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  class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO 
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id="page-title"><h1>Glossary</h1></div></div><div 
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class="last">Glossary</span></li></ul></div><div 
id="page-title"><h1>Glossary</h1></div></div><div class="content"> 
<p><strong>Data Preparator</strong> - Part of Engine. It reads data from source 
and transforms it to the desired format.</p><p><strong>Data Source</strong> - 
Part of Engine. It preprocesses the data and forward it to the algorithm for 
model training.</p><p><strong>Engine</strong> - An Engine represents a type of 
prediction, e.g. product recommendation. It is comprised of four components: 
[D] Data Source and Data Preparator, [A] Algorithm, [S] Serving, [E] Evaluation 
Metrics.</p><p><strong>EngineClient</strong> - Part of PredictionSDK. It sends 
queries to a deployed engine instance through the Engine API and retrives 
prediction results.</p><p><strong>Event API</strong> - Please see Event 
Server.</p><p><strong>Event Server</strong> -
  Event Server is designed to collect data into PredictionIO in an event-based 
style. Once the Event Server is launched, your application can send data to it 
through its Event API with HTTP requests or with the EventClient of 
PredictionIO&#39;s SDKs.</p><p><strong>EventClient</strong> - Please see Event 
Server.</p><p><strong>Live Evaluation</strong> - Evaluation of prediction 
results in a production environment. Prediction results are shown to real 
users. Users do not rate the results explicitly but the system observes user 
behaviors such as click through rate.</p><p><strong>Offline Evaluation</strong> 
- The prediction results are compared with pre-compiled offline datasets. 
Typically, offline evaluations are meant to identify the most promising 
approaches.</p><p><strong>Test Data</strong> - Also commonly referred as Test 
Set. A set of data used to assess the strength and utility of a predictive 
relationship.</p><p><strong>Training Data</strong> - Also commonly referred as 
Training S
 et. A set of data used to discover potentially predictive relationships. In 
PredictionIO Engine, training data is processed through the Data layer and 
passed onto algorithm.</p></div></div></div></div><footer><div 
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Preparator</span></a></li><li class="level-3"><a class="final" 
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Serving</span></a></li><li class="level-3"><a class="final" 
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with Implicit Preference</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/blacklist-items/"><span>Filter Recommended 
Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" 
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Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" 
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Start</span></a></li><li class="level-3"><a class="final" 
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class="level-3"><a class="final" 
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 class="level-3"><a class="final" 
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with Rate Event</span></a></li><li class="level-3"><a class="final" 
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Score</span></a></li></ul></li><li class="level-2"><a class="expandible" 
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 mplates/similarproduct/how-to/"><span>How-To</span></a></li><li 
class="level-3"><a class="final" 
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Events and Multiple Algorithms</span></a></li><li class="level-3"><a 
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Properties</span></a></li><li class="level-3"><a class="final" 
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Event</span></a></li><li class="level-3"><a class="final" 
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for Users</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/recommended-user/"><span>Recommend 
Users</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>Classification</span></a><ul><li class="level-3"><a 
class="final" href="/templates/classification/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="
 final" href="/templates/classification/dase/"><span>DASE</span></a></li><li 
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class="level-3"><a class="final" 
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Algorithm</span></a></li><li class="level-3"><a class="final" 
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Properties</span></a></li></ul></li></ul></li><li class="level-1"><a 
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 ><ul><li class="level-2"><a class="final" 
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 >class="final" href="/support/"><span>Support</span></a></li></ul></li><li 
 >class="level-1"><a class="expandible" 
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 >href="/cli/"><span>Command-line Interface</span></a></li><li 
 >class="level-2"><a class="final" href="/resources/release/"><span>Release 
 >Cadence</span></a></li><li class="level-2"><a class="final active" 
 >href="/resources/intellij/"><span>Developing Engines with IntelliJ 
 >IDEA</span></a></li><li class="level-2"><a class="final" 
 >href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li 
 >class="level-2"><a class="final" 
 >href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li 
 >class="level-1"><a class="expandible" href="#"><span>Apache Software 
 >Foundation</span></a><ul><li class="level-2"><a class="final" 
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hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a 
href="#">Resources</a><span class="spacer">&gt;</span></li><li><span 
class="last">Developing Engines with IntelliJ IDEA</span></li></ul></div><div 
id="page-title"><h1>Developing Engines with IntelliJ IDEA</h1></div></div><div 
id="table-of-content-wrapper"><h5>On this page</h5><aside 
id="table-of-contents"><ul> <li> <a href="#prerequisites">Prerequisites</a> </
 li> <li> <a href="#preparing-intellij-for-engine-development">Preparing 
IntelliJ for Engine Development</a> </li> <li> <a 
href="#running-and-debugging-in-intellij-idea">Running and Debugging in 
IntelliJ IDEA</a> </li> <li> <a 
href="#loading-a-template-into-intellij-idea">Loading a Template Into Intellij 
IDEA</a> </li> </ul> </aside><hr/><a id="edit-page-link" 
href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/resources/intellij.html.md.erb";><img
 src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div 
class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" 
class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span 
class="spacer">&gt;</span></li><li><span class="last">Developing Engines with 
IntelliJ IDEA</span></li></ul></div><div id="page-title"><h1>Developing Engines 
with IntelliJ IDEA</h1></div></div><div class="content"> <h2 id='prerequisites' 
class='header-anchors'>Prerequisites</h2><p>This documentation ass
 umes that you have a fully functional PredictionIO setup. If you have not 
installed PredictionIO yet, please follow <a href="/install/">these 
instructions</a>.</p><h2 id='preparing-intellij-for-engine-development' 
class='header-anchors'>Preparing IntelliJ for Engine Development</h2><h3 
id='installing-intellij-scala-plugin' class='header-anchors'>Installing 
IntelliJ Scala Plugin</h3><p>First of all, you will need to install the <a 
href="https://plugins.jetbrains.com/plugin/?id=1347";>Scala plugin</a> if you 
have not already done so.</p><p>Go to the <em>Preferences</em> menu item, and 
look for <em>Plugins</em>. You should see the following screen.</p><p><img 
alt="IntelliJ Plugins" 
src="/images/intellij/intelliJ-scala-plugin-09ee074a.png"/></p><p>Click 
<em>Install JetBrains plugin...</em>, the search for <em>Scala</em>. You should 
arrive at something similar to the following.</p><p><img alt="Scala Plugin" 
src="/images/intellij/intellij-scala-plugin-2-592c697f.png"/></p><p>Click the 
gree
 n <em>Install plugin</em> button to install the plugin. Restart IntelliJ IDEA 
if asked to do so.</p><h3 id='setting-up-the-engine-directory' 
class='header-anchors'>Setting Up the Engine Directory</h3><div 
class="alert-message info"><p>It is very important to run at least <code>pio 
build</code> once in your engine directory so that the project correctly 
recognizes the version of PredictionIO that you are using. If you upgraded your 
PredictionIO installation later, you will need to run <code>pio build</code> 
again in order for the engine to pick up the latest version of 
PredictionIO.</p></div><p>Create an engine directory from a template. This 
requires that you install a template that you wish to start from or modify. 
Follow template <a href="/start/download">install</a> and <a 
href="/start/deploy">deploy</a> instructions or go through the <a 
href="/templates/recommendation/quickstart/">Quick Start</a> if you are 
planning to modify a recommender. Make sure to build, train, and deploy 
 the engine to make sure all is configured properly.</p><p>From IntelliJ IDEA, 
choose <em>File</em> &gt; <em>New</em> &gt; <em>Project from Existing 
Sources...</em>. When asked to select a directory to import, browse to the 
engine directory that you downloaded too and proceed. Make sure you pick 
<em>Import project from external model</em> &gt; <em>SBT</em>, then proceed to 
finish.</p><p>You should be able to build the project at this point. To run and 
debug PredictionIO server, continue on to the rest of the steps.</p><div 
class="alert-message info"><p>If you are running on OS X, you will need to do 
the following due to this <a href="http://bit.ly/12Abtvn";>known 
issue</a>.</p></div><p>Edit <code>build.sbt</code> and add the following under 
<code>libraryDependencies</code></p><div class="highlight shell"><table 
style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: 
right"><pre class="lineno">1</pre></td><td class="code"><pre><span 
class="s2">"org.xerial.snappy"<
 /span> % <span class="s2">"snappy-java"</span> % <span 
class="s2">"1.1.1.7"</span>
+</pre></td></tr></tbody></table> </div> <p><img alt="Updating build.sbt" 
src="/images/intellij/intellij-buildsbt-05cfd141.png"/></p><p>When you are done 
editing, IntelliJ should either refresh the project automatically or prompt you 
to refresh.</p><h3 id='dependencies' 
class='header-anchors'>Dependencies</h3><p>IntelliJ has the annoying tendency 
to drop some dependencies when you refresh your build.sbt after any changes. To 
avoid this we put any jars that must be available at runtime into a separate 
empty module in the project then we make the main engine project depend on this 
dummy module for runtime classes.</p><p>Right click on the project and click 
<em>Open Module Settings</em>. In the second modules column hit 
<strong>+</strong> and create a new Scala module. Name it pio-runtime-jars and 
add these assemblies under the module dependencies tab and remember to change 
the scope of the jars to <strong>runtime</strong>:</p> <ul> <li><p> 
<code>pio-assembly-0.12.0-incubating.jar</code
 ></p><p>This JAR can be found inside the <code>assembly</code> or 
 ><code>lib</code> directory of your PredictionIO installation 
 >directory.</p></li> <li><p> 
 ><code>spark-assembly-2.1.1-hadoop2.4.0.jar</code></p><p>This JAR can be found 
 >inside the <code>assembly</code> or <code>lib</code> directory of your Apache 
 >Spark installation directory.</p></li> </ul> <p><img alt="Create empty module 
 >and add dependencies" 
 >src="/images/intellij/pio-runtime-jar-deps-3f3c99d9.png"/></p><p>Now make 
 >your engine module dependent on the pio-runtime-jars module for scope = 
 >runtime.</p><p><img alt="Create empty module and add dependencies" 
 >src="/images/intellij/pio-runtime-jars-266e8c1b.png"/></p><h2 
 >id='running-and-debugging-in-intellij-idea' class='header-anchors'>Running 
 >and Debugging in IntelliJ IDEA</h2><h3 id='simulating-<code>pio-train</code>' 
 >class='header-anchors' >Simulating <code>pio train</code></h3><p>Create a new 
 ><em>Run/Debug Configuration</em> by going to <em>Run</em> &gt; <em>Edit 
 >Configur
 ations...</em>. Click on the <strong>+</strong> button and select 
<em>Application</em>. Name it <code>pio train</code> and put in the 
following.</p><div class="highlight shell"><table style="border-spacing: 
0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre 
class="lineno">1
+2
+3</pre></td><td class="code"><pre>Main class: 
org.apache.predictionio.workflow.CreateWorkflow
+VM options: -Dspark.master<span class="o">=</span><span 
class="nb">local</span> -Dlog4j.configuration<span 
class="o">=</span>file:/<span 
class="k">**</span>replace_with_your_PredictionIO_path<span 
class="k">**</span>/conf/log4j.properties
+Program arguments: --engine-id dummy --engine-version dummy --engine-variant 
engine.json
+</pre></td></tr></tbody></table> </div> <p>Click the <strong>...</strong> 
button to the right of <em>Environment variables</em>, and paste the 
following.</p><div class="highlight shell"><table style="border-spacing: 
0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre 
class="lineno">1
+2
+3
+4
+5
+6
+7
+8
+9
+10
+11
+12
+13
+14
+15
+16
+17
+18
+19
+20
+21</pre></td><td class="code"><pre><span class="nv">SPARK_HOME</span><span 
class="o">=</span>/<span 
class="k">**</span>reaplce_w_your_spark_binary_path<span class="k">**</span>
+<span class="nv">PIO_FS_BASEDIR</span><span class="o">=</span>/<span 
class="k">**</span>replace_w_your_path_to<span class="k">**</span>/.pio_store
+<span class="nv">PIO_FS_ENGINESDIR</span><span class="o">=</span>/<span 
class="k">**</span>replace_w_your_path_to<span 
class="k">**</span>/.pio_store/engines
+<span class="nv">PIO_FS_TMPDIR</span><span class="o">=</span>/<span 
class="k">**</span>replace_w_your_path_to<span class="k">*</span>/.pio_store/tmp
+<span class="nv">PIO_STORAGE_REPOSITORIES_METADATA_NAME</span><span 
class="o">=</span>predictionio_metadata
+<span class="nv">PIO_STORAGE_REPOSITORIES_METADATA_SOURCE</span><span 
class="o">=</span>ELASTICSEARCH
+<span class="nv">PIO_STORAGE_REPOSITORIES_MODELDATA_NAME</span><span 
class="o">=</span>pio_
+<span class="nv">PIO_STORAGE_REPOSITORIES_MODELDATA_SOURCE</span><span 
class="o">=</span>LOCALFS
+<span class="nv">PIO_STORAGE_REPOSITORIES_APPDATA_NAME</span><span 
class="o">=</span>predictionio_appdata
+<span class="nv">PIO_STORAGE_REPOSITORIES_APPDATA_SOURCE</span><span 
class="o">=</span>ELASTICSEARCH
+<span class="nv">PIO_STORAGE_REPOSITORIES_EVENTDATA_NAME</span><span 
class="o">=</span>predictionio_eventdata
+<span class="nv">PIO_STORAGE_REPOSITORIES_EVENTDATA_SOURCE</span><span 
class="o">=</span>HBASE
+<span class="nv">PIO_STORAGE_SOURCES_ELASTICSEARCH_TYPE</span><span 
class="o">=</span>elasticsearch
+<span class="nv">PIO_STORAGE_SOURCES_ELASTICSEARCH_HOSTS</span><span 
class="o">=</span>localhost
+<span class="nv">PIO_STORAGE_SOURCES_ELASTICSEARCH_PORTS</span><span 
class="o">=</span>9300
+<span class="nv">PIO_STORAGE_SOURCES_LOCALFS_TYPE</span><span 
class="o">=</span>localfs
+<span class="nv">PIO_STORAGE_SOURCES_LOCALFS_HOSTS</span><span 
class="o">=</span>/<span class="k">**</span>replace_w_your_path_to<span 
class="k">**</span>/.pio_store/models
+<span class="nv">PIO_STORAGE_SOURCES_LOCALFS_PORTS</span><span 
class="o">=</span>0
+<span class="nv">PIO_STORAGE_SOURCES_HBASE_TYPE</span><span 
class="o">=</span>hbase
+<span class="nv">PIO_STORAGE_SOURCES_HBASE_HOSTS</span><span 
class="o">=</span>0
+<span class="nv">PIO_STORAGE_SOURCES_HBASE_PORTS</span><span 
class="o">=</span>0
+</pre></td></tr></tbody></table> </div> <div class="alert-message 
info"><p>Remember to replace all paths that start with <code>**replace</code> 
with actual values. The directory <code>.pio_store</code> typically locates 
inside your home directory.</p></div><p>The end result should look something 
similar to this.</p><p><img alt="Run Configuration" 
src="/images/intellij/intellij-config-48c05039.png"/></p><p>Save and you can 
run or debug <code>pio train</code> with the new configuration!</p><h3 
id='simulating-<code>pio-deploy</code>' class='header-anchors' >Simulating 
<code>pio deploy</code></h3><p>For <code>pio deploy</code>, simply duplicate 
the previous configuration and replace with the following.</p><div 
class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td 
class="gutter gl" style="text-align: right"><pre class="lineno">1
+2</pre></td><td class="code"><pre>Main class: 
org.apache.predictionio.workflow.CreateServer
+Program Arguments: --engineInstanceId <span 
class="k">**</span>replace_with_the_id_from_pio_train<span class="k">**</span>
+</pre></td></tr></tbody></table> </div> <h3 id='executing-a-query' 
class='header-anchors'>Executing a Query</h3><p>You can execute a query with 
the correct SDK. For a recommender that has been trained with the sample 
MovieLens dataset perhaps the easiest query is a curl one. Start by running or 
debuging your <code>deploy</code> config so the service is waiting for the 
query. Then go to the &quot;Terminal&quot; tab at the very bottom of the IDEA 
window and enter the curl request:</p><p><code>$ curl -H &quot;Content-Type: 
application/json&quot; -d &#39;{ &quot;user&quot;: &quot;1&quot;, 
&quot;num&quot;: 4 }&#39; http://localhost:8000/queries.json</code></p><p>This 
should return something like:</p><div class="highlight shell"><table 
style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: 
right"><pre class="lineno">1
+2
+3
+4
+5
+6</pre></td><td class="code"><pre><span class="o">{</span><span 
class="s2">"itemScores"</span>:[
+  <span class="o">{</span><span class="s2">"item"</span>:<span 
class="s2">"52"</span>,<span class="s2">"score"</span>:9.582509402541834<span 
class="o">}</span>,
+  <span class="o">{</span><span class="s2">"item"</span>:<span 
class="s2">"95"</span>,<span class="s2">"score"</span>:8.017236650368387<span 
class="o">}</span>,
+  <span class="o">{</span><span class="s2">"item"</span>:<span 
class="s2">"89"</span>,<span class="s2">"score"</span>:6.975951244053634<span 
class="o">}</span>,
+  <span class="o">{</span><span class="s2">"item"</span>:<span 
class="s2">"34"</span>,<span class="s2">"score"</span>:6.857457277981334<span 
class="o">}</span>
+<span class="o">]}</span>
+</pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>If 
you hit a breakpoint you are likely to get a connection timeout. To see the 
data that would have been returned, just place a breakpoint where the response 
is created or run the query with no breakpoints.</p></div><h2 
id='loading-a-template-into-intellij-idea' class='header-anchors'>Loading a 
Template Into Intellij IDEA</h2><p>To customize an existing <a 
href="/gallery/template-gallery">template</a> using Intellij IDEA, first pull 
it from the template gallery:</p><div class="highlight shell"><table 
style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: 
right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ 
</span>git clone &lt;Template Source&gt; &lt;New Engine Directory&gt;
+</pre></td></tr></tbody></table> </div> <p>Now, before opening the template 
with Intellij, run the following command in the new engine template 
directory</p><div class="highlight shell"><table style="border-spacing: 
0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre 
class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio 
build
+</pre></td></tr></tbody></table> </div> <p>This should update the pioVersion 
key in SBT to the version of PredictionIO you have installed, so that Intellij 
loads the correct JARS via its Auto-Import feature. Now, you can go ahead and 
open the file <code>build.sbt</code> with Intellij IDEA. You are now ready to 
<a href="/customize/">customize</a> your new engine 
template.</p></div></div></div></div><footer><div class="container"><div 
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PredictionIO is an effort undergoing incubation at The Apache Software 
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the infrastructure, communications, and decision making process have stabilized 
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+<!DOCTYPE html><html><head><title>Release Cadence</title><meta 
charset="utf-8"/><meta content="IE=edge,chrome=1" 
http-equiv="X-UA-Compatible"/><meta name="viewport" 
content="width=device-width, initial-scale=1.0"/><meta class="swiftype" 
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true });}catch(e){}</script></head><body><div id="global"><header><div 
class="container" id="header-wrapper"><div class="row"><div 
class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a 
href="#"></a><a href="http://predictionio.incubator.apache.org/";><img 
alt="PredictionIO" id="logo" 
src="/images/logos/logo-ee2b9bb3.png"/></a></div><div id="menu-wrapper"><div 
id="pill-wrapper"><a class="pill left" 
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href="//github.com/apache/incubator-predictionio/">OPEN 
SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md 
hidden-lg" 
src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div 
id="search-bar-row-wrapper"><div class="container-fluid" 
id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 
col-xs-11"><div class="hidden-m
 d hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO 
Docs</p><h4>Release Cadence</h4></div><h4 class="hidden-sm 
hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 
hidden-md hidden-lg"><img id="left-menu-indicator" 
src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 
col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form 
class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" 
src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img 
src="/images/icons/search-glass-704bd4ff.png"/><input type="text" 
id="st-search-input" class="st-search-input" placeholder="Search 
Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" 
src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div 
class="mobile-left-menu-toggler hidden-md 
hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div 
class="row"><div id="left-menu-wrapper" class="col-md-3"><nav i
 d="nav-main"><ul><li class="level-1"><a class="expandible" 
href="/"><span>Apache PredictionIO (incubating) Documentation</span></a><ul><li 
class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO 
(incubating)</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Getting Started</span></a><ul><li class="level-2"><a 
class="final" href="/start/"><span>A Quick Intro</span></a></li><li 
class="level-2"><a class="final" href="/install/"><span>Installing Apache 
PredictionIO (incubating)</span></a></li><li class="level-2"><a class="final" 
href="/start/download/"><span>Downloading an Engine Template</span></a></li><li 
class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your 
First Engine</span></a></li><li class="level-2"><a class="final" 
href="/start/customize/"><span>Customizing the 
Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Integrating with Your App</span></a><ul><li class="lev
 el-2"><a class="final" href="/appintegration/"><span>App Integration 
Overview</span></a></li><li class="level-2"><a class="expandible" 
href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a 
class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li 
class="level-3"><a class="final" href="/sdk/php/"><span>PHP 
SDK</span></a></li><li class="level-3"><a class="final" 
href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a 
class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li 
class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered 
SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a 
class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li 
class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web 
Service</span></a></li><li class="level-2"><a class="final" 
href="/batchpredict/"><span>Batch Predictions</span></a></li><li 
class="level-2"><a class="final" href="/deploy
 /monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a 
class="final" href="/deploy/engineparams/"><span>Setting Engine 
Parameters</span></a></li><li class="level-2"><a class="final" 
href="/deploy/enginevariants/"><span>Deploying Multiple Engine 
Variants</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a 
class="final" href="/customize/"><span>Learning DASE</span></a></li><li 
class="level-2"><a class="final" href="/customize/dase/"><span>Implement 
DASE</span></a></li><li class="level-2"><a class="final" 
href="/customize/troubleshooting/"><span>Troubleshooting Engine 
Development</span></a></li><li class="level-2"><a class="final" 
href="/api/current/#package"><span>Engine Scala 
APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Collecting and Analyzing Data</span></a><ul><li 
class="level-2"><a class="final" href="/datacollection/"><span>Event
  Server Overview</span></a></li><li class="level-2"><a class="final" 
href="/datacollection/eventapi/"><span>Collecting Data with 
REST/SDKs</span></a></li><li class="level-2"><a class="final" 
href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li 
class="level-2"><a class="final" 
href="/datacollection/webhooks/"><span>Unifying Multichannel Data with 
Webhooks</span></a></li><li class="level-2"><a class="final" 
href="/datacollection/channel/"><span>Channel</span></a></li><li 
class="level-2"><a class="final" 
href="/datacollection/batchimport/"><span>Importing Data in 
Batch</span></a></li><li class="level-2"><a class="final" 
href="/datacollection/analytics/"><span>Using Analytics 
Tools</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Choosing an Algorithm(s)</span></a><ul><li class="level-2"><a 
class="final" href="/algorithm/"><span>Built-in Algorithm 
Libraries</span></a></li><li class="level-2"><a class="final" 
href="/algorithm/switch
 /"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a 
class="final" href="/algorithm/multiple/"><span>Combining Multiple 
Algorithms</span></a></li><li class="level-2"><a class="final" 
href="/algorithm/custom/"><span>Adding Your Own 
Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>ML Tuning and Evaluation</span></a><ul><li class="level-2"><a 
class="final" href="/evaluation/"><span>Overview</span></a></li><li 
class="level-2"><a class="final" 
href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li 
class="level-2"><a class="final" 
href="/evaluation/evaluationdashboard/"><span>Evaluation 
Dashboard</span></a></li><li class="level-2"><a class="final" 
href="/evaluation/metricchoose/"><span>Choosing Evaluation 
Metrics</span></a></li><li class="level-2"><a class="final" 
href="/evaluation/metricbuild/"><span>Building Evaluation 
Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" hr
 ef="#"><span>System Architecture</span></a><ul><li class="level-2"><a 
class="final" href="/system/"><span>Architecture Overview</span></a></li><li 
class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using 
Another Data Store</span></a></li></ul></li><li class="level-1"><a 
class="expandible" href="#"><span>PredictionIO Official 
Templates</span></a><ul><li class="level-2"><a class="final" 
href="/templates/"><span>Intro</span></a></li><li class="level-2"><a 
class="expandible" href="#"><span>Recommendation</span></a><ul><li 
class="level-3"><a class="final" 
href="/templates/recommendation/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/recommendation/evaluation/"><span>Evaluation 
Explained</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class
 ="level-3"><a class="final" 
href="/templates/recommendation/reading-custom-events/"><span>Read Custom 
Events</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/customize-data-prep/"><span>Customize Data 
Preparator</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/customize-serving/"><span>Customize 
Serving</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/training-with-implicit-preference/"><span>Train 
with Implicit Preference</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/blacklist-items/"><span>Filter Recommended 
Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable 
Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a 
class="final" href="/template
 s/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li
 class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train 
with Rate Event</span></a></li><li class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust 
Score</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>Similar Product</span></a><ul><li class="level-3"><a 
class="final" href="/templates/similarproduct/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li cla
 ss="level-3"><a class="final" 
href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple 
Events and Multiple Algorithms</span></a></li><li class="level-3"><a 
class="final" 
href="/templates/similarproduct/return-item-properties/"><span>Returns Item 
Properties</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate 
Event</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events 
for Users</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/recommended-user/"><span>Recommend 
Users</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>Classification</span></a><ul><li class="level-3"><a 
class="final" href="/templates/classification/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="final" 
href="/templates/classification/dase/"><span>DASE</span></a>
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