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learn-pr/wwl-data-ai/experiment-azure-machine-learning/includes/6-train-models-notebooks.md

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@@ -46,7 +46,7 @@ As soon as `mlflow.xgboost.autolog()` is called, MLflow starts a run within an e
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When the job completes, you can review all logged metrics in the studio.
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:::image type="content" source="../media/auto-results.png" alt-text="Screenshot of overview page of MLflow experiment with autologging in Azure Machine Learning studio." lightbox="../media/autolog-results.png":::
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:::image type="content" source="../media/auto-results.png" alt-text="Screenshot of overview page of MLflow experiment with autologging in Azure Machine Learning studio." lightbox="../media/auto-results.png":::
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### Use custom logging
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