Use MLflow in Azure Databricks
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MLflow is an open source platform for managing the machine learning lifecycle that is natively supported in Azure Databricks.
Use MLflow to log parameters, metrics, and other details from experiment runs., Use MLflow to manage and deploy trained models.
Prerequisites
Before starting this module, you should be familiar with Azure Databricks and the machine learning model training process.
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