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Adding text categories to an existing model is not allowed?
See original GitHub issueI have a general question about text categorizing.
As far as I understand, it is not possible to add a new Category in an already existing model. If I load a ‘textcat’ pipe from an existing model, I am not allowed to add new categories. As a result the following code will not work:
nlp = spacy.load(modelPath)
textcat = nlp.get_pipe("textcat")
textcat.add_label("my_new_category")
Is this correct?
This implies that I have to know all categories for my model before I start the training for a new empty model.
This behaviour seems to be different to the Entity Recognition feature. When I get a ‘ner’ pipe from an existing model I can provide new entities and spyCy will refine the model.
I just ask this, because form the documentation and examples (which in general are really great!) this restriction is not clearly documented.
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (3 by maintainers)
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That’s right, you can’t add new labels to an existing textcat model in v2. (You will be able to to in v3, though!)
It depends on the component (you also can’t add labels to a tagger) and you’re right that this isn’t clearly documented.
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