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articles/machine-learning/how-to-use-automlstep-in-pipelines.md

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@@ -462,7 +462,7 @@ For more information on loading and working with existing models, see [Use an ex
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If you've been following along with the article, you'll have an instantiated `run` object. But you can also retrieve completed `Run` objects from the `Workspace` by way of an `Experiment` object.
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The workspace contains a complete record of all your experiments and runs. You can either use the portal to find and download the outputs of experiments or use code. To access the records from a historic run, use Azure Machine Learning to find the id of the run in which you are interested. With that, you can choose the specific `run` by way of the `Workspace` and `Experiment`.
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The workspace contains a complete record of all your experiments and runs. You can either use the portal to find and download the outputs of experiments or use code. To access the records from a historic run, use Azure Machine Learning to find the ID of the run in which you are interested. With that, you can choose the specific `run` by way of the `Workspace` and `Experiment`.
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```python
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# Retrieved from Azure Machine Learning web UI

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