class_docstr: Callback that records events into a `History` object.
  
  This callback is automatically applied to
  every Keras model. The `History` object
  gets returned by the `fit()` method of models.
  
  Example:
  
  >>> model = Sequential([layers.Dense(10)])
  >>> model.compile(SGD(), loss='mse')
  >>> history = model.fit(np.arange(100).reshape(5, 20), np.zeros(5),
  ...                     epochs=10, verbose=1)
  >>> print(history.params)
  {'verbose': 1, 'epochs': 10, 'steps': 1}
  >>> # check the keys of history object
  >>> print(history.history.keys())
  dict_keys(['loss'])
code: def on_epoch_end(self, epoch, logs=None):
      logs = logs or {}
      self.epoch.append(epoch)
      for k, v in logs.items():
          self.history.setdefault(k, []).append(v)
  
      # Set the history attribute on the model after the epoch ends. This will
      # make sure that the state which is set is the latest one.
      self.model.history = self
  
imports: from keras.api_export import keras_export
  from keras.callbacks.callback import Callback
label_desc: Use image node_id 3 for calling the History obj's underlying member method code with example usage: obj.on_epoch_end(epoch, logs) without return types