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mirror of https://github.com/newnius/YAO-optimizer.git synced 2025-12-13 00:16:44 +00:00

add files

This commit is contained in:
2020-04-30 01:21:41 +08:00
parent 8a6fecbb3b
commit 7b37ed7a8c
2 changed files with 27 additions and 24 deletions

View File

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