blob: 5b226220af0d14fc3d49f319bf22a37c6d2a6f93 [file] [log] [blame]
<!DOCTYPE HTML>
<html lang="de">
<head>
<!-- Generated by javadoc (17) -->
<title>PerceptronTrainer (Apache OpenNLP Tools 2.3.3 API)</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="description" content="declaration: package: opennlp.tools.ml.perceptron, class: PerceptronTrainer">
<meta name="generator" content="javadoc/ClassWriterImpl">
<link rel="stylesheet" type="text/css" href="../../../../stylesheet.css" title="Style">
<link rel="stylesheet" type="text/css" href="../../../../script-dir/jquery-ui.min.css" title="Style">
<link rel="stylesheet" type="text/css" href="../../../../jquery-ui.overrides.css" title="Style">
<script type="text/javascript" src="../../../../script.js"></script>
<script type="text/javascript" src="../../../../script-dir/jquery-3.6.1.min.js"></script>
<script type="text/javascript" src="../../../../script-dir/jquery-ui.min.js"></script>
</head>
<body class="class-declaration-page">
<script type="text/javascript">var evenRowColor = "even-row-color";
var oddRowColor = "odd-row-color";
var tableTab = "table-tab";
var activeTableTab = "active-table-tab";
var pathtoroot = "../../../../";
loadScripts(document, 'script');</script>
<noscript>
<div>JavaScript is disabled on your browser.</div>
</noscript>
<div class="flex-box">
<header role="banner" class="flex-header">
<nav role="navigation">
<!-- ========= START OF TOP NAVBAR ======= -->
<div class="top-nav" id="navbar-top">
<div class="skip-nav"><a href="#skip-navbar-top" title="Skip navigation links">Skip navigation links</a></div>
<ul id="navbar-top-firstrow" class="nav-list" title="Navigation">
<li><a href="../../../../index.html">Overview</a></li>
<li><a href="package-summary.html">Package</a></li>
<li class="nav-bar-cell1-rev">Class</li>
<li><a href="package-tree.html">Tree</a></li>
<li><a href="../../../../deprecated-list.html">Deprecated</a></li>
<li><a href="../../../../index-all.html">Index</a></li>
<li><a href="../../../../help-doc.html#class">Help</a></li>
</ul>
</div>
<div class="sub-nav">
<div>
<ul class="sub-nav-list">
<li>Summary:&nbsp;</li>
<li>Nested&nbsp;|&nbsp;</li>
<li><a href="#field-summary">Field</a>&nbsp;|&nbsp;</li>
<li><a href="#constructor-summary">Constr</a>&nbsp;|&nbsp;</li>
<li><a href="#method-summary">Method</a></li>
</ul>
<ul class="sub-nav-list">
<li>Detail:&nbsp;</li>
<li><a href="#field-detail">Field</a>&nbsp;|&nbsp;</li>
<li><a href="#constructor-detail">Constr</a>&nbsp;|&nbsp;</li>
<li><a href="#method-detail">Method</a></li>
</ul>
</div>
<div class="nav-list-search"><label for="search-input">SEARCH:</label>
<input type="text" id="search-input" value="search" disabled="disabled">
<input type="reset" id="reset-button" value="reset" disabled="disabled">
</div>
</div>
<!-- ========= END OF TOP NAVBAR ========= -->
<span class="skip-nav" id="skip-navbar-top"></span></nav>
</header>
<div class="flex-content">
<main role="main">
<!-- ======== START OF CLASS DATA ======== -->
<div class="header">
<div class="sub-title"><span class="package-label-in-type">Package</span>&nbsp;<a href="package-summary.html">opennlp.tools.ml.perceptron</a></div>
<h1 title="Class PerceptronTrainer" class="title">Class PerceptronTrainer</h1>
</div>
<div class="inheritance" title="Inheritance Tree"><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html" title="class or interface in java.lang" class="external-link">java.lang.Object</a>
<div class="inheritance"><a href="../AbstractTrainer.html" title="class in opennlp.tools.ml">opennlp.tools.ml.AbstractTrainer</a>
<div class="inheritance"><a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">opennlp.tools.ml.AbstractEventTrainer</a>
<div class="inheritance">opennlp.tools.ml.perceptron.PerceptronTrainer</div>
</div>
</div>
</div>
<section class="class-description" id="class-description">
<dl class="notes">
<dt>All Implemented Interfaces:</dt>
<dd><code><a href="../../commons/Trainer.html" title="interface in opennlp.tools.commons">Trainer</a></code>, <code><a href="../EventTrainer.html" title="interface in opennlp.tools.ml">EventTrainer</a></code></dd>
</dl>
<hr>
<div class="type-signature"><span class="modifiers">public class </span><span class="element-name type-name-label">PerceptronTrainer</span>
<span class="extends-implements">extends <a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">AbstractEventTrainer</a></span></div>
<div class="block">Trains <a href="PerceptronModel.html" title="class in opennlp.tools.ml.perceptron"><code>models</code></a> using the perceptron algorithm.
<p>
Each outcome is represented as a binary perceptron classifier.
This supports standard (integer) weighting as well average weighting as described in:
<p>
Discriminative Training Methods for Hidden Markov Models: Theory and Experiments
with the Perceptron Algorithm. Michael Collins, EMNLP 2002.</div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="PerceptronModel.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronModel</code></a></li>
<li><a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml"><code>AbstractEventTrainer</code></a></li>
</ul>
</dd>
</dl>
</section>
<section class="summary">
<ul class="summary-list">
<!-- =========== FIELD SUMMARY =========== -->
<li>
<section class="field-summary" id="field-summary">
<h2>Field Summary</h2>
<div class="caption"><span>Fields</span></div>
<div class="summary-table three-column-summary">
<div class="table-header col-first">Modifier and Type</div>
<div class="table-header col-second">Field</div>
<div class="table-header col-last">Description</div>
<div class="col-first even-row-color"><code>static final <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/String.html" title="class or interface in java.lang" class="external-link">String</a></code></div>
<div class="col-second even-row-color"><code><a href="#PERCEPTRON_VALUE" class="member-name-link">PERCEPTRON_VALUE</a></code></div>
<div class="col-last even-row-color">&nbsp;</div>
<div class="col-first odd-row-color"><code>static final double</code></div>
<div class="col-second odd-row-color"><code><a href="#TOLERANCE_DEFAULT" class="member-name-link">TOLERANCE_DEFAULT</a></code></div>
<div class="col-last odd-row-color">&nbsp;</div>
</div>
<div class="inherited-list">
<h3 id="fields-inherited-from-class-opennlp.tools.ml.AbstractEventTrainer">Fields inherited from class&nbsp;opennlp.tools.ml.<a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">AbstractEventTrainer</a></h3>
<code><a href="../AbstractEventTrainer.html#DATA_INDEXER_ONE_PASS_REAL_VALUE">DATA_INDEXER_ONE_PASS_REAL_VALUE</a>, <a href="../AbstractEventTrainer.html#DATA_INDEXER_ONE_PASS_VALUE">DATA_INDEXER_ONE_PASS_VALUE</a>, <a href="../AbstractEventTrainer.html#DATA_INDEXER_PARAM">DATA_INDEXER_PARAM</a>, <a href="../AbstractEventTrainer.html#DATA_INDEXER_TWO_PASS_VALUE">DATA_INDEXER_TWO_PASS_VALUE</a></code></div>
<div class="inherited-list">
<h3 id="fields-inherited-from-class-opennlp.tools.ml.AbstractTrainer">Fields inherited from class&nbsp;opennlp.tools.ml.<a href="../AbstractTrainer.html" title="class in opennlp.tools.ml">AbstractTrainer</a></h3>
<code><a href="../AbstractTrainer.html#ALGORITHM_PARAM">ALGORITHM_PARAM</a>, <a href="../AbstractTrainer.html#CUTOFF_DEFAULT">CUTOFF_DEFAULT</a>, <a href="../AbstractTrainer.html#CUTOFF_PARAM">CUTOFF_PARAM</a>, <a href="../AbstractTrainer.html#ITERATIONS_DEFAULT">ITERATIONS_DEFAULT</a>, <a href="../AbstractTrainer.html#ITERATIONS_PARAM">ITERATIONS_PARAM</a>, <a href="../AbstractTrainer.html#TRAINER_TYPE_PARAM">TRAINER_TYPE_PARAM</a></code></div>
<div class="inherited-list">
<h3 id="fields-inherited-from-class-opennlp.tools.ml.EventTrainer">Fields inherited from interface&nbsp;opennlp.tools.ml.<a href="../EventTrainer.html" title="interface in opennlp.tools.ml">EventTrainer</a></h3>
<code><a href="../EventTrainer.html#EVENT_VALUE">EVENT_VALUE</a></code></div>
</section>
</li>
<!-- ======== CONSTRUCTOR SUMMARY ======== -->
<li>
<section class="constructor-summary" id="constructor-summary">
<h2>Constructor Summary</h2>
<div class="caption"><span>Constructors</span></div>
<div class="summary-table two-column-summary">
<div class="table-header col-first">Constructor</div>
<div class="table-header col-last">Description</div>
<div class="col-constructor-name even-row-color"><code><a href="#%3Cinit%3E()" class="member-name-link">PerceptronTrainer</a>()</code></div>
<div class="col-last even-row-color">
<div class="block">Instantiates a <a href="PerceptronTrainer.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronTrainer</code></a> with default training parameters.</div>
</div>
<div class="col-constructor-name odd-row-color"><code><a href="#%3Cinit%3E(opennlp.tools.util.TrainingParameters)" class="member-name-link">PerceptronTrainer</a><wbr>(<a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util">TrainingParameters</a>&nbsp;parameters)</code></div>
<div class="col-last odd-row-color">
<div class="block">Instantiates a <a href="PerceptronTrainer.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronTrainer</code></a> with specific
<a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util"><code>TrainingParameters</code></a>.</div>
</div>
</div>
</section>
</li>
<!-- ========== METHOD SUMMARY =========== -->
<li>
<section class="method-summary" id="method-summary">
<h2>Method Summary</h2>
<div id="method-summary-table">
<div class="table-tabs" role="tablist" aria-orientation="horizontal"><button id="method-summary-table-tab0" role="tab" aria-selected="true" aria-controls="method-summary-table.tabpanel" tabindex="0" onkeydown="switchTab(event)" onclick="show('method-summary-table', 'method-summary-table', 3)" class="active-table-tab">All Methods</button><button id="method-summary-table-tab2" role="tab" aria-selected="false" aria-controls="method-summary-table.tabpanel" tabindex="-1" onkeydown="switchTab(event)" onclick="show('method-summary-table', 'method-summary-table-tab2', 3)" class="table-tab">Instance Methods</button><button id="method-summary-table-tab4" role="tab" aria-selected="false" aria-controls="method-summary-table.tabpanel" tabindex="-1" onkeydown="switchTab(event)" onclick="show('method-summary-table', 'method-summary-table-tab4', 3)" class="table-tab">Concrete Methods</button></div>
<div id="method-summary-table.tabpanel" role="tabpanel">
<div class="summary-table three-column-summary" aria-labelledby="method-summary-table-tab0">
<div class="table-header col-first">Modifier and Type</div>
<div class="table-header col-second">Method</div>
<div class="table-header col-last">Description</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model">AbstractModel</a></code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#doTrain(opennlp.tools.ml.model.DataIndexer)" class="member-name-link">doTrain</a><wbr>(<a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model">DataIndexer</a>&nbsp;indexer)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">&nbsp;</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>boolean</code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#isSortAndMerge()" class="member-name-link">isSortAndMerge</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">&nbsp;</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>void</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#setSkippedAveraging(boolean)" class="member-name-link">setSkippedAveraging</a><wbr>(boolean&nbsp;averaging)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Enables skipped averaging, this flag changes the standard
averaging to special averaging instead.</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>void</code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#setStepSizeDecrease(double)" class="member-name-link">setStepSizeDecrease</a><wbr>(double&nbsp;decrease)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Enables and sets step size decrease.</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>void</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#setTolerance(double)" class="member-name-link">setTolerance</a><wbr>(double&nbsp;tolerance)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Specifies the tolerance.</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model">AbstractModel</a></code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#trainModel(int,opennlp.tools.ml.model.DataIndexer,int)" class="member-name-link">trainModel</a><wbr>(int&nbsp;iterations,
<a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model">DataIndexer</a>&nbsp;di,
int&nbsp;cutoff)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Trains a <a href="PerceptronModel.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronModel</code></a> with given parameters.</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model">AbstractModel</a></code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#trainModel(int,opennlp.tools.ml.model.DataIndexer,int,boolean)" class="member-name-link">trainModel</a><wbr>(int&nbsp;iterations,
<a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model">DataIndexer</a>&nbsp;di,
int&nbsp;cutoff,
boolean&nbsp;useAverage)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Trains a <a href="PerceptronModel.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronModel</code></a> with given parameters.</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>void</code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#validate()" class="member-name-link">validate</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Checks the configured <a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util"><code>parameters</code></a>.</div>
</div>
</div>
</div>
</div>
<div class="inherited-list">
<h3 id="methods-inherited-from-class-opennlp.tools.ml.AbstractEventTrainer">Methods inherited from class&nbsp;opennlp.tools.ml.<a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">AbstractEventTrainer</a></h3>
<code><a href="../AbstractEventTrainer.html#getDataIndexer(opennlp.tools.util.ObjectStream)">getDataIndexer</a>, <a href="../AbstractEventTrainer.html#train(opennlp.tools.ml.model.DataIndexer)">train</a>, <a href="../AbstractEventTrainer.html#train(opennlp.tools.util.ObjectStream)">train</a></code></div>
<div class="inherited-list">
<h3 id="methods-inherited-from-class-opennlp.tools.ml.AbstractTrainer">Methods inherited from class&nbsp;opennlp.tools.ml.<a href="../AbstractTrainer.html" title="class in opennlp.tools.ml">AbstractTrainer</a></h3>
<code><a href="../AbstractTrainer.html#getAlgorithm()">getAlgorithm</a>, <a href="../AbstractTrainer.html#getCutoff()">getCutoff</a>, <a href="../AbstractTrainer.html#getIterations()">getIterations</a>, <a href="../AbstractTrainer.html#init(opennlp.tools.util.TrainingParameters,java.util.Map)">init</a></code></div>
<div class="inherited-list">
<h3 id="methods-inherited-from-class-java.lang.Object">Methods inherited from class&nbsp;java.lang.<a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html" title="class or interface in java.lang" class="external-link">Object</a></h3>
<code><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#equals(java.lang.Object)" title="class or interface in java.lang" class="external-link">equals</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#getClass()" title="class or interface in java.lang" class="external-link">getClass</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#hashCode()" title="class or interface in java.lang" class="external-link">hashCode</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#notify()" title="class or interface in java.lang" class="external-link">notify</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#notifyAll()" title="class or interface in java.lang" class="external-link">notifyAll</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#toString()" title="class or interface in java.lang" class="external-link">toString</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#wait()" title="class or interface in java.lang" class="external-link">wait</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#wait(long)" title="class or interface in java.lang" class="external-link">wait</a>, <a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/Object.html#wait(long,int)" title="class or interface in java.lang" class="external-link">wait</a></code></div>
<div class="inherited-list">
<h3 id="methods-inherited-from-class-opennlp.tools.commons.Trainer">Methods inherited from interface&nbsp;opennlp.tools.commons.<a href="../../commons/Trainer.html" title="interface in opennlp.tools.commons">Trainer</a></h3>
<code><a href="../../commons/Trainer.html#init(opennlp.tools.util.TrainingParameters,java.util.Map)">init</a></code></div>
</section>
</li>
</ul>
</section>
<section class="details">
<ul class="details-list">
<!-- ============ FIELD DETAIL =========== -->
<li>
<section class="field-details" id="field-detail">
<h2>Field Details</h2>
<ul class="member-list">
<li>
<section class="detail" id="PERCEPTRON_VALUE">
<h3>PERCEPTRON_VALUE</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type"><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/String.html" title="class or interface in java.lang" class="external-link">String</a></span>&nbsp;<span class="element-name">PERCEPTRON_VALUE</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../../constant-values.html#opennlp.tools.ml.perceptron.PerceptronTrainer.PERCEPTRON_VALUE">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="TOLERANCE_DEFAULT">
<h3>TOLERANCE_DEFAULT</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">double</span>&nbsp;<span class="element-name">TOLERANCE_DEFAULT</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../../constant-values.html#opennlp.tools.ml.perceptron.PerceptronTrainer.TOLERANCE_DEFAULT">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
</ul>
</section>
</li>
<!-- ========= CONSTRUCTOR DETAIL ======== -->
<li>
<section class="constructor-details" id="constructor-detail">
<h2>Constructor Details</h2>
<ul class="member-list">
<li>
<section class="detail" id="&lt;init&gt;()">
<h3>PerceptronTrainer</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="element-name">PerceptronTrainer</span>()</div>
<div class="block">Instantiates a <a href="PerceptronTrainer.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronTrainer</code></a> with default training parameters.</div>
</section>
</li>
<li>
<section class="detail" id="&lt;init&gt;(opennlp.tools.util.TrainingParameters)">
<h3>PerceptronTrainer</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="element-name">PerceptronTrainer</span><wbr><span class="parameters">(<a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util">TrainingParameters</a>&nbsp;parameters)</span></div>
<div class="block">Instantiates a <a href="PerceptronTrainer.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronTrainer</code></a> with specific
<a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util"><code>TrainingParameters</code></a>.</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>parameters</code> - The <a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util"><code>parameter</code></a> to use.</dd>
</dl>
</section>
</li>
</ul>
</section>
</li>
<!-- ============ METHOD DETAIL ========== -->
<li>
<section class="method-details" id="method-detail">
<h2>Method Details</h2>
<ul class="member-list">
<li>
<section class="detail" id="validate()">
<h3>validate</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">validate</span>()</div>
<div class="block">Checks the configured <a href="../../util/TrainingParameters.html" title="class in opennlp.tools.util"><code>parameters</code></a>.
If a subclass overrides this, it should call <code>super.validate();</code>.</div>
<dl class="notes">
<dt>Overrides:</dt>
<dd><code><a href="../AbstractEventTrainer.html#validate()">validate</a></code>&nbsp;in class&nbsp;<code><a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">AbstractEventTrainer</a></code></dd>
<dt>Throws:</dt>
<dd><code><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/IllegalArgumentException.html" title="class or interface in java.lang" class="external-link">IllegalArgumentException</a></code> - Thrown if the algorithm name is not equal to
{<a href="#PERCEPTRON_VALUE"><code>PERCEPTRON_VALUE</code></a>}.</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="isSortAndMerge()">
<h3>isSortAndMerge</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">isSortAndMerge</span>()</div>
<dl class="notes">
<dt>Specified by:</dt>
<dd><code><a href="../AbstractEventTrainer.html#isSortAndMerge()">isSortAndMerge</a></code>&nbsp;in class&nbsp;<code><a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">AbstractEventTrainer</a></code></dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="doTrain(opennlp.tools.ml.model.DataIndexer)">
<h3>doTrain</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type"><a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model">AbstractModel</a></span>&nbsp;<span class="element-name">doTrain</span><wbr><span class="parameters">(<a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model">DataIndexer</a>&nbsp;indexer)</span>
throws <span class="exceptions"><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/io/IOException.html" title="class or interface in java.io" class="external-link">IOException</a></span></div>
<dl class="notes">
<dt>Specified by:</dt>
<dd><code><a href="../AbstractEventTrainer.html#doTrain(opennlp.tools.ml.model.DataIndexer)">doTrain</a></code>&nbsp;in class&nbsp;<code><a href="../AbstractEventTrainer.html" title="class in opennlp.tools.ml">AbstractEventTrainer</a></code></dd>
<dt>Throws:</dt>
<dd><code><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/io/IOException.html" title="class or interface in java.io" class="external-link">IOException</a></code></dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setTolerance(double)">
<h3>setTolerance</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setTolerance</span><wbr><span class="parameters">(double&nbsp;tolerance)</span></div>
<div class="block">Specifies the tolerance. If the change in training set accuracy
is less than this, stop iterating.</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>tolerance</code> - The level of tolerance.
Must not be negative.</dd>
<dt>Throws:</dt>
<dd><code><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/IllegalArgumentException.html" title="class or interface in java.lang" class="external-link">IllegalArgumentException</a></code> - Thrown if parameters are invalid.</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setStepSizeDecrease(double)">
<h3>setStepSizeDecrease</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setStepSizeDecrease</span><wbr><span class="parameters">(double&nbsp;decrease)</span></div>
<div class="block">Enables and sets step size decrease. The step size is
decreased every iteration by the specified value.</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>decrease</code> - The step size decrease in percent.
Must not be negative.</dd>
<dt>Throws:</dt>
<dd><code><a href="https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/lang/IllegalArgumentException.html" title="class or interface in java.lang" class="external-link">IllegalArgumentException</a></code> - Thrown if parameters are invalid.</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setSkippedAveraging(boolean)">
<h3>setSkippedAveraging</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setSkippedAveraging</span><wbr><span class="parameters">(boolean&nbsp;averaging)</span></div>
<div class="block">Enables skipped averaging, this flag changes the standard
averaging to special averaging instead.
<p>
If we are doing averaging, and the current iteration is one
of the first 20, or if it is a perfect square, then updated the
summed parameters.
<p>
The reason we don't take all of them is that the parameters change
less toward the end of training, so they drown out the contributions
of the more volatile early iterations. The use of perfect
squares allows us to sample from successively farther apart iterations.</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>averaging</code> - Whether to skip 'averaging', or not.</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="trainModel(int,opennlp.tools.ml.model.DataIndexer,int)">
<h3>trainModel</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type"><a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model">AbstractModel</a></span>&nbsp;<span class="element-name">trainModel</span><wbr><span class="parameters">(int&nbsp;iterations,
<a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model">DataIndexer</a>&nbsp;di,
int&nbsp;cutoff)</span></div>
<div class="block">Trains a <a href="PerceptronModel.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronModel</code></a> with given parameters.</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>iterations</code> - The number of iterations to use for training.</dd>
<dd><code>di</code> - The <a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model"><code>DataIndexer</code></a> used as data input.</dd>
<dd><code>cutoff</code> - The {<a href="../AbstractTrainer.html#CUTOFF_PARAM"><code>AbstractTrainer.CUTOFF_PARAM</code></a>} value to use for training.</dd>
<dt>Returns:</dt>
<dd>A valid, trained <a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model"><code>perceptron model</code></a>.</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="trainModel(int,opennlp.tools.ml.model.DataIndexer,int,boolean)">
<h3>trainModel</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type"><a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model">AbstractModel</a></span>&nbsp;<span class="element-name">trainModel</span><wbr><span class="parameters">(int&nbsp;iterations,
<a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model">DataIndexer</a>&nbsp;di,
int&nbsp;cutoff,
boolean&nbsp;useAverage)</span></div>
<div class="block">Trains a <a href="PerceptronModel.html" title="class in opennlp.tools.ml.perceptron"><code>PerceptronModel</code></a> with given parameters.</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>iterations</code> - The number of iterations to use for training.</dd>
<dd><code>di</code> - The <a href="../model/DataIndexer.html" title="interface in opennlp.tools.ml.model"><code>DataIndexer</code></a> used as data input.</dd>
<dd><code>cutoff</code> - The {<a href="../AbstractTrainer.html#CUTOFF_PARAM"><code>AbstractTrainer.CUTOFF_PARAM</code></a>} value to use for training.</dd>
<dd><code>useAverage</code> - Whether to use 'averaging', or not.
See {<a href="#setSkippedAveraging(boolean)"><code>setSkippedAveraging(boolean)</code></a>} for details.</dd>
<dt>Returns:</dt>
<dd>A valid, trained <a href="../model/AbstractModel.html" title="class in opennlp.tools.ml.model"><code>perceptron model</code></a>.</dd>
</dl>
</section>
</li>
</ul>
</section>
</li>
</ul>
</section>
<!-- ========= END OF CLASS DATA ========= -->
</main>
<footer role="contentinfo">
<hr>
<p class="legal-copy"><small>Copyright &#169; 2023 <a href="https://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</small></p>
</footer>
</div>
</div>
</body>
</html>