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2019-06-10 15:10:57 -04:00

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## Use MLflow with Azure Machine Learning service (Preview)
[MLflow](https://mlflow.org/) is an open-source platform for tracking machine learning experiments and managing models. You can use MLflow logging APIs with Azure Machine Learning service: the metrics and artifacts are logged to your Azure ML Workspace.
Try out the sample notebooks:
* [Use MLflow with Azure Machine Learning for local training run](./train-local/train-local.ipynb)
* [Use MLflow with Azure Machine Learning for remote training run](./train-remote/train-remote.ipynb)
* [Deploy Model as Azure Machine Learning web service using MLflow](./deploy-model/deploy-model.ipynb)
![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/using-mlflow/README..png)