def _predict(self, joke: H2OFrame):
words = self._tokenize(joke["dad_joke"].ascharacter())
reviews_vec = self.w2v_model.transform(words,
aggregate_method="AVERAGE")
model_data = joke.cbind(reviews_vec)
return self.dad_joke_model.predict(model_data)
