class_docstr: Keras callback integration.
  Pass an instance of this class to Keras model ``fit`` method as argument ``callbacks``.
  Keras will call relavent mehtods of this class to log metrics.
code: def _parse_logs(logs: Optional[Dict[str, any]]):
      data = {}
      if logs is None:
          return data
      for k, v in logs.items():
          if k in _MAP:
              k = _MAP[k]
          if k is None:
              continue
  
          data[k] = v
  
      return data
  
file_path: labml/client/labml/utils/keras.py
imports: from typing import Dict, Optional
  import tensorflow
  from labml import tracker, logger
label_desc: Use image node_id 2 for calling the LabMLKerasCallback obj's underlying member method code with example usage: obj._parse_logs(logs) and returns: data, data