class_docstr: Stores the entire CTC output as an array of character metadata objects
docstr: Approximated confidence value for this transcription. This is roughly the
  sum of the acoustic model logit values for each timestep/character that
  contributed to the creation of this transcription.
docstr_tok: ["Approximated","confidence","value","for","this","transcription",".","This","is","roughly","the","sum","of","the","acoustic","model","logit","values","for","each","timestep\/character","that","contributed","to","the","creation","of","this","transcription","."]
code: def confidence(self):
      """
      Approximated confidence value for this transcription. This is roughly the
      sum of the acoustic model logit values for each timestep/character that
      contributed to the creation of this transcription.
      """
  
imports: import os
  import platform
  import deepspeech
  from deepspeech.impl import Version
label_desc: Use image node_id 2 for calling the CandidateTranscript obj's underlying member method code with example usage: obj.confidence() without return types