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Merge pull request #215237 from santiagxf/santiagxf/aml-mlflow-preview
Update how-to-train-mlflow-projects.md
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articles/machine-learning/how-to-train-mlflow-projects.md

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title: Train with MLflow Projects
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title: Train with MLflow Projects (Preview)
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titleSuffix: Azure Machine Learning
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description: Set up MLflow with Azure Machine Learning to log metrics and artifacts from ML models
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services: machine-learning
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ms.custom: how-to, devx-track-python, sdkv1, event-tier1-build-2022
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# Train ML models with MLflow Projects and Azure Machine Learning
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# Train ML models with MLflow Projects and Azure Machine Learning (Preview)
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In this article, learn how to enable MLflow's tracking URI and logging API, collectively known as [MLflow Tracking](https://mlflow.org/docs/latest/quickstart.html#using-the-tracking-api), to submit training jobs with [MLflow Projects](https://www.mlflow.org/docs/latest/projects.html) and Azure Machine Learning backend support. You can submit jobs locally with Azure Machine Learning tracking or migrate your runs to the cloud like via an [Azure Machine Learning Compute](./how-to-create-attach-compute-cluster.md).
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