class_docstr: Callback that prints metrics to stdout.
  
  Args:
      count_mode: One of `"steps"` or `"samples"`.
          Whether the progress bar should
          count samples seen or steps (batches) seen.
  
  Raises:
      ValueError: In case of invalid `count_mode`.
code: def __init__(self):
      super().__init__()
      self.seen = 0
      self.progbar = None
      self.target = None
      self.verbose = 1
      self.epochs = 1
  
      self._called_in_fit = False
  
imports: from keras.api_export import keras_export
  from keras.callbacks.callback import Callback
  from keras.utils import io_utils
  from keras.utils.progbar import Progbar
label_desc: Use image node_id 1 to create a new ProgbarLogger object from inherited base classes: Callback with example: obj = ProgbarLogger()