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Copy file name to clipboardExpand all lines: articles/machine-learning/service/how-to-monitor-data-drift.md
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ms.reviewer: jmartens
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ms.author: copeters
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author: cody-dkdc
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ms.date: 07/08/2019
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ms.date: 09/13/2019
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---
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# Detect data drift (preview) on models deployed to Azure Kubernetes Service (AKS)
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* Use the `RunDetails`[Jupyter widget](https://docs.microsoft.com/python/api/azureml-widgets/azureml.widgets?view=azure-ml-py).
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* Use the [`get_metrics()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.run%28class%29?view=azure-ml-py#get-metrics-name-none--recursive-false--run-type-none--populate-false-) functionon any `datadrift` run object.
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* View the metrics in the Azure portal on your model.
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* View the metrics from the **Models** section of your [workspace landing page (preview)](https://ml.azure.com).
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The following Python example demonstrates how to plot relevant data drift metrics. You can use the returned metrics to build custom visualizations:
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datadrift.disable_schedule()
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```
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The configuration of the data drift detector can be seen on the model details page in the Azure portal or your workspace landing page (preview).
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The configuration of the data drift detector can be seen under **Models**in the **Details** tab in your [workspace landing page (preview)](https://ml.azure.com).
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## View results in Azure portal
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## View results in your workspace landing page
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To view results in your workspace in [Azure portal](https://portal.azure.com), navigate to the model page. On the details tab of the model, the data drift configuration is shown. A 'Data Drift (preview)' tab is now available visualizing the data drift metrics.
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To view results in your workspace in [workspace landing page (preview)](https://ml.azure.com), navigate to the model page. On the details tab of the model, the data drift configuration is shown. A **Data drift** tab is now available visualizing the data drift metrics.
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[](media/how-to-monitor-data-drift/drift-ui-expanded.png)
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The results are also available in the model details in your [workspace landing page (preview)](https://ml.azure.com).
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