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Feb 16th, 2019
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  1. def training_step(data, vectorizer):
  2. training_text = [data[0] for data in data]
  3. training_result = [data[1] for data in data]
  4.  
  5. training_text = vectorizer.fit_transform(training_text)
  6.  
  7. return BernoulliNB().fit(training_text, training_result)
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