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Hello, I am using the AutoML of Azure ML. I don't understand the diagram of Data transformation (that is still in preview). It tells me that I start with 26 columns, which is correct, but then says I'm ending up with 1 column only, after a MeanImputer. ![114216-1column.png][1] If I check the engineered features in the code, I get this table, so 26 columns with the application of MeanImputer for each of them. ![114215-allcolumns.png][2] Could you tell me why the diagram tells me that there is only 1 column at the end? [1]: /api/attachments/114216-1column.png?platform=QnA [2]: /api/attachments/114215-allcolumns.png?platform=QnA
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Hi, can you please share the document you are referencing so we can understand your scenario a little bit more? Thanks.
Hi, II am referencing the following functionality of Azure ML: ("Data transformation" inside a particular sub-run of AutoML. ![114315-azureml-issue.png][1] This feature is still in preview. I'm trying to figure out why I get "1 column" at the end of this diagram, when I don't see any step that would select a single column. I hope this is clear enough. [1]: /api/attachments/114315-azureml-issue.png?platform=QnA
Thanks for pointing this out. This feature is still in preview, I followed up with the product team, we currently have a work item to improve this feature (we don't have an ETA at the moment). Please disregard the summary workflow for now. Will follow-up with updates accordingly. Hope this helps!