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27
serve.py
27
serve.py
@@ -116,22 +116,27 @@ class Data:
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self.config.test_data_path,
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usecols=self.config.feature_and_label_columns
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)
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data, data_column_name = init_data.values, init_data.columns.tolist()
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train_num = 0
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mean = np.mean(data, axis=0)
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std = np.std(data, axis=0)
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norm_data = (data - mean) / std
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start_num_in_test = 0
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feature_data = norm_data[0:]
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self.start_num_in_test = feature_data.shape[0] % self.config.time_step
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norm_data = (init_data - self.mean) / self.std
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feature_data = norm_data[:]
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time_step_size = feature_data.shape[0] // self.config.time_step
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test_x = [feature_data[start_num_in_test + i * self.config.time_step: start_num_in_test + (
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test_x = [feature_data[0 + i * self.config.time_step: 0 + (
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i + 1) * self.config.time_step]
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for i in range(time_step_size)]
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if return_label_data:
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label_data = norm_data[train_num + start_num_in_test:, self.config.label_in_feature_columns]
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label_data = norm_data[0:, self.config.label_in_feature_columns]
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return np.array(test_x), label_data
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return np.array(test_x)
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feature_data = self.norm_data[self.train_num:]
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self.start_num_in_test = feature_data.shape[0] % self.config.time_step
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time_step_size = feature_data.shape[0] // self.config.time_step
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test_x = [feature_data[self.start_num_in_test + i * self.config.time_step: self.start_num_in_test + (
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i + 1) * self.config.time_step]
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for i in range(time_step_size)]
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if return_label_data:
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label_data = self.norm_data[self.train_num + self.start_num_in_test:, self.config.label_in_feature_columns]
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return np.array(test_x), label_data
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return np.array(test_x)
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