[MINOR] Update org.template reference to org.example

This closes #437


Project: http://git-wip-us.apache.org/repos/asf/predictionio/repo
Commit: http://git-wip-us.apache.org/repos/asf/predictionio/commit/9c0ca572
Tree: http://git-wip-us.apache.org/repos/asf/predictionio/tree/9c0ca572
Diff: http://git-wip-us.apache.org/repos/asf/predictionio/diff/9c0ca572

Branch: refs/heads/livedoc
Commit: 9c0ca57217356f641a9262908878f15bb297975f
Parents: f61ff9b
Author: Helene Brashear <sillystrin...@gmail.com>
Authored: Thu Mar 1 14:55:27 2018 -0800
Committer: Chan Lee <chanlee...@gmail.com>
Committed: Mon Mar 5 13:10:12 2018 -0800

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 docs/manual/source/demo/textclassification.html.md.erb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)
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http://git-wip-us.apache.org/repos/asf/predictionio/blob/9c0ca572/docs/manual/source/demo/textclassification.html.md.erb
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diff --git a/docs/manual/source/demo/textclassification.html.md.erb 
b/docs/manual/source/demo/textclassification.html.md.erb
index af60cb2..f638a44 100644
--- a/docs/manual/source/demo/textclassification.html.md.erb
+++ b/docs/manual/source/demo/textclassification.html.md.erb
@@ -100,7 +100,7 @@ Make sure the "appName" is same as the app you created in 
step1.
 {
   "id": "default",
   "description": "Default settings",
-  "engineFactory": "org.template.textclassification.TextClassificationEngine",
+  "engineFactory": "org.example.textclassification.TextClassificationEngine",
   "datasource": {
     "params": {
       "appName": "MyTextApp"
@@ -193,7 +193,7 @@ you should see following outputs returned by the engine:
 ### 5.b.Evaluate your training model and tune parameters.
 
 ```
-$ pio eval org.template.textclassification.AccuracyEvaluation 
org.template.textclassification.EngineParamsList
+$ pio eval org.example.textclassification.AccuracyEvaluation 
org.example.textclassification.EngineParamsList
 ```
 
 **Note:** Training and evaluation stages are generally different stages of 
engine development. Evaluation is there to help you choose the best [algorithm 
parameters](/evaluation/paramtuning/) to use for training an engine that is to 
be deployed as a web service.
@@ -582,7 +582,7 @@ To use the alternative multinomial logistic regression 
algorithm change your `en
   {
   "id": "default",
   "description": "Default settings",
-  "engineFactory": "org.template.textclassification.TextClassificationEngine",
+  "engineFactory": "org.example.textclassification.TextClassificationEngine",
   "datasource": {
     "params": {
       "appName": "MyTextApp"
@@ -679,7 +679,7 @@ $ pio build
 **2.a.** Evaluate your training model and tune parameters.
 
 ```
-$ pio eval org.template.textclassification.AccuracyEvaluation 
org.template.textclassification.EngineParamsList
+$ pio eval org.example.textclassification.AccuracyEvaluation 
org.example.textclassification.EngineParamsList
 ```
 
 **2.b.** Train your model and deploy.

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