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Update how-to-track-designer-experiments.md
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articles/machine-learning/how-to-track-designer-experiments.md

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@@ -56,7 +56,7 @@ The following example shows you how to log the mean squared error of two trained
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return dataframe1,
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```
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This code uses the Azure Machine Learning Python SDK to log values. It uses Run.get_context() to get the context of the current job. It then logs values to that context with the job.parent.log() method. It uses `parent` to log values to the parent pipeline job rather than the component job.
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This code uses the Azure Machine Learning Python SDK to log values. It uses Run.get_context() to get the context of the current run. It then logs values to that context with the run.parent.log() method. It uses `parent` to log values to the parent pipeline run rather than the component run.
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For more information on how to use the Python SDK to log values, see [Enable logging in Azure ML training runs](how-to-log-view-metrics.md).
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