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 09:35:42 +08:00
parent 9a9cbd60ae
commit 50e51a4575
2 changed files with 11 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
.idea/workspace.xml
View File

@ -1,9 +1,7 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ChangeListManager">
<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" />
</list>
<list default="true" id="0aedafd8-e57e-462a-beda-65af0b91f3df" name="Default Changelist" comment="" />
<ignored path="$PROJECT_DIR$/out/" />
<option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
<option name="SHOW_DIALOG" value="false" />
@ -47,7 +45,7 @@
<counts>
<entry key="Dockerfile" value="81" />
<entry key="md" value="104" />
<entry key="py" value="2449" />
<entry key="py" value="2482" />
<entry key="sh" value="5" />
</counts>
</usages-collector>
@ -56,7 +54,7 @@
<entry key="Bash" value="5" />
<entry key="Dockerfile" value="81" />
<entry key="Markdown" value="104" />
<entry key="Python" value="2449" />
<entry key="Python" value="2482" />
</counts>
</usages-collector>
</session>
@ -91,8 +89,8 @@
<file pinned="false" current-in-tab="true">
<entry file="file://$PROJECT_DIR$/train.py">
<provider selected="true" editor-type-id="text-editor">
<state relative-caret-position="257">
<caret line="79" column="38" selection-start-line="79" selection-start-column="28" selection-end-line="79" selection-end-column="38" />
<state relative-caret-position="356">
<caret line="123" column="20" lean-forward="true" selection-start-line="123" selection-start-column="20" selection-end-line="123" selection-end-column="20" />
<folding>
<element signature="e#0#28#0" expanded="true" />
</folding>
@ -223,7 +221,7 @@
<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="1588383148197" />
<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588383279605" />
<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" />
@ -264,12 +262,12 @@
<option name="presentableId" value="Default" />
<updated>1588152877746</updated>
<workItem from="1588152880522" duration="16973000" />
<workItem from="1588319878551" duration="18998000" />
<workItem from="1588319878551" duration="19299000" />
</task>
<servers />
</component>
<component name="TimeTrackingManager">
<option name="totallyTimeSpent" value="35971000" />
<option name="totallyTimeSpent" value="36272000" />
</component>
<component name="ToolWindowManager">
<frame x="0" y="0" width="1280" height="800" extended-state="0" />
@ -395,8 +393,8 @@
</entry>
<entry file="file://$PROJECT_DIR$/train.py">
<provider selected="true" editor-type-id="text-editor">
<state relative-caret-position="257">
<caret line="79" column="38" selection-start-line="79" selection-start-column="28" selection-end-line="79" selection-end-column="38" />
<state relative-caret-position="356">
<caret line="123" column="20" lean-forward="true" selection-start-line="123" selection-start-column="20" selection-end-line="123" selection-end-column="20" />
<folding>
<element signature="e#0#28#0" expanded="true" />
</folding>

2
train.py
View File

@ -76,7 +76,7 @@ def fit_lstm(train, batch_size, nb_epoch, neurons):
# make a one-step forecast
def forecast_lstm(model, batch_size, X):
X = X.reshape(1, 1, len(X))
X = X.reshape(X.shape[0], X.shape[1], len(X))
yhat = model.predict(X, batch_size=batch_size)
return yhat[0, 0]