本文整理汇总了Python中keras.callbacks.BaseLogger方法的典型用法代码示例。如果您正苦于以下问题：Python callbacks.BaseLogger方法的具体用法？Python callbacks.BaseLogger怎么用？Python callbacks.BaseLogger使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类keras.callbacks的用法示例。
在下文中一共展示了callbacks.BaseLogger方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _prepare_callbacks
# 需要导入模块: from keras import callbacks [as 别名]
# 或者: from keras.callbacks import BaseLogger [as 别名]
def _prepare_callbacks(self,
callbacks: List[Callback],
val_ins: List[numpy.array],
epochs: int,
batch_size: int,
num_train_samples: int,
callback_metrics: List[str],
do_validation: bool,
verbose: int):
"""
Sets up Keras callbacks to perform various monitoring functions during training.
"""
self.history = History() # pylint: disable=attribute-defined-outside-init
callbacks = [BaseLogger()] + (callbacks or []) + [self.history]
if verbose:
callbacks += [ProgbarLogger()]
callbacks = CallbackList(callbacks)
# it's possible to callback a different model than self
# (used by Sequential models).
if hasattr(self, 'callback_model') and self.callback_model:
callback_model = self.callback_model
else:
callback_model = self # pylint: disable=redefined-variable-type
callbacks.set_model(callback_model)
callbacks.set_params({
'batch_size': batch_size,
'epochs': epochs,
'samples': num_train_samples,
'verbose': verbose,
'do_validation': do_validation,
'metrics': callback_metrics or [],
})
callbacks.on_train_begin()
callback_model.stop_training = False
for cbk in callbacks:
cbk.validation_data = val_ins
return callbacks, callback_model