class_docstr: Save recognition result temporarily.
  
  Attributes:
    founded_command: A string indicating the word just founded. Default value
      is '_silence_'
    score: A float representing the confidence of founded word. Default
      value is zero.
    is_new_command: A boolean indicating if the founded command is a new one
      against the last one. Default value is False.
class_docstr_tok: ["Save","recognition","result","temporarily",".","Attributes",":","founded_command",":","A","string","indicating","the","word","just","founded",".","Default","value","is","'_silence_'","score",":","A","float","representing","the","confidence","of","founded","word",".","Default","value","is","zero",".","is_new_command",":","A","boolean","indicating","if","the","founded","command","is","a","new","one","against","the","last","one",".","Default","value","is","False","."]
code: def score(self):
      return self._score
  
file_path: tensorflow-upstream/tensorflow/examples/speech_commands/recognize_commands.py
imports: import collections
  import numpy
label_desc: Use image node_id 4 for calling the RecognizeResult obj's underlying member method code with example usage: obj.score() and returns: self