code: def intent_classification_result(intent_name, probability):
      """Creates an intent classification result to be returned by
      :meth:`.IntentClassifier.get_intent`
  
      Example:
  
          >>> intent_classification_result("GetWeather", 0.93)
          {'intentName': 'GetWeather', 'probability': 0.93}
      """
      return {RES_INTENT_NAME: intent_name, RES_PROBA: probability}
  
file_path: snips-nlu/snips_nlu/result.py
imports: from __future__ import unicode_literals
  from snips_nlu.constants import RES_ENTITY, RES_INPUT, RES_INTENT, RES_INTENT_NAME, RES_MATCH_RANGE, RES_PROBA, RES_RAW_VALUE, RES_SLOTS, RES_SLOT_NAME, RES_VALUE, ENTITY_KIND, RESOLVED_VALUE, VALUE
label_desc: Use image node_id 1 for calling a global function with example usage: intent_classification_result(intent_name, probability) and returns: dict