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Code Issues Releases Wiki Activity

update

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Newnius 2020-05-01 17:56:52 +08:00
parent 8aa9ed15d0
commit 91bffbaa53
2 changed files with 2 additions and 5 deletions
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2
.idea/workspace.xml
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@ -214,7 +214,7 @@
<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="1588326889173" /> <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588326893506" />
<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" />

5
serve.py
View File

@ -213,15 +213,12 @@ class MyHandler(BaseHTTPRequestHandler):
df = pd.read_csv(config.train_data_path, df = pd.read_csv(config.train_data_path,
usecols=['job', 'model', 'time', 'utilCPU', 'utilGPU', 'pre', 'main', 'post']) usecols=['job', 'model', 'time', 'utilCPU', 'utilGPU', 'pre', 'main', 'post'])
df = df.tail(config.time_step - 1) df = df.tail(config.time_step - 1)
print(df)
df = df.append(data, ignore_index=True) df = df.append(data, ignore_index=True)
df.to_csv('./data/test_data.csv', index=False) df.to_csv('./data/test_data.csv', index=False)
print(df)
np.random.seed(config.random_seed) np.random.seed(config.random_seed)
data_gainer = Data(config) data_gainer = Data(config)
test_data_yqy = pd.read_csv("./data/test_data.csv", usecols=config.feature_and_label_columns) test_data_yqy = pd.read_csv("./data/test_data.csv", usecols=list(range(0, 8)))
test_data_values = test_data_yqy.values[:] test_data_values = test_data_yqy.values[:]
test_X = data_gainer.get_test_data_yqy(test_data_values) test_X = data_gainer.get_test_data_yqy(test_data_values)
pred_result = predict(config, test_X) pred_result = predict(config, test_X)