The KNIME hub contains an example called “02_Document_Classification”. In this example the training of a text classifier is illustrated which is followed by a deployment pipeline. When applying this to my own dataset, I struggled with getting the dictionary structure that is loaded in with the Table Reader in the deployment pipeline. Where does this dictionary come from? Is this something that I have to extract from the training workflow and if yes, how is this done?
Thanks a lot!