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I uploaded a PlainText file in a JSON format to the new Azure Machine Learning Studio (studio.azureml.net), but I cannot connect the PlainText object with any module. I get all the time the error message "Cannot connect PlainText to Dataset...".
At the documentation (here) is written that "Plain text can be read and then split up into columns with the help of downstream preprocessing modules.", but I can't find any downstream preprocessing modules.
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Select Data source, and choose the data source type. It could be HTTP or datastore. If you choose datastore, you can select existing datastores that are already registered to your Azure Machine Learning workspace or create a new datastore. Then define the path of data to import in the datastore.
This project has adopted the Microsoft Open Source Code of Conduct.
Cross-validation data is taken from train data is a false statement. Explanation: In Azure ML studio, the testing, building, and analysis off solution of a data is done. It is a machine learning tool.
Actually Azure ML can't process JSON data. It will probably be added in a future update, but the easiest way (in my opinion) to consume that data is to convert it into CSV format. This can be done quickly with Power Query. Then you upload the CSV file as a new dataset.
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