keras中的History对象用法

Posy ·

更新时间:2024-11-01

· 787 次阅读

keras中的fit_generator和fit函数均返回History对象，那么History怎么用呢？事实上History对象已经记录了运行输出。在了解之前，我们甚至自己定义回调函数记录损失和准确率等。

相关keras源码位于网址：


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)

可以看出History类对象包含两个属性，分别为epoch和history，epoch为训练轮数。

根据compile参数metrics，history包含不同的内容。比如，当某一次metrics=['accuracy']时，运行如下部分代码我们可以看出，history字典类型，包含val_loss,val_acc,loss,acc四个key值。


####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'])

{‘val_loss': [0.4231100323200226, 0.3713115310668945, 0.3836631367206573], ‘val_acc': [0.815, 0.84, 0.83], ‘loss': [0.8348453622311354, 0.5010451343324449, 0.4296100065112114], ‘acc': [0.630859375, 0.7509920634920635, 0.783203125]}
[0, 1, 2]
[0.4231100323200226, 0.3713115310668945, 0.3836631367206573]

补充知识：在ipython中使用%history快速查找历史命令

1、输出所有历史记录，且带有序号


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

2、按序号，查找某些序号区间的历史纪录


 %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?
 185: %history -u
 186: %history -n -u
 187: ?%history
 188: %history -g method
 189: %history -g method print
 190: %history -g for method,

3、模糊查找


 %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软件开发网。

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keras history

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