From d500ec5877ebfffd78c8555ce4eae840713b160e Mon Sep 17 00:00:00 2001
From: Newnius <newnius.cn@gmail.com>
Date: Sat, 2 May 2020 09:28:09 +0800
Subject: [PATCH] update

---
 .idea/workspace.xml | 2 +-
 train.py            | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index eb21a92..199c7fb 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -223,7 +223,7 @@
   <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="1588382752025" />
+    <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588382857916" />
     <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" />
diff --git a/train.py b/train.py
index 8b5b777..7a64ced 100644
--- a/train.py
+++ b/train.py
@@ -102,7 +102,7 @@ scaler, train_scaled, test_scaled = scale(train, test)
 lstm_model = fit_lstm(train_scaled, 32, 30, 4)
 # forecast the entire training dataset to build up state for forecasting
 train_reshaped = train_scaled[:, 0].reshape(len(train_scaled), 1, 1)
-lstm_model.predict(train_reshaped, batch_size=1)
+lstm_model.predict(train_reshaped, batch_size=32)
 
 # walk-forward validation on the test data
 predictions = list()