<!DOCTYPE html><html><head><title>Quick Start - Recommendation Engine Template</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" name="title" data-type="string" content="Quick Start - Recommendation Engine Template"/><link rel="canonical" href="https://docs.prediction.io/templates/recommendation/quickstart/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-3598c7d7.css" rel="stylesheet" type="text/css"/><script 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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="level-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="/cli/#engine-commands"><span>Engine Command-line Interface</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="/cli/#event-server-commands"><span>Event Server Command-line Interface</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" href="#"><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>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="http://templates.prediction.io"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Community Support</span></a></li><li class="level-2"><a class="final" href="/support/#enterprise-support"><span>Enterprise Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" 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></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="page-title"><h1>Quick Start - Recommendation Engine Template</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#overview">Overview</a> </li> <li> <a href="#usage">Usage</a> </li> <li> <a href="#1-install-and-run-predictionio">1. Install and Run PredictionIO</a> </li> <li> <a href="#2-create-a-new-engine-from-an-engine-template">2. Create a new Engine from an Engine Template</a> </li> <li> <a href="#3-generate-an-app-id-and-access-key">3. Generate an App ID and Access Key</a> </li> <li> <a href="#4-collecting-data">4. Collecting Data</a> </li> <li> <a href="#5-deploy-the-engine-as-a-service">5. Deploy the Engine as a Service</a> </li> <li> <a href="#6-use-the-engine">6. Use the Engine</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/templates/recommendation/quickstart.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="page-title"><h1>Quick Start - Recommendation Engine Template</h1></div></div><div class="content"><h2 id='overview' class='header-anchors'>Overview</h2><p>This Recommendation Engine Template has integrated <strong>Apache Spark MLlib</strong>&#39;s Collaborative Filtering algorithm by default. You can customize it easily to fit your specific needs.</p><p>We are going to show you how to create your own recommendation engine for production use based on this template.</p><h2 id='usage' class='header-anchors'>Usage</h2><h3 id='event-data-requirements' class='header-anchors'>Event Data Requirements</h3><p>By default, the template requires the following events to be collected:</p> <ul> <li>user &#39;rate&#39; item events</li> <li>user &#39;buy&#39; item events</li> </ul> <div class="alert-message note"><p>You can customize to use other event.</p></div><h3 id='input-query' class='header-anchors'>Input Query</h3> <ul> <li>user ID</li> <li>num of recomended items</li> </ul> <h3 id='output-predictedresult' class='header-anchors'>Output PredictedResult</h3> <ul> <li>a ranked list of recommended itemIDs</li> </ul> <h2 id='1.-install-and-run-predictionio' class='header-anchors'>1. Install and Run PredictionIO</h2><p>First you need to <a href="/install">install PredictionIO 0.9.6</a> (if you haven&#39;t done it).</p><p>Let&#39;s say you have installed PredictionIO at <code>/home/yourname/PredictionIO/</code>. For convenience, add PredictionIO&#39;s binary command path to your <code>PATH</code>, i.e. <code>/home/yourname/PredictionIO/bin</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="gp">$ </span><span class="nv">PATH</span><span class="o">=</span><span class="nv">$PATH</span>:/home/yourname/PredictionIO/bin; <span class="nb">export </span>PATH
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>If you launched <strong>PredictionIO AWS instance</strong>, the path is located at <code>/opt/PredictionIO/bin</code>.</p></div><p>Once you have completed the installation process, please make sure all the components (PredictionIO Event Server, Elasticsearch, and HBase) are up and running.</p><div class="alert-message note"><p>If you launched <strong>PredictionIO AWS instance</strong>, you can skip <code>pio-start-all</code>. All components should have been started automatically.</p></div><p>If you are using PostgreSQL or MySQL, run the following to start PredictionIO Event Server:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio eventserver &amp;
</pre></td></tr></tbody></table> </div> <p>If instead you are running HBase and Elasticsearch, run the following to start all PredictionIO Event Server, HBase, and Elasticsearch:</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-start-all
</pre></td></tr></tbody></table> </div> <p>You can check the status by running:</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 status
</pre></td></tr></tbody></table> </div> <p>If everything is OK, you should see the following outputs:</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</pre></td><td class="code"><pre>...

<span class="o">(</span>sleeping 5 seconds <span class="k">for </span>all messages to show up...<span class="o">)</span>
Your system is all ready to go.
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>To further troubleshoot, please see <a href="/resources/faq/#using-predictionio">FAQ - Using PredictionIO</a>.</p></div> <p><a href="#"></a></p> <h2 id='2.-create-a-new-engine-from-an-engine-template' class='header-anchors'>2. Create a new Engine from an Engine Template</h2><p>Now let&#39;s create a new engine called <em>MyRecommendation</em> by downloading the Recommendation Engine Template. Go to a directory where you want to put your engine and run 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><span class="gp">$ </span>pio template get PredictionIO/template-scala-parallel-recommendation MyRecommendation
<span class="gp">$ </span><span class="nb">cd </span>MyRecommendation
</pre></td></tr></tbody></table> </div> <p>A new directory <em>MyRecommendation</em> is created, where you can find the downloaded engine template.</p> <p><a href="#"></a></p> <h2 id='3.-generate-an-app-id-and-access-key' class='header-anchors'>3. Generate an App ID and Access Key</h2><p>You will need to create a new App in PredictionIO to store all the data of your app. The data collected will be used for machine learning modeling.</p><p>Let&#39;s assume you want to use this engine in an application named &quot;MyApp1&quot;. Run the following to create a new app &quot;MyApp1&quot;:</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 app new MyApp1
</pre></td></tr></tbody></table> </div> <p>You should find the following in the console output:</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>INFO] <span class="o">[</span>App<span class="nv">$]</span> Initialized Event Store <span class="k">for </span>this app ID: 1.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Created new app:
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span>       Name: MyApp1
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span>         ID: 1
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Access Key: 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F
</pre></td></tr></tbody></table> </div> <p>Note that <em>App ID</em><em>, **Access Key</em>* are created for this App &quot;MyApp1&quot;. You will need the <strong>Access Key</strong> when you collect data with EventServer for this App.</p><p>You can list all of the apps created its corresponding ID and Access Key by running the following command:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio app list
</pre></td></tr></tbody></table> </div> <p>You should see a list of apps created. For example:</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</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span>                 Name |   ID |                                                       Access Key | Allowed Event<span class="o">(</span>s<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span>               MyApp1 |    1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span>               MyApp2 |    2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let&#39;s collect some training data. By default, the Recommendation Engine Template supports 2 types of events: <strong>rate</strong> and <strong>buy</strong>. A user can give a rating score to an item or he can buy an item. This template requires user-view-item and user-buy-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>like</em>, <em>dislike</em> etc.</p></div><p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let&#39;s try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code>&lt;ACCCESS_KEY&gt;</code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=&lt;ACCESS_KEY&gt;</code></p> <p><a href="#"></a></p> <p>For example, when a user with ID &quot;u0&quot; rate an item with ID &quot;i0&quot; with rating of 5 on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send the following &quot;rate&quot; event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-4477eae6-a532-469a-9cf2-e04e2d64e4b7">REST API</a></li> <li data-lang="python"><a href="#tab-2ce0a68d-8141-4041-bed8-44664519b4c7">Python SDK</a></li> <li data-lang="php"><a href="#tab-eb48b009-596a-40c9-afeb-cde76c9e818b">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-2c686cfc-e624-4a4b-af35-aec7e50a789a">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-c8b50a7b-4a9b-4e6f-95ec-9471e48baa1b">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-4477eae6-a532-469a-9cf2-e04e2d64e4b7"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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7
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13</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -i -X POST http://localhost:7070/events.json?accessKey<span class="o">=</span><span class="nv">$ACCESS_KEY</span> <span class="se">\</span>
-H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{
  "event" : "rate",
  "entityType" : "user",
  "entityId" : "u0",
  "targetEntityType" : "item",
  "targetEntityId" : "i0",
  "properties" : {
    "rating" : 5
  }
  "eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-2ce0a68d-8141-4041-bed8-44664519b4c7"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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18</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>

<span class="n">client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EventClient</span><span class="p">(</span>
    <span class="n">access_key</span><span class="o">=&lt;</span><span class="n">ACCESS</span> <span class="n">KEY</span><span class="o">&gt;</span><span class="p">,</span>
    <span class="n">url</span><span class="o">=&lt;</span><span class="n">URL</span> <span class="n">OF</span> <span class="n">EVENTSERVER</span><span class="o">&gt;</span><span class="p">,</span>
    <span class="n">threads</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
    <span class="n">qsize</span><span class="o">=</span><span class="mi">500</span>
<span class="p">)</span>

<span class="c"># A user rates an item</span>
<span class="n">client</span><span class="o">.</span><span class="n">create_event</span><span class="p">(</span>
    <span class="n">event</span><span class="o">=</span><span class="s">"rate"</span><span class="p">,</span>
    <span class="n">entity_type</span><span class="o">=</span><span class="s">"user"</span><span class="p">,</span>
    <span class="n">entity_id</span><span class="o">=&lt;</span><span class="n">USER</span> <span class="n">ID</span><span class="o">&gt;</span><span class="p">,</span>
    <span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
    <span class="n">target_entity_id</span><span class="o">=&lt;</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">&gt;</span><span class="p">,</span>
    <span class="n">properties</span><span class="o">=</span> <span class="p">{</span> <span class="s">"rating"</span> <span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="o">&lt;</span><span class="n">RATING</span><span class="o">&gt;</span><span class="p">)</span> <span class="p">}</span>
<span class="p">)</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-eb48b009-596a-40c9-afeb-cde76c9e818b"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="k">require_once</span><span class="p">(</span><span class="s2">"vendor/autoload.php"</span><span class="p">);</span>
<span class="k">use</span> <span class="nx">predictionio\EventClient</span><span class="p">;</span>

<span class="nv">$client</span> <span class="o">=</span> <span class="k">new</span> <span class="nx">EventClient</span><span class="p">(</span><span class="o">&lt;</span><span class="nx">ACCESS</span> <span class="nx">KEY</span><span class="o">&gt;</span><span class="p">,</span> <span class="o">&lt;</span><span class="nx">URL</span> <span class="nx">OF</span> <span class="nx">EVENTSERVER</span><span class="o">&gt;</span><span class="p">);</span>

<span class="c1">// A user rates an item
</span><span class="nv">$client</span><span class="o">-&gt;</span><span class="na">createEvent</span><span class="p">(</span><span class="k">array</span><span class="p">(</span>
   <span class="s1">'event'</span> <span class="o">=&gt;</span> <span class="s1">'rate'</span><span class="p">,</span>
   <span class="s1">'entityType'</span> <span class="o">=&gt;</span> <span class="s1">'user'</span><span class="p">,</span>
   <span class="s1">'entityId'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="nx">USER</span> <span class="nx">ID</span><span class="o">&gt;</span><span class="p">,</span>
   <span class="s1">'targetEntityType'</span> <span class="o">=&gt;</span> <span class="s1">'item'</span><span class="p">,</span>
   <span class="s1">'targetEntityId'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">&gt;</span><span class="p">,</span>
   <span class="s1">'properties'</span> <span class="o">=&gt;</span> <span class="k">array</span><span class="p">(</span><span class="s1">'rating'</span><span class="o">=&gt;</span> <span class="o">&lt;</span><span class="nx">RATING</span><span class="o">&gt;</span><span class="p">)</span>
<span class="p">));</span>
<span class="cp">?&gt;</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-2c686cfc-e624-4a4b-af35-aec7e50a789a"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="n">client</span> <span class="o">=</span> <span class="no">PredictionIO</span><span class="o">::</span><span class="no">EventClient</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="o">&lt;</span><span class="no">ACCESS</span> <span class="no">KEY</span><span class="o">&gt;</span><span class="p">,</span> <span class="o">&lt;</span><span class="no">URL</span> <span class="no">OF</span> <span class="no">EVENTSERVER</span><span class="o">&gt;</span><span class="p">)</span>

<span class="c1"># A user rates an item.</span>
<span class="n">client</span><span class="p">.</span><span class="nf">create_event</span><span class="p">(</span>
  <span class="s1">'rate'</span><span class="p">,</span>
  <span class="s1">'user'</span><span class="p">,</span>
  <span class="o">&lt;</span><span class="no">USER</span> <span class="no">ID</span><span class="o">&gt;</span><span class="p">,</span> <span class="p">{</span>
    <span class="s1">'targetEntityType'</span> <span class="o">=&gt;</span> <span class="s1">'item'</span><span class="p">,</span>
    <span class="s1">'targetEntityId'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">&gt;</span><span class="p">,</span>
    <span class="s1">'properties'</span> <span class="o">=&gt;</span> <span class="p">{</span> <span class="s1">'rating'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="no">RATING</span> <span class="p">(</span><span class="n">float</span><span class="p">)</span><span class="o">&gt;</span> <span class="p">}</span>
  <span class="p">}</span>
<span class="p">)</span>

</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-c8b50a7b-4a9b-4e6f-95ec-9471e48baa1b"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="kn">import</span> <span class="nn">io.prediction.EventClient</span><span class="o">;</span>

<span class="n">EventClient</span> <span class="n">client</span> <span class="o">=</span> <span class="k">new</span> <span class="n">EventClient</span><span class="o">(&lt;</span><span class="n">ACCESS</span> <span class="n">KEY</span><span class="o">&gt;,</span> <span class="o">&lt;</span><span class="n">URL</span> <span class="n">OF</span> <span class="n">EVENTSERVER</span><span class="o">&gt;);</span>

<span class="c1">// A user rates an item</span>
<span class="n">Event</span> <span class="n">rateEvent</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Event</span><span class="o">()</span>
    <span class="o">.</span><span class="na">event</span><span class="o">(</span><span class="s">"rate"</span><span class="o">)</span>
    <span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"user"</span><span class="o">)</span>
    <span class="o">.</span><span class="na">entityId</span><span class="o">(&lt;</span><span class="n">USER_ID</span><span class="o">&gt;)</span>
    <span class="o">.</span><span class="na">targetEntityType</span><span class="o">(</span><span class="s">"item"</span><span class="o">)</span>
    <span class="o">.</span><span class="na">targetEntityId</span><span class="o">(&lt;</span><span class="n">ITEM_ID</span><span class="o">&gt;)</span>
    <span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"rating"</span><span class="o">,</span> <span class="k">new</span> <span class="n">Float</span><span class="o">(&lt;</span><span class="n">RATING</span><span class="o">&gt;));</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">rateEvent</span><span class="o">);</span>

</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a user with ID &quot;u1&quot; buy an item with ID &quot;i2&quot; on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send the following &quot;rate&quot; event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-56087b13-7460-4cc0-addf-36b1346de840">REST API</a></li> <li data-lang="python"><a href="#tab-e7d604eb-2751-4f60-a8c0-223abffa4bb4">Python SDK</a></li> <li data-lang="php"><a href="#tab-128e52c6-a221-421e-a3ba-a320eaecd0c8">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-2f1fd1f5-7fc5-44eb-a6b5-1f813b9af1c2">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-c17342f8-1ce0-48fd-b082-0490c287f9be">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-56087b13-7460-4cc0-addf-36b1346de840"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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-H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{
  "event" : "buy",
  "entityType" : "user",
  "entityId" : "u1",
  "targetEntityType" : "item",
  "targetEntityId" : "i2",
  "eventTime" : "2014-11-10T12:34:56.123-08:00"
}'</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-e7d604eb-2751-4f60-a8c0-223abffa4bb4"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="n">client</span><span class="o">.</span><span class="n">create_event</span><span class="p">(</span>
    <span class="n">event</span><span class="o">=</span><span class="s">"buy"</span><span class="p">,</span>
    <span class="n">entity_type</span><span class="o">=</span><span class="s">"user"</span><span class="p">,</span>
    <span class="n">entity_id</span><span class="o">=&lt;</span><span class="n">USER</span> <span class="n">ID</span><span class="o">&gt;</span><span class="p">,</span>
    <span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
    <span class="n">target_entity_id</span><span class="o">=&lt;</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">&gt;</span>
<span class="p">)</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-128e52c6-a221-421e-a3ba-a320eaecd0c8"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="c1">// A user buys an item
</span><span class="nv">$client</span><span class="o">-&gt;</span><span class="na">createEvent</span><span class="p">(</span><span class="k">array</span><span class="p">(</span>
   <span class="s1">'event'</span> <span class="o">=&gt;</span> <span class="s1">'buy'</span><span class="p">,</span>
   <span class="s1">'entityType'</span> <span class="o">=&gt;</span> <span class="s1">'user'</span><span class="p">,</span>
   <span class="s1">'entityId'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="nx">USER</span> <span class="nx">ID</span><span class="o">&gt;</span><span class="p">,</span>
   <span class="s1">'targetEntityType'</span> <span class="o">=&gt;</span> <span class="s1">'item'</span><span class="p">,</span>
   <span class="s1">'targetEntityId'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">&gt;</span>
<span class="p">));</span>
<span class="cp">?&gt;</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-2f1fd1f5-7fc5-44eb-a6b5-1f813b9af1c2"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="n">client</span><span class="p">.</span><span class="nf">create_event</span><span class="p">(</span>
  <span class="s1">'buy'</span><span class="p">,</span>
  <span class="s1">'user'</span><span class="p">,</span>
  <span class="o">&lt;</span><span class="no">USER</span> <span class="no">ID</span><span class="o">&gt;</span><span class="p">,</span> <span class="p">{</span>
    <span class="s1">'targetEntityType'</span> <span class="o">=&gt;</span> <span class="s1">'item'</span><span class="p">,</span>
    <span class="s1">'targetEntityId'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">&gt;</span>
  <span class="p">}</span>
<span class="p">)</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-c17342f8-1ce0-48fd-b082-0490c287f9be"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="n">Event</span> <span class="n">buyEvent</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Event</span><span class="o">()</span>
    <span class="o">.</span><span class="na">event</span><span class="o">(</span><span class="s">"buy"</span><span class="o">)</span>
    <span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"user"</span><span class="o">)</span>
    <span class="o">.</span><span class="na">entityId</span><span class="o">(&lt;</span><span class="n">USER_ID</span><span class="o">&gt;)</span>
    <span class="o">.</span><span class="na">targetEntityType</span><span class="o">(</span><span class="s">"item"</span><span class="o">)</span>
    <span class="o">.</span><span class="na">targetEntityId</span><span class="o">(&lt;</span><span class="n">ITEM_ID</span><span class="o">&gt;);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">buyEvent</span><span class="o">);</span>
</pre></td> </tr></tbody></table> </div> </div> </div> <p><h3 id='query-event-server' class='header-anchors'>Query Event Server</h3><p>Now let&#39;s query the EventServer and see if these events are imported successfully.</p><p>Go to following URL with your browser:</p><p><code><a href="http://localhost:7070/events.json?accessKey=&amp;lt;YOUR_ACCESS_KEY">http://localhost:7070/events.json?accessKey=&amp;lt;YOUR_ACCESS_KEY</a>&gt;</code></p><p>or run the following command in terminal:</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>curl -i -X GET <span class="s2">&quot;<a href="http://localhost:7070/events.json?accessKey=">http://localhost:7070/events.json?accessKey=</a></span><span class="nv">$ACCESS_KEY</span><span class="s2">&quot;</span>
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>Note that you should quote the entire URL by using single or double quotes when you run the <code>curl</code> command.</p></div><p>It should return the imported events in JSON format. You can refer to <a href="/datacollection/eventapi/#debugging-recipes">Event Server Debugging Recipes</a> for more different ways to query Event Server.</p></p><h3 id='import-more-sample-data' class='header-anchors'>Import More Sample Data</h3><p>This engine requires more data in order to train a useful model. Instead of sending more events one by one in real time, for quickstart demonstration purpose, we are going to use a script to import more events in batch.</p> <p>A Python import script <code>import_eventserver.py</code> is provided in the template to import the data to Event Server using Python SDK. Please upgrade to the latest Python SDK.</p><p>First, you will need to install Python SDK in order to run the sample data import script. To install Python SDK, run:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pip install predictionio
</pre></td></tr></tbody></table> </div> <p>or</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>easy_install predictionio
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>You may need <code>sudo</code> access if you have permission issue. (ie. <code>sudo pip install predictionio</code>)</p></div> <p><a href="#"></a></p> <p>Replace the value of access_key parameter by your <strong>Access Key</strong> and run:</p><div class="alert-message warning"><p>These commands must be executed in the Engine directory, for example: <code>MyRecomendation</code>.</p></div><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><span class="gp">$ </span><span class="nb">cd </span>MyRecommendation
<span class="gp">$ </span>curl https://raw.githubusercontent.com/apache/spark/master/data/mllib/sample_movielens_data.txt --create-dirs -o data/sample_movielens_data.txt
<span class="gp">$ </span>python data/import_eventserver.py --access_key <span class="nv">$ACCESS_KEY</span>
</pre></td></tr></tbody></table> </div> <p>You should see the following output:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre>Importing data...
1501 events are imported.
</pre></td></tr></tbody></table> </div> <p>Now the movie ratings data is stored as events inside the Event Store.</p> <p><a href="#"></a></p><div class="alert-message warning"><p>If you see error <strong>TypeError: <strong>init</strong>() got an unexpected keyword argument &#39;access_key&#39;</strong>, please update the Python SDK to the latest version.</p></div><p>You can query the event server again as described previously to check the imported events.</p> <div class="alert-message info"><p>By default, the template train the model with &quot;rate&quot; events (explicit rating). You can customize the engine to <a href="/templates/recommendation/reading-custom-events/">read other custom events</a> and <a href="/templates/recommendation/training-with-implicit-preference/">handle events of implicit preference (such as, view, buy)</a></p></div><h2 id='5.-deploy-the-engine-as-a-service' class='header-anchors'>5. Deploy the Engine as a Service</h2><p>Now you can build, train, and deploy the engine. First, make sure you are under the <code>MyRecommendation</code> directory.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span><span class="nb">cd </span>MyRecommendation
</pre></td></tr></tbody></table> </div> <h3 id='engine.json' class='header-anchors'>Engine.json</h3><p>Under the directory, you should find an <code>engine.json</code> file; this is where you specify parameters for the engine.</p><div class="alert-message warning"><p>Modify this file to make sure the <code>appName</code> parameter match your <strong>App Name</strong> you created earlier (e.g. &quot;MyApp1&quot; if you follow the quickstart).</p></div><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
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  <span class="s2">"datasource"</span>: <span class="o">{</span>
    <span class="s2">"params"</span> : <span class="o">{</span>
      <span class="s2">"appName"</span>: <span class="s2">"MyApp1"</span>
    <span class="o">}</span>
  <span class="o">}</span>,
  ...
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>You may see <code>appId</code> in engine.json instead, which means you are using old template. In this case, make sure the <code>appId</code> defined in the file match your <strong>App ID</strong>. Alternatively, you can download the latest version of the template or follow our <a href="/resources/upgrade/#upgrade-to-0.9.2">upgrade instructions</a> to modify the template to use <code>appName</code> as parameter.</p></div> <p><a href="#"></a></p> <p><h3 id='building' class='header-anchors'>Building</h3><p>Start with building your <em>MyRecommendation</em> engine. Run the following command:</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 --verbose
</pre></td></tr></tbody></table> </div> <p>This command should take few minutes for the first time; all subsequent builds should be less than a minute. You can also run it without <code>--verbose</code> if you don&#39;t want to see all the log messages.</p><p>Upon successful build, you should see a console message similar to 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</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>Console<span class="nv">$]</span> Your engine is ready <span class="k">for </span>training.
</pre></td></tr></tbody></table> </div> <h3 id='training-the-predictive-model' class='header-anchors'>Training the Predictive Model</h3><p>To train your engine, run the following command:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio train
</pre></td></tr></tbody></table> </div> <p>When your engine is trained successfully, you should see a console message similar to 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</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>CoreWorkflow<span class="nv">$]</span> Training completed successfully.
</pre></td></tr></tbody></table> </div> <h3 id='deploying-the-engine' class='header-anchors'>Deploying the Engine</h3><p>Now your engine is ready to deploy. Run:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio deploy
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to 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><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. To recommend 4 movies to user whose id is 1, you send this JSON <code>{ &quot;user&quot;: &quot;1&quot;, &quot;num&quot;: 4 }</code> to the deployed engine and it will return a JSON of the recommended movies. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another temrinal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-f6459a1c-4435-4d33-a32e-5bbe0dc6ef14">REST API</a></li> <li data-lang="python"><a href="#tab-827cd3f8-6654-4c14-9063-e78e6b7b58cd">Python SDK</a></li> <li data-lang="php"><a href="#tab-9817f4a2-da86-4799-a940-a18658065f5f">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-3e797bd8-928a-420d-b8d6-44e694362ea5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-2949b660-9139-49cb-8128-0a34968689e7">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-f6459a1c-4435-4d33-a32e-5bbe0dc6ef14"> <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><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "user": "1", "num": 4 }'</span> http://localhost:8000/queries.json

</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-827cd3f8-6654-4c14-9063-e78e6b7b58cd"> <div class="highlight python"> <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><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"user"</span><span class="p">:</span> <span class="s">"1"</span><span class="p">,</span> <span class="s">"num"</span><span class="p">:</span> <span class="mi">4</span><span class="p">})</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-9817f4a2-da86-4799-a940-a18658065f5f"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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5
6
7
8
9
10</pre></td> <td class="code"><pre><span class="cp">&lt;?php</span>
<span class="k">require_once</span><span class="p">(</span><span class="s2">"vendor/autoload.php"</span><span class="p">);</span>
<span class="k">use</span> <span class="nx">predictionio\EngineClient</span><span class="p">;</span>

<span class="nv">$client</span> <span class="o">=</span> <span class="k">new</span> <span class="nx">EngineClient</span><span class="p">(</span><span class="s1">'http://localhost:8000'</span><span class="p">);</span>

<span class="nv">$response</span> <span class="o">=</span> <span class="nv">$client</span><span class="o">-&gt;</span><span class="na">sendQuery</span><span class="p">(</span><span class="k">array</span><span class="p">(</span><span class="s1">'user'</span><span class="o">=&gt;</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">'num'</span><span class="o">=&gt;</span> <span class="mi">4</span><span class="p">));</span>
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>

<span class="cp">?&gt;</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-3e797bd8-928a-420d-b8d6-44e694362ea5"> <div class="highlight ruby"> <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</pre></td> <td class="code"><pre><span class="c1"># Create client object.</span>
<span class="n">client</span> <span class="o">=</span> <span class="no">PredictionIO</span><span class="o">::</span><span class="no">EngineClient</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="o">&lt;</span><span class="no">ENGINE</span> <span class="no">DEPLOY</span> <span class="no">URL</span><span class="o">&gt;</span><span class="p">)</span>

<span class="c1"># Query PredictionIO.</span>
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'user'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="no">USER</span> <span class="no">ID</span><span class="o">&gt;</span><span class="p">,</span> <span class="s1">'num'</span> <span class="o">=&gt;</span> <span class="o">&lt;</span><span class="no">NUMBER</span> <span class="p">(</span><span class="n">integer</span><span class="p">)</span><span class="o">&gt;</span><span class="p">)</span>

<span class="nb">puts</span> <span class="n">response</span>
</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-2949b660-9139-49cb-8128-0a34968689e7"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
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6
7
8
9
10
11
12
13</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">com.google.common.collect.ImmutableMap</span><span class="o">;</span>
<span class="kn">import</span> <span class="nn">com.google.gson.JsonObject</span><span class="o">;</span>

<span class="kn">import</span> <span class="nn">io.prediction.EngineClient</span><span class="o">;</span>

<span class="c1">// create client object</span>
<span class="n">EngineClient</span> <span class="n">engineClient</span> <span class="o">=</span> <span class="k">new</span> <span class="n">EngineClient</span><span class="o">(&lt;</span><span class="n">ENGINE</span> <span class="n">DEPLOY</span> <span class="n">URL</span><span class="o">&gt;);</span>

<span class="c1">// query</span>
<span class="n">JsonObject</span> <span class="n">response</span> <span class="o">=</span> <span class="n">engineClient</span><span class="o">.</span><span class="na">sendQuery</span><span class="o">(</span><span class="n">ImmutableMap</span><span class="o">.&lt;</span><span class="n">String</span><span class="o">,</span> <span class="n">Object</span><span class="o">&gt;</span><span class="n">of</span><span class="o">(</span>
        <span class="s">"user"</span><span class="o">,</span> <span class="s">"1"</span><span class="o">,</span>
        <span class="s">"num"</span><span class="o">,</span>  <span class="mi">4</span>
    <span class="o">));</span>
</pre></td> </tr></tbody></table> </div> </div> </div> <p>The following is sample JSON response:</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
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8</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">"22"</span>,<span class="s2">"score"</span>:4.072304374729956<span class="o">}</span>,
    <span class="o">{</span><span class="s2">"item"</span>:<span class="s2">"62"</span>,<span class="s2">"score"</span>:4.058482414005789<span class="o">}</span>,
    <span class="o">{</span><span class="s2">"item"</span>:<span class="s2">"75"</span>,<span class="s2">"score"</span>:4.046063009943821<span class="o">}</span>,
    <span class="o">{</span><span class="s2">"item"</span>:<span class="s2">"68"</span>,<span class="s2">"score"</span>:3.8153661512945325<span class="o">}</span>
  <span class="o">]</span>
<span class="o">}</span>
</pre></td></tr></tbody></table> </div> <p>Congratulations, <em>MyRecommendation</em> is now running!</p><div class="alert-message info"><p>To update the model periodically with new data, simply set up a cron job to call <code>pio train</code> and <code>pio deploy</code>. The engine will continue to serve prediction results during the re-train process. After the training is completed, <code>pio deploy</code> will automatically shutdown the existing engine server and bring up a new process on the same port.</p></div><div class="alert-message info"><p><strong>Note that if you import a <em>large</em> data set</strong> and the training seems to be taking forever or getting stuck, it&#39;s likely that there is not enough executor memory. It&#39;s recommended to setup a Spark standalone cluster, you&#39;ll need to specify more driver and executor memory when training with a large data set. Please see <a href="/resources/faq/#engine-training">FAQ here</a> for instructions.</p></div> <h4 id='<a-href="/templates/recommendation/dase/">next:-dase-components-explained</a>' class='header-anchors' ><a href="/templates/recommendation/dase/">Next: DASE Components Explained</a></h4></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 col-xs-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//docs.prediction.io/install/" target="blank">Download</a></li><li><a href="//docs.prediction.io/" target="blank">Docs</a></li><li><a href="//github.com/apache/incubator-predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.incubator.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 col-xs-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.incubator.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/incubator-predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.incubator.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/></div><div id="social-icons-wrapper"><a class="github-button" href="https://github.com/apache/incubator-predictionio" data-style="mega" data-count-href="/apache/incubator-predictionio/stargazers" data-count-api="/repos/apache/incubator-predictionio#stargazers_count" data-count-aria-label="# stargazers on GitHub" aria-label="Star apache/incubator-predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/incubator-predictionio/fork" data-icon="octicon-git-branch" data-style="mega" data-count-href="/apache/incubator-predictionio/network" data-count-api="/repos/apache/incubator-predictionio#forks_count" data-count-aria-label="# forks on GitHub" aria-label="Fork apache/incubator-predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="//www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="//twitter.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){
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