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`.
docstr: Updates the progbar.
docstr_tok: ["Updates","the","progbar","."]
code: def _update_progbar(self, batch, logs=None):
      """Updates the progbar."""
      logs = logs or {}
      self._maybe_init_progbar()
      self.seen = batch + 1  # One-indexed.
  
      if self.verbose == 1:
          self.progbar.update(
              self.seen, list(logs.items()), finalize=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 15 for calling the ProgbarLogger obj's underlying member method code with example usage: obj._update_progbar(batch, logs) without return types