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update
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parent
d305fd31f3
commit
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@ -247,7 +247,7 @@
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<component name="PropertiesComponent">
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<component name="PropertiesComponent">
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<property name="WebServerToolWindowFactoryState" value="false" />
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<property name="WebServerToolWindowFactoryState" value="false" />
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<property name="aspect.path.notification.shown" value="true" />
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<property name="aspect.path.notification.shown" value="true" />
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<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588411820165" />
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<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588411975992" />
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<property name="go.gopath.indexing.explicitly.defined" value="true" />
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<property name="go.gopath.indexing.explicitly.defined" value="true" />
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<property name="nodejs_interpreter_path.stuck_in_default_project" value="undefined stuck path" />
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<property name="nodejs_interpreter_path.stuck_in_default_project" value="undefined stuck path" />
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<property name="nodejs_npm_path_reset_for_default_project" value="true" />
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<property name="nodejs_npm_path_reset_for_default_project" value="true" />
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6
serve.py
6
serve.py
@ -145,11 +145,13 @@ def predict(job, seq):
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# transform data to be stationary
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# transform data to be stationary
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raw_values = df.values
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raw_values = df.values
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print(raw_values)
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print(raw_values)
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diff_values = difference(raw_values, 1)[batch_size:]
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diff_values = difference(raw_values, 1)
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print(diff_values)
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# transform data to be supervised learning
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# transform data to be supervised learning
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lag = 4
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lag = 4
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supervised = timeseries_to_supervised(diff_values, lag)
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supervised = timeseries_to_supervised(diff_values, lag)
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supervised_values = supervised.values
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supervised_values = supervised.values[batch_size:]
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test = supervised_values
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test = supervised_values
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print(test)
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print(test)
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