I have successfully deployed an ML web service using the Reader module to take in CSV data from my blob storage. I can see the CSV data is correct by visualizing it in the experiment.
However, when I try to provide the SAME CSV data as input to the web service using the BES example from this tutorial, I get the following error:
Error 1000: AFx Library exception: table: The data set being scored must
contain all features used during training, missing feature(s): 'Col 2'.
This error makes no sense as the SAME data is successfully accepted by the experiment.
Also, note that the same problem occurs when I use the TSV format.