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lass="level-3"><a class="final"
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i 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">></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-cont
ent-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">></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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ol-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible"
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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"
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l" href="/appintegration/"><span>App Integration Overview</span></a></li><li
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SDK</span></a></li><li class="level-3"><a class="final"
href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a
class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li
class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered
SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a
class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li
class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web
Service</span></a></li><li class="level-2"><a class="final"
href="/batchpredict/"><span>Batch Predictions</span></a></li><li
class="level-2"><a class="final" href="/deploy/monitoring/"><span>
Monitoring Engine</span></a></li><li class="level-2"><a class="final"
href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li
class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying
Multiple Engine Variants</span></a></li><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</spa
n></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 Al
gorithm(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>Choosing Evaluati
on 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="final" hr
ef="/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>Ba
tch 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="leve
l-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="l
evel-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="#"><span>Demo T
utorials</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/project
s/"><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>Apache Softw
are 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">></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-content-wrappe
r"><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/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">></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 MyClassifica
tion/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>
</div></div></div></div><footer><div class="container"><div
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