class_docstr: Base class for evaluators.
class_docstr_tok: ["Base","class","for","evaluators","."]
code: def __init__(self, sample_rate, frame_rate):
      self._sample_rate = sample_rate
      self._frame_rate = frame_rate
  
imports: import ddsp
  from ddsp.training import heuristics
  from ddsp.training import metrics
  from ddsp.training import summaries
  import gin
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new BaseEvaluator object from inherited base classes: object with example: obj = BaseEvaluator(sample_rate, frame_rate)