submit a pipeline for execution called myproject-pipeline defined in aml_config/pipeline.yml in the repository.
By contrast, The CLI and Python SDK allow you to perform any operation in Azure Machine Learning.
Using GitHub alongside Azure Machine Learning gives you the best of both worlds and lets you use the right tool for the job without compromising.
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