mirror of
https://github.com/newnius/YAO-optimizer.git
synced 2025-06-06 22:51:55 +00:00
update
This commit is contained in:
parent
f8be5dfb4b
commit
2015832eb0
@ -248,7 +248,7 @@
|
|||||||
<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="1588412534097" />
|
<property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588412586798" />
|
||||||
<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" />
|
||||||
|
3
serve.py
3
serve.py
@ -95,6 +95,7 @@ def train_models(job):
|
|||||||
supervised = timeseries_to_supervised(diff_values, lag)
|
supervised = timeseries_to_supervised(diff_values, lag)
|
||||||
print(supervised)
|
print(supervised)
|
||||||
supervised_values = supervised.values
|
supervised_values = supervised.values
|
||||||
|
print(supervised_values)
|
||||||
|
|
||||||
batch_size = 32
|
batch_size = 32
|
||||||
if supervised_values.shape[0] < 100:
|
if supervised_values.shape[0] < 100:
|
||||||
@ -155,7 +156,7 @@ def predict(job, seq):
|
|||||||
print(type(supervised))
|
print(type(supervised))
|
||||||
print(supervised)
|
print(supervised)
|
||||||
supervised_values = supervised[batch_size:]
|
supervised_values = supervised[batch_size:]
|
||||||
|
print(supervised_values)
|
||||||
test = supervised_values.values
|
test = supervised_values.values
|
||||||
print(test)
|
print(test)
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user