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您好,您的代码很优秀,我有一些问题想请教 _add_external_information如何使用,我将traffic_state_dataset.py的方法get_data里的代码块: x_train, y_train, x_val, y_val, x_test, y_test = [], [], [], [], [], [] if self.data is None: self.data = {} if self.cache_dataset and os.path.exists(self.cache_file_name): x_train, y_train, x_val, y_val, x_test, y_test = self._load_cache_train_val_test() else: x_train, y_train, x_val, y_val, x_test, y_test = self._generate_train_val_test()的代码改为 x_train, y_train, x_val, y_val, x_test, y_test = self._generate_train_val_test()是正确的吗
The text was updated successfully, but these errors were encountered:
_load_cache_train_val_test()方法是在跑过一个数据集并缓存之后,为了减少读取数据时间使用的。如果没有这个需求,不使用这个方法也可以的
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您好,您的代码很优秀,我有一些问题想请教
_add_external_information如何使用,我将traffic_state_dataset.py的方法get_data里的代码块:
x_train, y_train, x_val, y_val, x_test, y_test = [], [], [], [], [], []
if self.data is None:
self.data = {}
if self.cache_dataset and os.path.exists(self.cache_file_name):
x_train, y_train, x_val, y_val, x_test, y_test = self._load_cache_train_val_test()
else:
x_train, y_train, x_val, y_val, x_test, y_test = self._generate_train_val_test()的代码改为 x_train, y_train, x_val, y_val, x_test, y_test = self._generate_train_val_test()是正确的吗
The text was updated successfully, but these errors were encountered: