YAO/YAO-optimizer
1
0
Fork 0
mirror of https://github.com/newnius/YAO-optimizer.git synced 2025-06-06 22:51:55 +00:00
Code Issues Releases Wiki Activity

update

Browse Source
This commit is contained in:
Newnius 2020-05-02 11:14:09 +08:00
parent 106cffc1a3
commit 56c74ab5d3
2 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
.idea/workspace.xml
View File

@ -226,7 +226,7 @@
<component name="PropertiesComponent">
<property name="WebServerToolWindowFactoryState" value="false" />
<property name="aspect.path.notification.shown" value="true" />
<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588388986075" />
<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588389081749" />
<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_npm_path_reset_for_default_project" value="true" />

2
train.py
View File

@ -104,7 +104,7 @@ def experiment(repeats, series, seed):
t2 = test.shape[0] % batch_size
train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :]
lstm_model = fit_lstm(train_trimmed, batch_size, 3000, 4)
lstm_model = fit_lstm(train_trimmed, batch_size, 50, 4)
# forecast the entire training dataset to build up state for forecasting
print(train_trimmed)
print(train_trimmed[:, 0])