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 >Serving</span></a></li><li class="level-3"><a class="final" 
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for Users</span></a></li><li class="level-3"><a class="final" 
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 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="#">ML Tuning and Evaluation</a><span 
class="spacer">&gt;</span></li><li><span class="last">Hyperparameter 
Tuning</span></li></ul></div><div id="page-title"><h1>Hyperparam
 eter Tuning</h1></div></div><div id="table-of-content-wrapper"><h5>On this 
page</h5><aside id="table-of-contents"><ul> <li> <a href="#quick-start">Quick 
Start</a> </li> <li> <a href="#detailed-explanation">Detailed Explanation</a> 
</li> <li> <a href="#the-evaluation-design">The Evaluation Design</a> </li> 
<li> <a href="#evaluation-data-generation">Evaluation Data Generation</a> </li> 
<li> <a href="#evaluation-metrics">Evaluation Metrics</a> </li> <li> <a 
href="#parameters-generation">Parameters Generation</a> </li> <li> <a 
href="#running-the-evaluation">Running the Evaluation</a> </li> <li> <a 
href="#notes">Notes</a> </li> </ul> </aside><hr/><a id="edit-page-link" 
href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/evaluation/paramtuning.html.md";><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="#">ML Tuning an
 d Evaluation</a><span class="spacer">&gt;</span></li><li><span 
class="last">Hyperparameter Tuning</span></li></ul></div><div 
id="page-title"><h1>Hyperparameter Tuning</h1></div></div><div class="content"> 
<p>A PredictionIO engine is instantiated by a set of parameters. These 
parameters define which algorithm is to be used, as well supply the parameters 
for the algorithm itself. This naturally raises the question of how to choose 
the best set of parameters. The evaluation module streamlines the process of 
<em>tuning</em> the engine to the best parameter set and deploys it.</p><h2 
id='quick-start' class='header-anchors'>Quick Start</h2><p>We demonstrate the 
evaluation with <a href="/templates/classification/quickstart/">the 
classification template</a>. The classification template uses a naive bayesian 
algorithm that has a smoothing parameter. We evaluate the prediction quality 
against different parameter values to find the best parameter values, and then 
deploy it.</p><h3 id='edit-the
 -appid' class='header-anchors'>Edit the AppId</h3><p>Edit 
MyClassification/src/main/scala/<strong><em>Evaluation.scala</em></strong> to 
specify the <em>appId</em> you used to import the data.</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>Hyperparameter Tuning</title><meta 
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Tuning</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 
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 r" class="col-md-3"><nav 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 c
 lass="final" href="/appintegration/"><span>App Integration 
Overview</span></a></li><li class="level-2"><a class="expandible" 
href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a 
class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li 
class="level-3"><a class="final" href="/sdk/php/"><span>PHP 
SDK</span></a></li><li class="level-3"><a class="final" 
href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a 
class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li 
class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered 
SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a 
class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li 
class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web 
Service</span></a></li><li class="level-2"><a class="final" 
href="/batchpredict/"><span>Batch Predictions</span></a></li><li 
class="level-2"><a class="final" href="/deploy/monitorin
 g/"><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" 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>Choo
 sing 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 active" 
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>Choosin
 g 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><li 
class="level-3"><a class="f
 inal" 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 cla
 ss="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 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 class="expandible" 
href="#"><spa
 n>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>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>Apac
 he 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="#">ML Tuning and Evaluation</a><span 
class="spacer">&gt;</span></li><li><span class="last">Hyperparameter 
Tuning</span></li></ul></div><div id="page-title"><h1>Hyperparameter 
Tuning</h1></div></div><div id="table-of-conten
 t-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a 
href="#quick-start">Quick Start</a> </li> <li> <a 
href="#detailed-explanation">Detailed Explanation</a> </li> <li> <a 
href="#the-evaluation-design">The Evaluation Design</a> </li> <li> <a 
href="#evaluation-data-generation">Evaluation Data Generation</a> </li> <li> <a 
href="#evaluation-metrics">Evaluation Metrics</a> </li> <li> <a 
href="#parameters-generation">Parameters Generation</a> </li> <li> <a 
href="#running-the-evaluation">Running the Evaluation</a> </li> <li> <a 
href="#notes">Notes</a> </li> </ul> </aside><hr/><a id="edit-page-link" 
href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/evaluation/paramtuning.html.md";><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="#">ML Tuning and 
Evaluation</a><span class="spacer">&gt;</span></li
 ><li><span class="last">Hyperparameter Tuning</span></li></ul></div><div 
 >id="page-title"><h1>Hyperparameter Tuning</h1></div></div><div 
 >class="content"> <p>A PredictionIO engine is instantiated by a set of 
 >parameters. These parameters define which algorithm is to be used, as well 
 >supply the parameters for the algorithm itself. This naturally raises the 
 >question of how to choose the best set of parameters. The evaluation module 
 >streamlines the process of <em>tuning</em> the engine to the best parameter 
 >set and deploys it.</p><h2 id='quick-start' class='header-anchors'>Quick 
 >Start</h2><p>We demonstrate the evaluation with <a 
 >href="/templates/classification/quickstart/">the classification template</a>. 
 >The classification template uses a naive bayesian algorithm that has a 
 >smoothing parameter. We evaluate the prediction quality against different 
 >parameter values to find the best parameter values, and then deploy 
 >it.</p><h3 id='edit-the-appid' class='header-anchors'>Edit the AppId</h3><p
 >Edit 
 >MyClassification/src/main/scala/<strong><em>Evaluation.scala</em></strong> to 
 >specify the <em>appId</em> you used to import the data.</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
@@ -385,7 +385,7 @@ Metrics:
   org.template.classification.Accuracy: 0.9281045751633987
 The best variant params can be found <span class="k">in </span>best.json
 <span class="o">[</span>INFO] <span class="o">[</span>CoreWorkflow<span 
class="nv">$]</span> runEvaluation completed
-</pre></td></tr></tbody></table> </div> <h2 id='notes' 
class='header-anchors'>Notes</h2> <ul> <li>We deliberately not metion 
<strong><em>test set</em></strong> in this hyperparameter tuning guide. In 
machine learning literature, the <strong><em>test set</em></strong> is a 
separate piece of data which is used to evaluate the final engine params 
outputted by the evaluation process. This guarantees that no information in the 
training / validation set is <em>leaked</em> into the engine params and yields 
a biased outcome. With PredictionIO, there are multiple ways of conducting 
robust tuning, we will cover this topic in the coming sections.</li> </ul> 
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+</pre></td></tr></tbody></table> </div> <h2 id='notes' 
class='header-anchors'>Notes</h2> <ul> <li>We deliberately not metion 
<strong><em>test set</em></strong> in this hyperparameter tuning guide. In 
machine learning literature, the <strong><em>test set</em></strong> is a 
separate piece of data which is used to evaluate the final engine params 
outputted by the evaluation process. This guarantees that no information in the 
training / validation set is <em>leaked</em> into the engine params and yields 
a biased outcome. With PredictionIO, there are multiple ways of conducting 
robust tuning, we will cover this topic in the coming sections.</li> </ul> 
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Apache, the Apache feather logo, and the Apache Pred
 ictionIO project logo are either registered trademarks or trademarks of The 
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