In my text categorizations, it is possible that sometimes two categories apply to a given text. So when I run the following code, the model will sometimes predict two categories:
In some cases, however, the model predicts two categories, but only one of them is actually correct. It does not seem able for me to correct that; I can't "de-select" one category, and accept the other.
Should I just reject or ignore the annotation?
Can you explain what happens to rejected and ignored annotations when I retrain the model?
Thanks for your response, apologies for the delay in replying!
You are correct, I ran the code without whitespaces between labelnames – I made a mistake in the example!
My interface doesn't look exactly like yours, however. I can only select one category. In this example there are two categories (incorrectly) labeled in grey. I was assuming this meant that they are both selected, but now I am not sure. If my interface looked more like your example, that would be more useful.
Just to check, do you have a custom prodigy.json file defined? If so, does it have the choice_style setting set to "single"? It might be good to manually set it to "manual". The docs explain the reasoning behind this setting here.