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{
'intent':{
'name':'affirm+ask_transport',
'confidence':0.918471097946167
},
'entities':[
],
'intent_ranking':[
{
interpreter = Interpreter.load('models/current/nlu_model')
print(interpreter.parse("Yes. Can you give me suggestions on how to get there?"))
pipeline:
- name: "intent_featurizer_count_vectors"
- name: "intent_classifier_tensorflow_embedding"
intent_tokenization_flag: true
intent_split_symbol: "+"