predictionio-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From git-site-r...@apache.org
Subject [38/51] [partial] incubator-predictionio-site git commit: Documentation based on apache/incubator-predictionio#e6ea7dd2888564ae9b3242647cbf07af6287a3ee
Date Sat, 21 Oct 2017 05:45:56 GMT
http://git-wip-us.apache.org/repos/asf/incubator-predictionio-site/blob/452034c1/customize/dase/index.html
----------------------------------------------------------------------
diff --git a/customize/dase/index.html b/customize/dase/index.html
index 41c106e..2bc07d9 100644
--- a/customize/dase/index.html
+++ b/customize/dase/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html><head><title>Implementing DASE</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="Implementing DASE"/><link rel="canonical" href="https://predictionio.incubator.apache.org/customize/dase/"/><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-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/M
 athJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: 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><span>™</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" 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"><di
 v class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Implement DASE</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 id="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="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="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="f
 inal" 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><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</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 active" 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" hre
 f="#"><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><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a cl
 ass="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>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><l
 i 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/reco
 mmendation/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="/templates/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 class="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>Clas
 sification</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 class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></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="/gallery/template-gallery/"><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 cla
 ss="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 c
 lass="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>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="/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" 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="ex
 pandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</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="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Customizing an Engine</a><span class="spacer">&gt;</span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div id="
 table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#datasource">DataSource</a> <ul> <li> <a href="#readtraining">readTraining()</a> </li> <li> <a href="#using-peventstore-engine-api">Using PEventStore Engine API</a> </li> </ul> </li> <li> <a href="#preparator">Preparator</a> <ul> <li> <a href="#prepare">prepare()</a> </li> </ul> </li> <li> <a href="#algorithm">Algorithm</a> <ul> <li> <a href="#train">train()</a> </li> <li> <a href="#predict">predict()</a> </li> <li> <a href="#p2lalgorithm">P2LAlgorithm</a> </li> <li> <a href="#palgorithm">PAlgorithm</a> </li> <li> <a href="#using-leventstore-engine-api-in-predict">using LEventStore Engine API in predict()</a> </li> </ul> </li> <li> <a href="#serving">Serving</a> <ul> <li> <a href="#serve">serve()</a> </li> </ul> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/customize/dase.html.md.erb"><img src="/image
 s/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="#">Customizing an Engine</a><span class="spacer">&gt;</span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div class="content"> <p>This section gives you an overview of DASE components and how to implement them. You will find links to some engine templates for more concrete examples.</p><h1 id='datasource' class='header-anchors'>DataSource</h1><p>DataSource reads and selects useful data from the Event Store (data store of the Event Server) and returns TrainingData.</p><h2 id='readtraining()' class='header-anchors'>readTraining()</h2><p>You need to implment readTraining() of <a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.controller.PDataSource">PDataSource</a>, where you can use the <a href="http
 s://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.data.store.PEventStore$">PEventStore Engine API</a> to read the events and create the TrainingData based on the events.</p><p>The following code example reads user &quot;view&quot; and &quot;buy&quot; item events, filters specific type of events for future processing and returns TrainingData accordingly.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+<!DOCTYPE html><html><head><title>Implementing DASE</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="Implementing DASE"/><link rel="canonical" href="https://predictionio.apache.org/customize/dase/"/><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-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?
 config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: 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.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>™</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" 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="hidd
 en-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Implement DASE</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"><na
 v id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO™ Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO</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</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="level-2"><a class="final" href="/app
 integration/"><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 En
 gine</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><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</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 active" 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><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorith
 m(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</s
 pan></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>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="/templates/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 class="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 clas
 s="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 class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></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="/gallery/template-gallery/"><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>Commu
 nity 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>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="/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" 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" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</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="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Customizing an Engine</a><span class="spacer">&gt;</span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><asid
 e id="table-of-contents"><ul> <li> <a href="#datasource">DataSource</a> <ul> <li> <a href="#readtraining">readTraining()</a> </li> <li> <a href="#using-peventstore-engine-api">Using PEventStore Engine API</a> </li> </ul> </li> <li> <a href="#preparator">Preparator</a> <ul> <li> <a href="#prepare">prepare()</a> </li> </ul> </li> <li> <a href="#algorithm">Algorithm</a> <ul> <li> <a href="#train">train()</a> </li> <li> <a href="#predict">predict()</a> </li> <li> <a href="#p2lalgorithm">P2LAlgorithm</a> </li> <li> <a href="#palgorithm">PAlgorithm</a> </li> <li> <a href="#using-leventstore-engine-api-in-predict">using LEventStore Engine API in predict()</a> </li> </ul> </li> <li> <a href="#serving">Serving</a> <ul> <li> <a href="#serve">serve()</a> </li> </ul> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/customize/dase.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="#">Customizing an Engine</a><span class="spacer">&gt;</span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div class="content"> <p>This section gives you an overview of DASE components and how to implement them. You will find links to some engine templates for more concrete examples.</p><h1 id='datasource' class='header-anchors'>DataSource</h1><p>DataSource reads and selects useful data from the Event Store (data store of the Event Server) and returns TrainingData.</p><h2 id='readtraining()' class='header-anchors'>readTraining()</h2><p>You need to implment readTraining() of <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.PDataSource">PDataSource</a>, where you can use the <a href="https://predictionio.apache.org/api/current/#org.apache.prediction
 io.data.store.PEventStore$">PEventStore Engine API</a> to read the events and create the TrainingData based on the events.</p><p>The following code example reads user &quot;view&quot; and &quot;buy&quot; item events, filters specific type of events for future processing and returns TrainingData accordingly.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
 2
 3
 4
@@ -51,7 +51,7 @@
   <span class="o">}</span>
 
 <span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <h2 id='using-peventstore-engine-api' class='header-anchors'>Using PEventStore Engine API</h2><p>Please see <a href="https://predictionio.incubator.apache.org/datacollection/">Event Server Overview</a> to understand <a href="https://predictionio.incubator.apache.org/datacollection/eventapi/">EventAPI</a> and <a href="https://predictionio.incubator.apache.org/datacollection/eventmodel/">event modeling</a>.</p><p>With <a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.data.store.PEventStore$">PEventStore Engine API</a>, you can easily read different events in DataSource and get the information you need.</p><p>For example, let&#39;s say you have events like the following:</p><div class="highlight json"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <h2 id='using-peventstore-engine-api' class='header-anchors'>Using PEventStore Engine API</h2><p>Please see <a href="https://predictionio.apache.org/datacollection/">Event Server Overview</a> to understand <a href="https://predictionio.apache.org/datacollection/eventapi/">EventAPI</a> and <a href="https://predictionio.apache.org/datacollection/eventmodel/">event modeling</a>.</p><p>With <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.data.store.PEventStore$">PEventStore Engine API</a>, you can easily read different events in DataSource and get the information you need.</p><p>For example, let&#39;s say you have events like the following:</p><div class="highlight json"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
 2
 3
 4
@@ -123,7 +123,7 @@
           <span class="k">throw</span> <span class="n">e</span>
       <span class="o">}</span>
     <span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>If you have used special events <code>$set/$unset/$delete</code> setting entity&#39;s properties, you can retrieve it with <code>PEventStore.aggregateProperties()</code>.</p><p>Please see <a href="https://predictionio.incubator.apache.org/datacollection/eventmodel/">event modeling</a> to understand usage of special <code>$set/$unset/$delete</code> events.</p><p>For example, the following code show how you could retrieve properties of the &quot;item&quot; entities:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>If you have used special events <code>$set/$unset/$delete</code> setting entity&#39;s properties, you can retrieve it with <code>PEventStore.aggregateProperties()</code>.</p><p>Please see <a href="https://predictionio.apache.org/datacollection/eventmodel/">event modeling</a> to understand usage of special <code>$set/$unset/$delete</code> events.</p><p>For example, the following code show how you could retrieve properties of the &quot;item&quot; entities:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
 2
 3
 4
@@ -168,7 +168,7 @@
       <span class="o">}</span>
 
     <span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>Example:</p> <ul> <li><a href="/templates/similarproduct/dase/#data">DataSource of Similar Product Template</a></li> </ul> <h1 id='preparator' class='header-anchors'>Preparator</h1><p>Preparator is responsible for pre-processing <code>TrainingData</code> for any necessary feature selection and data processing tasks and generate <code>PreparedData</code> which contains the data the Algorithm needs.</p><p>A few example usages of Preparator:</p> <ul> <li>Feature extraction</li> <li>Common pre-processing logic if you have multiple algorithms</li> <li>For simple cases, the Preparator may simply pass the same <code>TrainingData</code> as <code>PreparedData</code> for Algorithm.</li> </ul> <h2 id='prepare()' class='header-anchors'>prepare()</h2><p>You need to implement the <code>prepare()</code> method of <a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.controller.PPreparator">PPrepartor</a> to perform such t
 asks.</p><p>Example:</p> <ul> <li><a href="/templates/leadscoring/dase/#data">Preparator of Leading Scoring Template</a>: it pre-processes the TrainingData and generate the feature vectors needed for the algorithm.</li> <li><a href="/templates/similarproduct/dase/#data">Preparator of Similar Product Template</a>: it simply passes the TrainingData as PreparedData for the algorithm.</li> </ul> <h1 id='algorithm' class='header-anchors'>Algorithm</h1><p>The two methods of the Algorithm class are train() and predict():</p><h2 id='train()' class='header-anchors'>train()</h2><p>train() is responsible for training a predictive model. It is called when you run <code>pio train</code>. Apache PredictionIO (incubating) will store this model.</p><h2 id='predict()' class='header-anchors'>predict()</h2><p>predict() is responsible for using this model to make prediction. It is called when you send a JSON query to the engine. Note that predict() is called in real time.</p><p>Apache PredictionIO (inc
 ubating) supports two types of algorithms:</p> <ul> <li><strong><a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.controller.P2LAlgorithm">P2LAlgorithm</a></strong>: trains a Model which does not contain RDD</li> <li><strong><a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.controller.PAlgorithm">PAlgorithm</a></strong>: trains a Model which contains RDD</li> </ul> <h2 id='p2lalgorithm' class='header-anchors'>P2LAlgorithm</h2><p>For <code>P2LAlgorithm</code>, the Model is automatically serialized and persisted by Apache PredictionIO (incubating) after training.</p><p>Implementing <code>IPersistentModel</code> and <code>IPersistentModelLoader</code> is optional for P2LAlgorithm.</p><p>Example:</p> <ul> <li><a href="/templates/similarproduct/dase/#algorithm">Algorithm of Similar Product Template</a></li> </ul> <h2 id='palgorithm' class='header-anchors'>PAlgorithm</h2><p><code>PAlgorithm</code> should be used w
 hen your Model contains RDD. The model produced by <code>PAlgorithm</code> is not persisted by default. To persist the model, you need to do the following:</p> <ul> <li>The Model class should extend the <code>IPersistentModel</code> trait and implement the <code>save()</code> method for saving the model. The trait <code>IPersistentModel</code> requires a type parameter which is the class type of algorithm parameter.</li> <li>Implement a Model factory object which extends the <code>IPersistentModelLoader</code> trait and implement the <code>apply()</code> for loading the model. The trait <code>IPersistentModelLoader</code> requires two type parameters which are the types of algorithm parameter and the model produced by the algorithm.</li> </ul> <p>Example:</p> <ul> <li><a href="/templates/recommendation/dase/#algorithm">Algorithm of Recommendation Template</a>: it implements PAlgorithm and the IPersistentModel and IPersistentModelLoader.</li> <li><a href="/templates/vanilla/dase">Alg
 orithm of Vanilla Template</a>: it walks through example of P2LAlgorithm and PAlgorithm.</li> </ul> <h2 id='using-leventstore-engine-api-in-predict()' class='header-anchors'>using LEventStore Engine API in predict()</h2><p>You may use <a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.data.store.LEventStore$">LEventStore.findByEntity()</a> to retrieve events of a specific entity. For example, retrieve recent events of the user specified in the query) and use these recent events to make prediction in real time.</p><p>For example, the following code reads the recent 10 view events of <code>query.user</code>:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Example:</p> <ul> <li><a href="/templates/similarproduct/dase/#data">DataSource of Similar Product Template</a></li> </ul> <h1 id='preparator' class='header-anchors'>Preparator</h1><p>Preparator is responsible for pre-processing <code>TrainingData</code> for any necessary feature selection and data processing tasks and generate <code>PreparedData</code> which contains the data the Algorithm needs.</p><p>A few example usages of Preparator:</p> <ul> <li>Feature extraction</li> <li>Common pre-processing logic if you have multiple algorithms</li> <li>For simple cases, the Preparator may simply pass the same <code>TrainingData</code> as <code>PreparedData</code> for Algorithm.</li> </ul> <h2 id='prepare()' class='header-anchors'>prepare()</h2><p>You need to implement the <code>prepare()</code> method of <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.PPreparator">PPrepartor</a> to perform such tasks.</p><
 p>Example:</p> <ul> <li><a href="/templates/leadscoring/dase/#data">Preparator of Leading Scoring Template</a>: it pre-processes the TrainingData and generate the feature vectors needed for the algorithm.</li> <li><a href="/templates/similarproduct/dase/#data">Preparator of Similar Product Template</a>: it simply passes the TrainingData as PreparedData for the algorithm.</li> </ul> <h1 id='algorithm' class='header-anchors'>Algorithm</h1><p>The two methods of the Algorithm class are train() and predict():</p><h2 id='train()' class='header-anchors'>train()</h2><p>train() is responsible for training a predictive model. It is called when you run <code>pio train</code>. Apache PredictionIO will store this model.</p><h2 id='predict()' class='header-anchors'>predict()</h2><p>predict() is responsible for using this model to make prediction. It is called when you send a JSON query to the engine. Note that predict() is called in real time.</p><p>Apache PredictionIO supports two types of algor
 ithms:</p> <ul> <li><strong><a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.P2LAlgorithm">P2LAlgorithm</a></strong>: trains a Model which does not contain RDD</li> <li><strong><a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.PAlgorithm">PAlgorithm</a></strong>: trains a Model which contains RDD</li> </ul> <h2 id='p2lalgorithm' class='header-anchors'>P2LAlgorithm</h2><p>For <code>P2LAlgorithm</code>, the Model is automatically serialized and persisted by Apache PredictionIO after training.</p><p>Implementing <code>IPersistentModel</code> and <code>IPersistentModelLoader</code> is optional for P2LAlgorithm.</p><p>Example:</p> <ul> <li><a href="/templates/similarproduct/dase/#algorithm">Algorithm of Similar Product Template</a></li> </ul> <h2 id='palgorithm' class='header-anchors'>PAlgorithm</h2><p><code>PAlgorithm</code> should be used when your Model contains RDD. The model produced by <code>PAlgorithm</
 code> is not persisted by default. To persist the model, you need to do the following:</p> <ul> <li>The Model class should extend the <code>IPersistentModel</code> trait and implement the <code>save()</code> method for saving the model. The trait <code>IPersistentModel</code> requires a type parameter which is the class type of algorithm parameter.</li> <li>Implement a Model factory object which extends the <code>IPersistentModelLoader</code> trait and implement the <code>apply()</code> for loading the model. The trait <code>IPersistentModelLoader</code> requires two type parameters which are the types of algorithm parameter and the model produced by the algorithm.</li> </ul> <p>Example:</p> <ul> <li><a href="/templates/recommendation/dase/#algorithm">Algorithm of Recommendation Template</a>: it implements PAlgorithm and the IPersistentModel and IPersistentModelLoader.</li> <li><a href="/templates/vanilla/dase">Algorithm of Vanilla Template</a>: it walks through example of P2LAlgori
 thm and PAlgorithm.</li> </ul> <h2 id='using-leventstore-engine-api-in-predict()' class='header-anchors'>using LEventStore Engine API in predict()</h2><p>You may use <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.data.store.LEventStore$">LEventStore.findByEntity()</a> to retrieve events of a specific entity. For example, retrieve recent events of the user specified in the query) and use these recent events to make prediction in real time.</p><p>For example, the following code reads the recent 10 view events of <code>query.user</code>:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
 2
 3
 4
@@ -211,7 +211,7 @@
         <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="o">(</span><span class="n">s</span><span class="s">"Error when read recent events: ${e}"</span><span class="o">)</span>
         <span class="k">throw</span> <span class="n">e</span>
     <span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>Example:</p> <ul> <li><a href="/templates/ecommercerecommendation/dase#algorithm">Algorithm of E-Commerce Recommendation template</a>: LEventStore.findByEntity() is used to retrieve all items seen by the user and filter them from recommendation in predict().</li> </ul> <h1 id='serving' class='header-anchors'>Serving</h1><h2 id='serve()' class='header-anchors'>serve()</h2><p>You need to implement the serve() method of the class <a href="https://predictionio.incubator.apache.org/api/current/#org.apache.predictionio.controller.LServing">LServing</a>. The serve() method processes predicted result. It is also responsible for combining multiple predicted results into one if you have more than one predictive model.</p><p>Example:</p> <ul> <li><a href="/templates/similarproduct/dase/#serving">Serving of Similar Product Template</a>: It simply returns the predicted result</li> <li><a href="/templates/similarproduct/multi-events-multi-algos/">Serving
  of multi-algorithm examples of Similar Product Template</a>: It combines the result of multiple algorithms and return</li> </ul> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.incubator.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.incubator.apache.org/" 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 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.incubator.apache.org/community/contribut
 e-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 class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div><div class="row"><div class="col-md-12 footer-link-column"><a class="pull-right" href="http://incubator.apache.org/projects/predictionio.html"><img alt="Apache Incubator" src="/images/logos/apache_incubator-6954b
 d16.png"/></a><span>Apache PredictionIO is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.</span></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"/><span>™</span></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="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.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(){
+</pre></td></tr></tbody></table> </div> <p>Example:</p> <ul> <li><a href="/templates/ecommercerecommendation/dase#algorithm">Algorithm of E-Commerce Recommendation template</a>: LEventStore.findByEntity() is used to retrieve all items seen by the user and filter them from recommendation in predict().</li> </ul> <h1 id='serving' class='header-anchors'>Serving</h1><h2 id='serve()' class='header-anchors'>serve()</h2><p>You need to implement the serve() method of the class <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.LServing">LServing</a>. The serve() method processes predicted result. It is also responsible for combining multiple predicted results into one if you have more than one predictive model.</p><p>Example:</p> <ul> <li><a href="/templates/similarproduct/dase/#serving">Serving of Similar Product Template</a>: It simply returns the predicted result</li> <li><a href="/templates/similarproduct/multi-events-multi-algos/">Serving of multi-
 algorithm examples of Similar Product Template</a>: It combines the result of multiple algorithms and return</li> </ul> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" 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.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 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.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.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></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"/><span>™</span></div><div id="social-icons-wrapper"><a class="github-button" hr
 ef="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="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="Predic
 tionIO 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(){
 (w[n].q=w[n].q||[]).push(arguments);};s=d.createElement(t);
 e=d.getElementsByTagName(t)[0];s.async=1;s.src=u;e.parentNode.insertBefore(s,e);
 })(window,document,'script','//s.swiftypecdn.com/install/v1/st.js','_st');

http://git-wip-us.apache.org/repos/asf/incubator-predictionio-site/blob/452034c1/customize/dase/index.html.gz
----------------------------------------------------------------------
diff --git a/customize/dase/index.html.gz b/customize/dase/index.html.gz
index eb021e7..b50474c 100644
Binary files a/customize/dase/index.html.gz and b/customize/dase/index.html.gz differ


Mime
View raw message