Erro na aula – Classificação de sentimentos com spaCy 6

[André]

Prezados, boa noite.

Estou encontrando esse erro, e gostaria que pudesse me ajudar…

# Etapa 5 : Criação do Classificador

modelo = spacy.blank(‘pt’)
categorias = modelo.create_pipe(“textcat”)
categorias.add_label(“ALEGRIA”)
categorias.add_label(“MEDO”)
modelo.add_pipe(categorias) # Erro acontece aqui….
historico = []

 

#### Mensagem de erro abaixo  ####

ValueError Traceback (most recent call last)

<ipython-input-56-a854a45c4284> in <module>
5 categorias.add_label(“ALEGRIA”)
6 categorias.add_label(“MEDO”)
—-> 7 modelo.add_pipe(categorias)
8 historico = []

/usr/local/lib/python3.7/dist-packages/spacy/language.py in add_pipe(self, factory_name, name, before, after, first, last, source, config, raw_config, validate)
777 bad_val = repr(factory_name)
778 err = Errors.E966.format(component=bad_val, name=name)
–> 779 raise ValueError(err)
780 name = name if name is not None else factory_name
781 if name in self.component_names:

ValueError: [E966] nlp.add_pipe now takes the string name of the registered component factory, not a callable component. Expected string, but got <spacy.pipeline.textcat.TextCategorizer object at 0x7f32332bc9f0> (name: ‘None’).

– If you created your component with nlp.create_pipe('name'): remove nlp.create_pipe and call nlp.add_pipe('name') instead.

– If you passed in a component like TextCategorizer(): call nlp.add_pipe with the string name instead, e.g. nlp.add_pipe('textcat').

– If you’re using a custom component: Add the decorator @Language.component (for function components) or @Language.factory (for class components / factories) to your custom component and assign it a name, e.g. @Language.component('your_name'). You can then run nlp.add_pipe('your_name') to add it to the pipeline.

 

 

[Fábio Spak]

Olá André, você esta utilizando essa versão?

!pip install -q spacy==2.2.3

Fabio

[Autor]

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