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Newnius
2020-04-30 01:10:20 +08:00
parent 54602b87b8
commit 0560bca8f6
2 changed files with 28 additions and 20 deletions
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24
.idea/workspace.xml generated
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@@ -2,6 +2,7 @@
<project version="4"> <project version="4">
<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/" />
@@ -43,13 +44,13 @@
<usages-collector id="statistics.file.extensions.edit"> <usages-collector id="statistics.file.extensions.edit">
<counts> <counts>
<entry key="Dockerfile" value="16" /> <entry key="Dockerfile" value="16" />
<entry key="py" value="1303" /> <entry key="py" value="1326" />
</counts> </counts>
</usages-collector> </usages-collector>
<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="1303" /> <entry key="Python" value="1326" />
</counts> </counts>
</usages-collector> </usages-collector>
</session> </session>
@@ -80,11 +81,11 @@
<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">
<provider selected="true" editor-type-id="text-editor"> <provider selected="true" editor-type-id="text-editor">
<state relative-caret-position="223"> <state relative-caret-position="147">
<caret line="196" column="33" selection-start-line="196" selection-start-column="33" selection-end-line="196" selection-end-column="33" /> <caret line="74" column="46" lean-forward="true" selection-start-line="74" selection-start-column="46" selection-end-line="74" selection-end-column="46" />
<folding> <folding>
<element signature="e#18#46#0" expanded="true" /> <element signature="e#18#46#0" expanded="true" />
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</folding> </folding>
</state> </state>
</provider> </provider>
@@ -191,7 +192,7 @@
<component name="PropertiesComponent"> <component name="PropertiesComponent">
<property name="WebServerToolWindowFactoryState" value="false" /> <property name="WebServerToolWindowFactoryState" value="false" />
<property name="aspect.path.notification.shown" value="true" /> <property name="aspect.path.notification.shown" value="true" />
<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588179385586" /> <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588179551169" />
<property name="go.gopath.indexing.explicitly.defined" value="true" /> <property name="go.gopath.indexing.explicitly.defined" value="true" />
<property name="nodejs_interpreter_path.stuck_in_default_project" value="undefined stuck path" /> <property name="nodejs_interpreter_path.stuck_in_default_project" value="undefined stuck path" />
<property name="nodejs_npm_path_reset_for_default_project" value="true" /> <property name="nodejs_npm_path_reset_for_default_project" value="true" />
@@ -231,15 +232,16 @@
<option name="number" value="Default" /> <option name="number" value="Default" />
<option name="presentableId" value="Default" /> <option name="presentableId" value="Default" />
<updated>1588152877746</updated> <updated>1588152877746</updated>
<workItem from="1588152880522" duration="16135000" /> <workItem from="1588152880522" duration="16466000" />
</task> </task>
<servers /> <servers />
</component> </component>
<component name="TimeTrackingManager"> <component name="TimeTrackingManager">
<option name="totallyTimeSpent" value="16135000" /> <option name="totallyTimeSpent" value="16466000" />
</component> </component>
<component name="ToolWindowManager"> <component name="ToolWindowManager">
<frame x="0" y="0" width="1280" height="800" extended-state="0" /> <frame x="0" y="0" width="1280" height="800" extended-state="0" />
<editor active="true" />
<layout> <layout>
<window_info id="Designer" order="0" /> <window_info id="Designer" order="0" />
<window_info id="UI Designer" order="1" /> <window_info id="UI Designer" order="1" />
@@ -364,11 +366,11 @@
</entry> </entry>
<entry file="file://$PROJECT_DIR$/serve.py"> <entry file="file://$PROJECT_DIR$/serve.py">
<provider selected="true" editor-type-id="text-editor"> <provider selected="true" editor-type-id="text-editor">
<state relative-caret-position="223"> <state relative-caret-position="147">
<caret line="196" column="33" selection-start-line="196" selection-start-column="33" selection-end-line="196" selection-end-column="33" /> <caret line="74" column="46" lean-forward="true" selection-start-line="74" selection-start-column="46" selection-end-line="74" selection-end-column="46" />
<folding> <folding>
<element signature="e#18#46#0" expanded="true" /> <element signature="e#18#46#0" expanded="true" />
<marker date="1588179381860" expanded="true" signature="5469:5743" ph="..." /> <marker date="1588179731968" expanded="true" signature="5391:5665" ph="..." />
</folding> </folding>
</state> </state>
</provider> </provider>

24
serve.py
View File

@@ -72,15 +72,10 @@ class Data:
self.data_num = self.data.shape[0] self.data_num = self.data.shape[0]
self.train_num = int(self.data_num * self.config.train_data_rate) self.train_num = int(self.data_num * self.config.train_data_rate)
print(self.data)
self.mean = np.mean(self.data, axis=0) self.mean = np.mean(self.data, axis=0)
print(1)
self.std = np.std(self.data, axis=0) self.std = np.std(self.data, axis=0)
print(self.std)
print(self.mean)
self.norm_data = (self.data - self.mean) / self.std self.norm_data = (self.data - self.mean) / self.std
print(2)
self.start_num_in_test = 0 self.start_num_in_test = 0
@@ -116,15 +111,26 @@ class Data:
return train_x, valid_x, train_y, valid_y return train_x, valid_x, train_y, valid_y
def get_test_data(self, return_label_data=False): def get_test_data(self, return_label_data=False):
feature_data = self.norm_data[self.train_num:] init_data = pd.read_csv(
self.config.train_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 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[self.start_num_in_test + i * self.config.time_step: self.start_num_in_test + ( test_x = [feature_data[start_num_in_test + i * self.config.time_step: start_num_in_test + (
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 = self.norm_data[self.train_num + self.start_num_in_test:, self.config.label_in_feature_columns] label_data = norm_data[train_num + 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)
@@ -191,7 +197,7 @@ class MyHandler(BaseHTTPRequestHandler):
gpu_model = query.get('gpu_model')[0] gpu_model = query.get('gpu_model')[0]
time = query.get('time')[0] time = query.get('time')[0]
data_gainer = Data(config) data_gainer = Data(config)
test_X, test_Y = np.array([[job, gpu_model, time]]), np.array([[1,1,1]]) #data_gainer.get_test_data(return_label_data=True) test_X, test_Y = data_gainer.get_test_data(return_label_data=True)
print(test_X, test_Y) print(test_X, test_Y)
pred_result = predict(config, test_X) pred_result = predict(config, test_X)
print(pred_result) print(pred_result)