def prepareModels(self, xml_file, type):
comentarios = self.procesar(xml_file, type)
train = []
for i in comentarios:
train.append(i[0])
model = VM(train)
vectorModelData = model.prepare_models()
modelVectorizer = vectorModelData[0]
modelVectorizerTFIDF = vectorModelData[1]
modelTFIDF = vectorModelData[2]
if type == 1:
write_data_to_disk(simpleVectorizer, modelVectorizer)
write_data_to_disk(tfidfVectorizer, modelVectorizerTFIDF)
write_data_to_disk(tfidfModel, modelTFIDF)
else:
write_data_to_disk(simpleVectorizerp, modelVectorizer)
write_data_to_disk(tfidfVectorizerp, modelVectorizerTFIDF)
write_data_to_disk(tfidfModelp, modelTFIDF)
