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update descriptions of regenerate output
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articles/machine-learning/algorithm-module-reference/export-data.md

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@@ -36,11 +36,11 @@ Before exporting your data, you need to first register a datastore in your Azure
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1. For **Datastore**, select an existing datastore from the dropdown list. You can also create a new datastore. Check how by visiting [Access data in Azure storage services](../how-to-access-data.md).
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1. The checkbox, **Regenerate output**, decides whether execute the module with rewriting results each time. The checkbox is by default unselected, to save resource.
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1. The checkbox, **Regenerate output**, decides whether to execute the module to regenerate output at running time.
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If you select this option, results are written to storage each time the module is run, regardless of whether the output data has changed.
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It's by default unselected, which means if the module has been executed with the same parameters previously, the system will reuse the output from last run to reduce run time.
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If you deselect this option, Export Data uses cached data, if available. New results are generated only when there is an upstream change that would affect the results.
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If it is selected, the system will execute the module again to regenerate output.
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1. Define the path in the datastore where the data is. The path is a relative path. The empty paths or a URL paths are not allowed.
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articles/machine-learning/algorithm-module-reference/import-data.md

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@@ -54,11 +54,12 @@ If your source data changes, you can refresh the dataset and add new data by rer
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![import-data-preview](media/module/import-data.png)
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1. The checkbox, **Regenerate output**, decides whether execute the module with rewriting results each time. The checkbox is by default unselected, to save resource.
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1. The checkbox, **Regenerate output**, decides whether to execute the module to regenerate output at running time.
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If you select this option, results are written to storage each time the module is run, regardless of whether the output data has changed.
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It's by default unselected, which means if the module has been executed with the same parameters previously, the system will reuse the output from last run to reduce run time.
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If it is selected, the system will execute the module again to regenerate output. So select this option when underlying data in storage is updated, it can help to get the latest data.
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If you deselect this option, Import Data uses cached data, if available. New results are generated only when there is an upstream change that would affect the results.
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1. Run the pipeline.
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