MLflow with Azure Machine Learning

We’ll walk through the concepts and features of MLflow support in Azure Machine Learning. We’ll be showing a few examples on how to manage your machine learning assets using MLflow in variety of workflows including GitHub Actions.

Jump To:

[01:00] What is Mlflow?
[02:16] Why MLflow is useful
[03:35] Intro to using AzureML and MLflow together
[05:20] Demo - How to start tracking with MLflow in AzureML
[08:00] Demo – Using MLflow Projects with AzureML
[10:33] Why use MLflow and AzureML together
[16:23] Walk through CI/CD example with MLflow, AzureML and GitHub Actions

More information:

MLflow Tracking for ML experiments - Azure Machine Learning | Microsoft Docs https://aka.ms/DevOpsLab/MLflowTracking
MachineLearningNotebooks/how-to-use-azureml/ml-frameworks/using-mlflow at master Azure/MachineLearningNotebooks (github.com) https://aka.ms/DevOpsLab/MLNotebooksFrameworks
MachineLearningNotebooks/how-to-use-azureml/track-and-monitor-experiments/using-mlflow at master · Azure/MachineLearningNotebooks (github.com) https://aka.ms/DevOpsLab/MLNotebooksTrackandMonitor

Azure DevOps Docs https://aka.ms/AzureDevOps/Docs
GitHub Actions https://aka.ms/GitHubActions
Azure DevOps YouTube https://aka.ms/AzureDevOpsYouTube
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Видео MLflow with Azure Machine Learning канала Azure DevOps