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class="spacer">&gt;</span></li><li><span class="last">Switching to Another 
Algorithm</span></li></ul></div><div id="page-title"><h1>Switching to Another 
Algorithm</h1></div></div><d
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class="hidden-sm hidden xs"><ul><li><a href="#">Choosing an Algorithm</a><span 
class="spacer">&gt;</span></li><li><span class="last">Switching to Another 
Algorithm</span></li></ul></div><div id="page-title"><h1>Switching to Another 
Algorithm</h1></div></div><div class="content"> <p>Every engine template comes 
with default algorithm(s). To switch to another algorithm, you simply need to 
modify the Algorithm class.</p><p>Here are some How-to examples:</p> <ul> 
<li><a href="/templates/classification/add-algorithm/">Classification template 
- switching from NaiveBayes to Random Forests</a></li> </ul> 
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href="/datacollection/eventapi/"><span>Collecting Data with 
REST/SDKs</span></a></li><li class="level-2"><a class="final" 
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class="level-2"><a class="final" 
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href="/datacollection/analytics/"><span>Using Analytics 
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Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Choosi
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class="spacer">&gt;</span></li><li><span class="last">App Integration 
Overview</span></li></ul></div><div id="page-title"><h1>App Integration 
Overview</h1></div></div><div id="table-of-content-wrap
 per"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a 
href="#sending-event-data">Sending Event Data</a> </li> <li> <a 
href="#sending-query">Sending Query</a> </li> </ul> </aside><hr/><a 
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class="hidden-sm hidden xs"><ul><li><a href="#">Integrating with Your 
App</a><span class="spacer">&gt;</span></li><li><span class="last">App 
Integration Overview</span></li></ul></div><div id="page-title"><h1>App 
Integration Overview</h1></div></div><div class="content"> <p>Apache 
PredictionIO is designed as a machine learning server that integrates with your 
applications on production environments.</p><p>A web or mobile app 
normally:</p> <ol> <li> Send event data to Apache PredictionIO&#39;s Event 
Server for model tra
 ining</li> <li> Send dynamic queries to deployed engine(s) to retrieve 
predicted results</li> </ol> <p><img alt="Apache PredictionIO Single Engine 
Overview" src="/images/overview-singleengine-0a99200d.png"/></p><h2 
id='sending-event-data' class='header-anchors'>Sending Event Data</h2><p>Apache 
PredictionIO&#39;s Event Server receives event data from your application. The 
data can be used by engines as training data to build predictive 
models.</p><p>Event Server listens to port 7070 by default. You can change the 
port with the <a href="/cli/#event-server-commands">--port arg</a> when you 
launch the Event Server.</p><p>For further information, please read:</p> <ul> 
<li><a href="/datacollection/">Event Server Overview</a></li> <li><a 
href="/datacollection/eventapi">Collecting Data with REST/SDKs</a></li> </ul> 
<h2 id='sending-query' class='header-anchors'>Sending Query</h2><p>After you 
deploy an engine as a web service, it will wait for queries from your 
application and return predicte
 d results in JSON format. An engine listens to port 8000 by default. If you 
want to deploy multiple engines, you can specific a different port for each of 
them.</p><p>For further information, please read:</p> <ul> <li><a 
href="/deploy/">Deploying an Engine as a Web Service</a></li> </ul> 
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class="level-2"><a class="final" href="/start/download/"><span>Downloading an 
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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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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 
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class="final" href="/deploy/engineparams/"><span>Setting Engine 
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href="/deploy/enginevariants/"><span>Deploying Multiple Engine 
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href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li 
class="level-1"><a class="expandible" href="#"><span>Customizing an 
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APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Collecting and A
 nalyzing 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="#"><s
 pan>Choosing an Algorithm</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>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 Eva
 luation 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 
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href="#">Integrating with Your App</a><span 
class="spacer">&gt;</span></li><li><span class="last">App Integration 
Overview</span></li></ul></div><div id="page-title"><h1>App Integration 
Overview</h1></div></div><div id="table-of-content-wrapper"><h5>On this 
page</h5><aside id="table-of-contents"><ul> <li> <a href="#sending-eve
 nt-data">Sending Event Data</a> </li> <li> <a href="#sending-query">Sending 
Query</a> </li> </ul> </aside><hr/><a id="edit-page-link" 
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App</a><span class="spacer">&gt;</span></li><li><span class="last">App 
Integration Overview</span></li></ul></div><div id="page-title"><h1>App 
Integration Overview</h1></div></div><div class="content"> <p>Apache 
PredictionIO is designed as a machine learning server that integrates with your 
applications on production environments.</p><p>A web or mobile app 
normally:</p> <ol> <li> Send event data to Apache PredictionIO&#39;s Event 
Server for model training</li> <li> Send dynamic queries to deployed engine(s) 
to retrieve predicted result
 s</li> </ol> <p><img alt="Apache PredictionIO Single Engine Overview" 
src="/images/overview-singleengine-0a99200d.png"/></p><h2 
id='sending-event-data' class='header-anchors'>Sending Event Data</h2><p>Apache 
PredictionIO&#39;s Event Server receives event data from your application. The 
data can be used by engines as training data to build predictive 
models.</p><p>Event Server listens to port 7070 by default. You can change the 
port with the <a href="/cli/#event-server-commands">--port arg</a> when you 
launch the Event Server.</p><p>For further information, please read:</p> <ul> 
<li><a href="/datacollection/">Event Server Overview</a></li> <li><a 
href="/datacollection/eventapi">Collecting Data with REST/SDKs</a></li> </ul> 
<h2 id='sending-query' class='header-anchors'>Sending Query</h2><p>After you 
deploy an engine as a web service, it will wait for queries from your 
application and return predicted results in JSON format. An engine listens to 
port 8000 by default. If you want to dep
 loy multiple engines, you can specific a different port for each of 
them.</p><p>For further information, please read:</p> <ul> <li><a 
href="/deploy/">Deploying an Engine as a Web Service</a></li> </ul> 
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