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Newnius 2020-04-30 01:21:41 +08:00
parent 8a6fecbb3b
commit 7b37ed7a8c
2 changed files with 27 additions and 24 deletions
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24
.idea/workspace.xml
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@ -2,7 +2,6 @@
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<component name="ChangeListManager"> <component name="ChangeListManager">
<list default="true" id="0aedafd8-e57e-462a-beda-65af0b91f3df" name="Default Changelist" comment=""> <list default="true" id="0aedafd8-e57e-462a-beda-65af0b91f3df" name="Default Changelist" comment="">
<change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
<change beforePath="$PROJECT_DIR$/serve.py" beforeDir="false" afterPath="$PROJECT_DIR$/serve.py" afterDir="false" /> <change beforePath="$PROJECT_DIR$/serve.py" beforeDir="false" afterPath="$PROJECT_DIR$/serve.py" afterDir="false" />
</list> </list>
<ignored path="$PROJECT_DIR$/out/" /> <ignored path="$PROJECT_DIR$/out/" />
@ -44,13 +43,13 @@
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<usages-collector id="statistics.file.types.edit"> <usages-collector id="statistics.file.types.edit">
<counts> <counts>
<entry key="Dockerfile" value="16" /> <entry key="Dockerfile" value="16" />
<entry key="Python" value="1326" /> <entry key="Python" value="1357" />
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</session> </session>
@ -81,11 +80,11 @@
<file pinned="false" current-in-tab="true"> <file pinned="false" current-in-tab="true">
<entry file="file://$PROJECT_DIR$/serve.py"> <entry file="file://$PROJECT_DIR$/serve.py">
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@ -192,7 +191,7 @@
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@ -232,16 +231,15 @@
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@ -366,11 +364,11 @@
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<entry file="file://$PROJECT_DIR$/serve.py"> <entry file="file://$PROJECT_DIR$/serve.py">
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27
serve.py
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@ -116,22 +116,27 @@ class Data:
self.config.test_data_path, self.config.test_data_path,
usecols=self.config.feature_and_label_columns usecols=self.config.feature_and_label_columns
) )
data, data_column_name = init_data.values, init_data.columns.tolist() norm_data = (init_data - self.mean) / self.std
train_num = 0 feature_data = norm_data[:]
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
time_step_size = feature_data.shape[0] // self.config.time_step 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] i + 1) * self.config.time_step]
for i in range(time_step_size)] for i in range(time_step_size)]
if return_label_data: 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), label_data
return np.array(test_x) return np.array(test_x)