mirror of https://github.com/explosion/spaCy.git
20 lines
553 B
Python
20 lines
553 B
Python
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from __future__ import unicode_literals
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from ...language import Language
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def test_simple_train():
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nlp = Language()
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nlp.add_pipe(nlp.create_pipe('textcat'))
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nlp.get_pipe('textcat').add_label('is_good')
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nlp.begin_training()
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for i in range(5):
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for text, answer in [('aaaa', 1.), ('bbbb', 0), ('aa', 1.),
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('bbbbbbbbb', 0.), ('aaaaaa', 1)]:
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nlp.update([text], [{'cats': {'answer': answer}}])
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doc = nlp(u'aaa')
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assert 'is_good' in doc.cats
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assert doc.cats['is_good'] >= 0.5
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