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 class="col-md-9 col-sm-12"><div class="content-header hidden-md 
hidden-lg"><div id="page-title"><h1>Modeling Workflow and 
DASE</h1></div></div><div id="table-of-content-wrapper"><h5>On this 
page</h5><aside id="table-of-contents"><ul> <li> <a 
href="#training-the-model">Training The Model</a> </li> </ul> </aside><hr/><a 
id="edit-page-link" href
 
="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/machinelearning/modelingworkflow.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="page-title"><h1>Modeling 
Workflow and DASE</h1></div></div><div class="content"> <p>In addition to the 
DASE components, we also introduce the Data Model and Training Model 
abstractions. The Data Model abstraction refers to the set of Scala classes 
dealing with the implementation of modeling choices relating to feature 
<strong>extraction</strong>, <strong>preparation</strong>, and/or 
<strong>selection</strong>. For this illustration, this only includes the 
vectorization of text and t.f.-i.d.f. processing which is entirely implemented 
in the PreparedData class. The Training Model abstraction refers to any set of 
classes that individually take in a set of feature observations and output a 
predictive model. This predictive model is le
 veraged by the Algorithm component to produce prediction results to queries in 
real-time. In the engine template, this abstraction is implemented in the 
NBModel class. <strong>Please note that these are conceptual abstractions that 
are designed to make engine development easier by decoupling class 
functionality.</strong> Keeping these abstractions in mind will help you in the 
future with debugging your code, and also make it easier to incorporate 
different modeling ideas into your engine.</p><p>The figure below shows a 
graphical representation of the engine architecture just described, as well as 
its interactions with your web/app and a provided Event Server:</p><p><img 
alt="Engine Overview" 
src="/images/demo/text_classification_template/engine_overview-27e09a89.png"/></p><h2
 id='training-the-model' class='header-anchors'>Training The Model</h2><p>This 
section will guide you through the two Training Model implementations that come 
with this engine template. Recall that the Training 
 Model abstraction refers to an arbitrary set Scala Class that outputs a 
predictive model (i.e. implements some method that can be used for prediction). 
The general problem this engine template is tackling is text classification, so 
that our Training Model abstraction domain is restricted to implementations 
producing classifiers. In particular, the classification model that is 
implemented in this engine template is based on Multinomial Naive Bayes using 
t.f.-i.d.f. vectorized text.</p></div></div></div></div><footer><div 
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 class="col-md-9 col-sm-12"><div class="content-header hidden-md 
hidden-lg"><div id="page-title"><h1>Modeling Workflow and 
DASE</h1></div></div><div id="table-of-content-wrapper"><h5>On this 
page</h5><aside id="table-of-contents"><ul> <li> <a 
href="#training-the-model">Training The Model</a> </li> </ul> </aside><hr/><a 
id="edit-page-link" href="https://
 
github.com/apache/predictionio/tree/livedoc/docs/manual/source/machinelearning/modelingworkflow.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="page-title"><h1>Modeling 
Workflow and DASE</h1></div></div><div class="content"> <p>In addition to the 
DASE components, we also introduce the Data Model and Training Model 
abstractions. The Data Model abstraction refers to the set of Scala classes 
dealing with the implementation of modeling choices relating to feature 
<strong>extraction</strong>, <strong>preparation</strong>, and/or 
<strong>selection</strong>. For this illustration, this only includes the 
vectorization of text and t.f.-i.d.f. processing which is entirely implemented 
in the PreparedData class. The Training Model abstraction refers to any set of 
classes that individually take in a set of feature observations and output a 
predictive model. This predictive model is leveraged by the Algor
 ithm component to produce prediction results to queries in real-time. In the 
engine template, this abstraction is implemented in the NBModel class. 
<strong>Please note that these are conceptual abstractions that are designed to 
make engine development easier by decoupling class functionality.</strong> 
Keeping these abstractions in mind will help you in the future with debugging 
your code, and also make it easier to incorporate different modeling ideas into 
your engine.</p><p>The figure below shows a graphical representation of the 
engine architecture just described, as well as its interactions with your 
web/app and a provided Event Server:</p><p><img alt="Engine Overview" 
src="/images/demo/text_classification_template/engine_overview-27e09a89.png"/></p><h2
 id='training-the-model' class='header-anchors'>Training The Model</h2><p>This 
section will guide you through the two Training Model implementations that come 
with this engine template. Recall that the Training Model abstraction re
 fers to an arbitrary set Scala Class that outputs a predictive model (i.e. 
implements some method that can be used for prediction). The general problem 
this engine template is tackling is text classification, so that our Training 
Model abstraction domain is restricted to implementations producing 
classifiers. In particular, the classification model that is implemented in 
this engine template is based on Multinomial Naive Bayes using t.f.-i.d.f. 
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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 Y
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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="lev
 el-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="expan
 dible" 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="leve
 l-1"><a class="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" 
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class="final" href="/evaluation/"><span>Overview</span></a></li><li 
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Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a 
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Overview</span></a></li><li class="level-2"><a class="final" 
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class="level-3"><a class="final" 
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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="#
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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" 
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Algorithm</span></a></li><li class="level-3"><a class="final" 
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Properties</span></a></li></ul></li></ul></li><li class="level-1"><a 
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Template</span></a></li></ul></li><li class="lev
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class="level-2"><a class="final" href="/demo/tapster/"><span>Comics 
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href="/demo/community/"><span>Community Contributed Demo</span></a></li><li 
class="level-2"><a class="final" href="/demo/textclassification/"><span>Text 
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class="level-2"><a class="final" 
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IDEA</span></a></li><li class="level-2"><a class="final" 
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