From dcc7664f85e66b6ec01553df27bd8314c37ddf1e Mon Sep 17 00:00:00 2001
From: Newnius <newnius.cn@gmail.com>
Date: Sat, 2 May 2020 09:21:56 +0800
Subject: [PATCH] update

---
 .idea/workspace.xml | 24 ++++++++++++------------
 train.py            |  7 +------
 2 files changed, 13 insertions(+), 18 deletions(-)

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 38fa7ac..d0e9441 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -2,7 +2,7 @@
 <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" />
+      <change beforePath="$PROJECT_DIR$/train.py" beforeDir="false" afterPath="$PROJECT_DIR$/train.py" afterDir="false" />
     </list>
     <ignored path="$PROJECT_DIR$/out/" />
     <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
@@ -47,7 +47,7 @@
         <counts>
           <entry key="Dockerfile" value="81" />
           <entry key="md" value="104" />
-          <entry key="py" value="2437" />
+          <entry key="py" value="2443" />
           <entry key="sh" value="5" />
         </counts>
       </usages-collector>
@@ -56,7 +56,7 @@
           <entry key="Bash" value="5" />
           <entry key="Dockerfile" value="81" />
           <entry key="Markdown" value="104" />
-          <entry key="Python" value="2437" />
+          <entry key="Python" value="2443" />
         </counts>
       </usages-collector>
     </session>
@@ -91,8 +91,8 @@
       <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="110">
-              <caret line="20" column="42" lean-forward="true" selection-start-line="20" selection-start-column="42" selection-end-line="20" selection-end-column="42" />
+            <state relative-caret-position="192">
+              <caret line="115" column="23" selection-start-line="115" selection-start-column="23" selection-end-line="115" selection-end-column="23" />
               <folding>
                 <element signature="e#0#28#0" expanded="true" />
               </folding>
@@ -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="1588380374547" />
+    <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588382367607" />
     <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 +264,12 @@
       <option name="presentableId" value="Default" />
       <updated>1588152877746</updated>
       <workItem from="1588152880522" duration="16973000" />
-      <workItem from="1588319878551" duration="17012000" />
+      <workItem from="1588319878551" duration="18473000" />
     </task>
     <servers />
   </component>
   <component name="TimeTrackingManager">
-    <option name="totallyTimeSpent" value="33985000" />
+    <option name="totallyTimeSpent" value="35446000" />
   </component>
   <component name="ToolWindowManager">
     <frame x="0" y="0" width="1280" height="800" extended-state="0" />
@@ -280,10 +280,10 @@
       <window_info id="Capture Tool" order="2" />
       <window_info id="Favorites" order="3" side_tool="true" />
       <window_info id="Image Layers" order="4" />
-      <window_info content_ui="combo" id="Project" order="5" sideWeight="0.49898168" visible="true" weight="0.2536349" />
+      <window_info active="true" content_ui="combo" id="Project" order="5" sideWeight="0.49898168" visible="true" weight="0.2536349" />
       <window_info id="Structure" order="6" sideWeight="0.50101835" side_tool="true" weight="0.24959612" />
       <window_info anchor="bottom" id="Version Control" order="0" />
-      <window_info active="true" anchor="bottom" id="Terminal" order="1" visible="true" weight="0.32739726" />
+      <window_info anchor="bottom" id="Terminal" order="1" visible="true" weight="0.32739726" />
       <window_info anchor="bottom" id="Event Log" order="2" side_tool="true" />
       <window_info anchor="bottom" id="Database Changes" order="3" show_stripe_button="false" />
       <window_info anchor="bottom" id="Docker" order="4" show_stripe_button="false" />
@@ -395,8 +395,8 @@
     </entry>
     <entry file="file://$PROJECT_DIR$/train.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="110">
-          <caret line="20" column="42" lean-forward="true" selection-start-line="20" selection-start-column="42" selection-end-line="20" selection-end-column="42" />
+        <state relative-caret-position="192">
+          <caret line="115" column="23" selection-start-line="115" selection-start-column="23" selection-end-line="115" selection-end-column="23" />
           <folding>
             <element signature="e#0#28#0" expanded="true" />
           </folding>
diff --git a/train.py b/train.py
index 9f63cf8..ab46c90 100644
--- a/train.py
+++ b/train.py
@@ -12,11 +12,6 @@ from math import sqrt
 import numpy
 
 
-# date-time parsing function for loading the dataset
-def parser(x):
-	return datetime.strptime('190' + x, '%Y-%m')
-
-
 # frame a sequence as a supervised learning problem
 def timeseries_to_supervised(data, lag=1):
 	df = DataFrame(data)
@@ -104,7 +99,7 @@ train, test = supervised_values[0:-12], supervised_values[-12:]
 scaler, train_scaled, test_scaled = scale(train, test)
 
 # fit the model
-lstm_model = fit_lstm(train_scaled, 1, 30, 4)
+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)