def createtext(self):
Text = []
for x in self.Dict_List:
for k, v in x.items():
if k == 'text':
Text.append(v)
return Text
def train(self,training_data,cfg,**kwargs):
"""没有对模型进行训练，只是为了给之后的训练过程提供每句话对应的int_features"""
Text = []
for i, example in enumerate(training_data.training_examples):
Text.append(example.text)
examples = self.read_list_examples(Text)
features = convert_examples_to_features(
examples=examples, seq_length=self.max_seq_length, tokenizer=self.tokenizer)
for i,example in enumerate(training_data.training_examples):
example.set("int_feature", features[i])
