class_docstr: Abstraction which performs intent parsing
  
  A custom intent parser must inherit this class to be used in a
  :class:`.SnipsNLUEngine`
class_docstr_tok: ["Abstraction","which","performs","intent","parsing","A","custom","intent","parser","must","inherit","this","class","to","be","used","in","a",":","class",":","`",".SnipsNLUEngine","`"]
docstr: Performs intent classification on the provided *text* and returns
  the list of intents ordered by decreasing probability
  
  The length of the returned list is exactly the number of intents in the
  dataset + 1 for the None intent
  
  .. note::
  
      The probabilities returned along with each intent are not
      guaranteed to sum to 1.0. They should be considered as scores
      between 0 and 1.
docstr_tok: ["Performs","intent","classification","on","the","provided","*","text","*","and","returns","the","list","of","intents","ordered","by","decreasing","probability","The","length","of","the","returned","list","is","exactly","the","number","of","intents","in","the","dataset","+","1","for","the","None","intent","..","note",":",":","The","probabilities","returned","along","with","each","intent","are","not","guaranteed","to","sum","to","1.0",".","They","should","be","considered","as","scores","between","0","and","1","."]
code: def get_intents(self, text):
      """Performs intent classification on the provided *text* and returns
      the list of intents ordered by decreasing probability
  
      The length of the returned list is exactly the number of intents in the
      dataset + 1 for the None intent
  
      .. note::
  
          The probabilities returned along with each intent are not
          guaranteed to sum to 1.0. They should be considered as scores
          between 0 and 1.
      """
      pass
  
file_path: snips-nlu/snips_nlu/intent_parser/intent_parser.py
imports: from abc import abstractmethod, ABCMeta
  from future.utils import with_metaclass
  from snips_nlu.common.abc_utils import classproperty
  from snips_nlu.pipeline.processing_unit import ProcessingUnit
label_desc: Use image node_id 4 for calling the IntentParser obj's underlying member method code with example usage: obj.get_intents(text) without return types