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Code Issues Releases Wiki Activity

update

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Newnius
2020-05-02 10:27:40 +08:00
parent 157492f971
commit e7652959af
2 changed files with 4 additions and 6 deletions
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2
.idea/workspace.xml generated
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@@ -225,7 +225,7 @@
<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="1588386264613" /> <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588386307951" />
<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" />

8
train.py
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@@ -100,12 +100,10 @@ def experiment(repeats, series, seed):
for r in range(repeats): for r in range(repeats):
# fit the model # fit the model
batch_size = 4 batch_size = 4
t = train.shape[0] % batch_size t1 = train.shape[0] % batch_size
train = train[train.shape[0] - t * batch_size:] t2 = test.shape[0] % batch_size
t = test.shape[0] % batch_size
test = test[test.shape[0] - t * batch_size:]
train_trimmed = train_scaled[2:, :] train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :]
lstm_model = fit_lstm(train_trimmed, batch_size, 30, 4) lstm_model = fit_lstm(train_trimmed, batch_size, 30, 4)
# forecast the entire training dataset to build up state for forecasting # forecast the entire training dataset to build up state for forecasting
if seed: if seed: