analytics-class

An <code>S4 class</code> containing the analytics for a classified set of documents. This includes a label summary, document summary, ensemble summary, and algorithm summary. This class is returned if <code>virgin=FALSE</code> in <code><a rd-options="" href="/link/create_container?package=RTextTools&version=1.4.3" data-mini-rdoc="RTextTools::create_container">create_container</a></code>.

classes

A machine learning package for automatic text classification
that makes it simple for novice users to get started with machine
learning, while allowing experienced users to easily experiment
with different settings and algorithm combinations. The package
includes eight algorithms for ensemble classification (svm, slda,
boosting, bagging, random forests, glmnet, decision trees, neural
networks), comprehensive analytics, and thorough documentation.

Loren Collingwood

RTextTools

Automatic Text Classification via Supervised Learning

analytics-class function

Objects could in principle be created by calls of the 
 form <code>new("analytics", ...)</code>.
 The preferred form is to have them created via a call to 
 <code><a rd-options="" href="/link/create_analytics?package=RTextTools&version=1.4.3" data-mini-rdoc="RTextTools::create_analytics">create_analytics</a></code>.

Objects from the Class

<dl class="dl-horizontal">
 <dt><code>label_summary</code></dt><dd>Object of class <code>"data.frame"</code>:
 stores the analytics for each label, including the percent coded accurately and how much overcoding occurred</dd>
 <dt><code>document_summary</code></dt><dd>Object of class <code>"data.frame"</code>:
 stores the analytics for each document, including all available raw data associated with the learning process</dd>
 <dt><code>algorithm_summary</code></dt><dd>Object of class <code>"data.frame"</code>:
 stores precision, recall, and F-score statistics for each algorithm, broken down by label</dd>
 <dt><code>ensemble_summary</code></dt><dd>Object of class <code>"matrix"</code>:
 stores the accuracy and coverage for an n-algorithm ensemble scoring</dd>
 </dl>

Slots

An <code>S4 class</code> containing the analytics for a classified set of documents. This includes a label summary, document summary, ensemble summary, and algorithm summary. This class is returned if <code>virgin=FALSE</code> in <code><a rd-options='' href='create_container'>create_container</a></code>.

an S4 class containing the analytics for a classified set of documents. — analytics-class

Objects could in principle be created by calls of the 
 form <code>new("analytics", ...)</code>.
 The preferred form is to have them created via a call to 
 <code><a rd-options='' href='create_analytics'>create_analytics</a></code>.

<dl class='dl-horizontal'>
 <dt><code>label_summary</code></dt><dd>Object of class <code>"data.frame"</code>:
 stores the analytics for each label, including the percent coded accurately and how much overcoding occurred</dd>
 <dt><code>document_summary</code></dt><dd>Object of class <code>"data.frame"</code>:
 stores the analytics for each document, including all available raw data associated with the learning process</dd>
 <dt><code>algorithm_summary</code></dt><dd>Object of class <code>"data.frame"</code>:
 stores precision, recall, and F-score statistics for each algorithm, broken down by label</dd>
 <dt><code>ensemble_summary</code></dt><dd>Object of class <code>"matrix"</code>:
 stores the accuracy and coverage for an n-algorithm ensemble scoring</dd>
 </dl>

analytics-class: an S4 class containing the analytics for a classified set of documents.

Description

Arguments

Objects from the Class

Slots