class_docstr: Base object for computing metrics on generated audio samples.
class_docstr_tok: ["Base","object","for","computing","metrics","on","generated","audio","samples","."]
docstr: Initialize metrics dictionary with keys and keras metric objects.
docstr_tok: ["Initialize","metrics","dictionary","with","keys","and","keras","metric","objects","."]
code: def metrics(self):
      """Initialize metrics dictionary with keys and keras metric objects."""
      raise NotImplementedError()
  
imports: import dataclasses
  from absl import logging
  import ddsp
  import librosa
  import mir_eval
  import note_seq
  from note_seq import sequences_lib
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the BaseMetrics obj's underlying member method code with example usage: obj.metrics() without return types