class History(Callback):
 """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.
 """

 def on_train_begin(self, logs=None):
  self.epoch = []
  self.history = {}

 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)

####省略若干
history = model.fit_generator(
  mp.train_flow,
  steps_per_epoch=32,
  epochs=3,
  validation_data=mp.test_flow,
  validation_steps=32)
print(history.history)
print(history.epoch)

print(history.history['val_loss'])

 %history -n

 150: %cpaste
 151: %cpaste
 152: print(r">")
 153: print(r'>')
 154: print(r'><')
 155: print(r'>')
 156: print(r'')
 157: print(r'>')
 ...

 %history -n 168-170 178 185-190
 
 168: planets
 169:
for method, group in planets.groupby('method'):
 print(f'{method:30s} method={group}')
 170:
for method, group in planets.groupby('method'):
 print(f'{method:30s} method={group.shape}')
 178: %history"htmlcode">

 %history -g print*metho*

 120:
for method, group in planets.groupby('method'):
 print(f"{method:30s} shape={groupe.shape}")
 121:
for method, group in planets.groupby('method'):
 print(f"{method:30s} shape={group.shape}")
 169:
for method, group in planets.groupby('method'):
 print(f'{method:30s} method={group}')
 170:
for method, group in planets.groupby('method'):
 print(f'{method:30s} method={group.shape}')
 182:
for method, group in planets.groupby('method'):
  print(f"{method:30s shape=group.shape}")
 198: %history -g print*metho*



以上这篇keras中的History对象用法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。