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| fbq('track', "PageView");</script><script src="//use.typekit.net/mut4mjx.js"></script><script>try{Typekit.load();}catch(e){}</script></head><body class="tryit"><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://prediction.io/"><img alt="PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a></div><div id="menu-wrapper"><div id="header-nav-options-wrapper"><ul><li><a href="/">Install & Doc</a></li> <li><a href="/support">Support</a></li> </ul></div><div id="pill-wrapper"><a class="pill left" href="//templates.prediction.io/">TEMPLATES</a> <a class="pill right" href="//github.com/PredictionIO/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="page" class="container"><main id="main" role="main" data-swiftype-index="true"><div id="content"><div class="codepicnic"><div class="tutorial"><div class="jcarousel-wrapper"><ul class="jcarousel-pagination"></ul><div class="jcarousel"><ul><li><h2>Introduction</h2><p>To see how PredictionIO works, you can follow this quick tutorial to:</p><p>Start the PredictionIO server</p><p>Build, train, and deploy a predictive model with pre-imported data.</p><p>Query prediction results.</p><p><a class="button-primary" id="tryit-start" href="#">Start</a></p></li><li><h2>Start</h2><p>Start PredictionIO and it's dependancies with:</p><p><code>$ pio-start-all</code></p><h2>Check Status</h2><p>At any time you can run:</p><p><code>$ pio status</code></p><p>Which checks the status of PredictionIO and it's dependancies.</p></li><li><h2>Build</h2><p>All engine commands need to be run from within the engine directory:</p><p><code>$ cd ~/PredictionIO/MyEngine</code></p><p>Build the engine with:</p><p><code>$ pio build</code></p></li><li><h2>Train and Deploy</h2><h3>Train the engine</h3><p><a href="http://grouplens.org/datasets/movielens/">Sample data</a> is already imported, you can train the model the data by running:</p><p><code>$ pio train</code></p><h3>Deploy the trained engine</h3><p>Deploy the trained engine as a background process:</p><p><code>$ pio deploy &</code></p></li><li><h2>Querying Results</h2><p>You can query results using cURL with after you see "Ready to serve":</p><p><code>$ curl -H "Content-Type: application/json" -d '{ "items": ["296"], "num": 5 }' http://localhost:8000/queries.json</code></p><p>This will return 5 recomended movies for movie 296 (Pulp Fiction).</p></li><li><h2>Next Steps</h2><p><a href="http://docs.prediction.io/install/">Install</a> PredictionIO on your own computer!</p><h3>Support</h3><p>Get support on our <a href="https://groups.google.com/forum/#!forum/predictionio-user">Google Group</a> or on Twitter <a href="https://twitter.com/predictionio/">@PredictionIO</a></p></li></ul><div 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