Remove training data from spacy model
You mean to revert specific cases? As far as I know, that's not currently possible in spaCy. 
I would suggest to either retrain from scratch with the corrected annotations, or continue training with the updated annotations. If you continue training, make sure that you keep feeding a representative set to your model, so that it doesn't "forget" cases it was already predicting correctly before.
I have trained a spacy textcat model but then I realized that there were some incorrect training data: data from one category happened to be labeled with another category. My question is: is it possible to remove these training examples from the model without retraining it? Something like nlp.update() but in reverse? Would appreciate any help!