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keras中的History對(duì)象用法

更新時(shí)間：2020年06月19日 08:48:46 作者：李上花開

這篇文章主要介紹了keras中的History對(duì)象用法，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧

keras中的fit_generator和fit函數(shù)均返回History對(duì)象，那么History怎么用呢？事實(shí)上History對(duì)象已經(jīng)記錄了運(yùn)行輸出。在了解之前，我們甚至自己定義回調(diào)函數(shù)記錄損失和準(zhǔn)確率等。

相關(guān)keras源碼位于網(wǎng)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類對(duì)象包含兩個(gè)屬性，分別為epoch和history，epoch為訓(xùn)練輪數(shù)。

根據(jù)compile參數(shù)metrics，history包含不同的內(nèi)容。比如，當(dāng)某一次metrics=['accuracy']時(shí)，運(yùn)行如下部分代碼我們可以看出，history字典類型，包含val_loss,val_acc,loss,acc四個(gè)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], ‘a(chǎn)cc': [0.630859375, 0.7509920634920635, 0.783203125]}
[0, 1, 2]
[0.4231100323200226, 0.3713115310668945, 0.3836631367206573]

補(bǔ)充知識(shí)：在ipython中使用%history快速查找歷史命令

1、輸出所有歷史記錄，且?guī)в行蛱?hào)

 %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、按序號(hào)，查找某些序號(hào)區(qū)間的歷史紀(jì)錄

 %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*

以上這篇keras中的History對(duì)象用法就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持腳本之家。

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