diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 030e251..4188cc3 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -48,7 +48,7 @@
         <counts>
           <entry key="Dockerfile" value="81" />
           <entry key="md" value="104" />
-          <entry key="py" value="2658" />
+          <entry key="py" value="2696" />
           <entry key="sh" value="5" />
         </counts>
       </usages-collector>
@@ -57,7 +57,7 @@
           <entry key="Bash" value="5" />
           <entry key="Dockerfile" value="81" />
           <entry key="Markdown" value="104" />
-          <entry key="Python" value="2658" />
+          <entry key="Python" value="2696" />
         </counts>
       </usages-collector>
     </session>
@@ -92,8 +92,8 @@
       <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="157">
-              <caret line="88" column="56" selection-start-line="88" selection-start-column="56" selection-end-line="88" selection-end-column="56" />
+            <state relative-caret-position="130">
+              <caret line="96" column="21" selection-start-line="96" selection-start-column="21" selection-end-line="96" selection-end-column="21" />
               <folding>
                 <element signature="e#0#28#0" expanded="true" />
               </folding>
@@ -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="1588387836932" />
+    <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588387966642" />
     <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" />
@@ -267,12 +267,12 @@
       <option name="presentableId" value="Default" />
       <updated>1588152877746</updated>
       <workItem from="1588152880522" duration="16973000" />
-      <workItem from="1588319878551" duration="22166000" />
+      <workItem from="1588319878551" duration="22412000" />
     </task>
     <servers />
   </component>
   <component name="TimeTrackingManager">
-    <option name="totallyTimeSpent" value="39139000" />
+    <option name="totallyTimeSpent" value="39385000" />
   </component>
   <component name="ToolWindowManager">
     <frame x="0" y="0" width="1280" height="800" extended-state="0" />
@@ -397,8 +397,8 @@
     </entry>
     <entry file="file://$PROJECT_DIR$/train.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="157">
-          <caret line="88" column="56" selection-start-line="88" selection-start-column="56" selection-end-line="88" selection-end-column="56" />
+        <state relative-caret-position="130">
+          <caret line="96" column="21" selection-start-line="96" selection-start-column="21" selection-end-line="96" selection-end-column="21" />
           <folding>
             <element signature="e#0#28#0" expanded="true" />
           </folding>
diff --git a/train.py b/train.py
index e144d98..0142524 100644
--- a/train.py
+++ b/train.py
@@ -106,8 +106,11 @@ def experiment(repeats, series, seed):
 		train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :]
 		lstm_model = fit_lstm(train_trimmed, batch_size, 30, 4)
 		# forecast the entire training dataset to build up state for forecasting
+		print(train_trimmed)
+		print(train_trimmed[:, 0])
+		print(train_trimmed[:, :])
 		if seed:
-			train_reshaped = train_trimmed[:, 0].reshape(len(train_trimmed), 1, lag2)
+			train_reshaped = train_trimmed[:, :].reshape(len(train_trimmed), 1, lag2)
 			lstm_model.predict(train_reshaped, batch_size=batch_size)
 		# forecast test dataset
 		test_reshaped = test_scaled[:, 0:-1]