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Update articles/machine-learning/how-to-use-mlflow-cli-runs.md
Co-authored-by: Nina Baccam <[email protected]>
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articles/machine-learning/how-to-use-mlflow-cli-runs.md

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## Automatic logging
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With Azure Machine Learning and MLFlow, users are able to automatically log metrics, model parameters and mode artifacts automatically when train models using a [variety of popular machine learning libraries](https://mlflow.org/docs/latest/tracking.html#automatic-logging).
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To enable [Automatic Logging](https://mlflow.org/docs/latest/tracking.html#automatic-logging) insert the following code before your training code:
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To enable [automatic logging](https://mlflow.org/docs/latest/tracking.html#automatic-logging) insert the following code before your training code:
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```Python
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mlflow.autolog()

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