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<title>StatModel (OpenCV 4.12.0 Java documentation)</title>
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<div class="sub-title"><span class="package-label-in-type">Package</span>&nbsp;<a href="package-summary.html">org.opencv.ml</a></div>
<h1 title="Class StatModel" class="title">Class StatModel</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="../core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a>
<div class="inheritance">org.opencv.ml.StatModel</div>
</div>
</div>
<section class="class-description" id="class-description">
<dl class="notes">
<dt>Direct Known Subclasses:</dt>
<dd><code><a href="ANN_MLP.html" title="class in org.opencv.ml">ANN_MLP</a></code>, <code><a href="DTrees.html" title="class in org.opencv.ml">DTrees</a></code>, <code><a href="EM.html" title="class in org.opencv.ml">EM</a></code>, <code><a href="KNearest.html" title="class in org.opencv.ml">KNearest</a></code>, <code><a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code>, <code><a href="NormalBayesClassifier.html" title="class in org.opencv.ml">NormalBayesClassifier</a></code>, <code><a href="SVM.html" title="class in org.opencv.ml">SVM</a></code>, <code><a href="SVMSGD.html" title="class in org.opencv.ml">SVMSGD</a></code></dd>
</dl>
<hr>
<div class="type-signature"><span class="modifiers">public class </span><span class="element-name type-name-label">StatModel</span>
<span class="extends-implements">extends <a href="../core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></span></div>
<div class="block">Base class for statistical models in OpenCV ML.</div>
</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 int</code></div>
<div class="col-second even-row-color"><code><a href="#COMPRESSED_INPUT" class="member-name-link">COMPRESSED_INPUT</a></code></div>
<div class="col-last even-row-color">&nbsp;</div>
<div class="col-first odd-row-color"><code>static final int</code></div>
<div class="col-second odd-row-color"><code><a href="#PREPROCESSED_INPUT" class="member-name-link">PREPROCESSED_INPUT</a></code></div>
<div class="col-last odd-row-color">&nbsp;</div>
<div class="col-first even-row-color"><code>static final int</code></div>
<div class="col-second even-row-color"><code><a href="#RAW_OUTPUT" class="member-name-link">RAW_OUTPUT</a></code></div>
<div class="col-last even-row-color">&nbsp;</div>
<div class="col-first odd-row-color"><code>static final int</code></div>
<div class="col-second odd-row-color"><code><a href="#UPDATE_MODEL" class="member-name-link">UPDATE_MODEL</a></code></div>
<div class="col-last odd-row-color">&nbsp;</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-tab1" role="tab" aria-selected="false" aria-controls="method-summary-table.tabpanel" tabindex="-1" onkeydown="switchTab(event)" onclick="show('method-summary-table', 'method-summary-table-tab1', 3)" class="table-tab">Static 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" aria-labelledby="method-summary-table-tab0">
<div class="summary-table three-column-summary">
<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-tab1 method-summary-table-tab4"><code>static <a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4"><code><a href="#__fromPtr__(long)" class="member-name-link">__fromPtr__</a><wbr>(long&nbsp;addr)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab1 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>float</code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#calcError(org.opencv.ml.TrainData,boolean,org.opencv.core.Mat)" class="member-name-link">calcError</a><wbr>(<a href="TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;data,
boolean&nbsp;test,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;resp)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Computes error on the training or test dataset</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>boolean</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#empty()" class="member-name-link">empty</a>()</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Returns true if the Algorithm is empty (e.g.</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>int</code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#getVarCount()" class="member-name-link">getVarCount</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Returns the number of variables in training samples</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>boolean</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#isClassifier()" class="member-name-link">isClassifier</a>()</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Returns true if the model is classifier</div>
</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="#isTrained()" class="member-name-link">isTrained</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Returns true if the model is trained</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>float</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#predict(org.opencv.core.Mat)" class="member-name-link">predict</a><wbr>(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Predicts response(s) for the provided sample(s)</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>float</code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#predict(org.opencv.core.Mat,org.opencv.core.Mat)" class="member-name-link">predict</a><wbr>(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Predicts response(s) for the provided sample(s)</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>float</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#predict(org.opencv.core.Mat,org.opencv.core.Mat,int)" class="member-name-link">predict</a><wbr>(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results,
int&nbsp;flags)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Predicts response(s) for the provided sample(s)</div>
</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="#train(org.opencv.core.Mat,int,org.opencv.core.Mat)" class="member-name-link">train</a><wbr>(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
int&nbsp;layout,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;responses)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Trains the statistical model</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>boolean</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#train(org.opencv.ml.TrainData)" class="member-name-link">train</a><wbr>(<a href="TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Trains the statistical model</div>
</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="#train(org.opencv.ml.TrainData,int)" class="member-name-link">train</a><wbr>(<a href="TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData,
int&nbsp;flags)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Trains the statistical model</div>
</div>
</div>
</div>
</div>
<div class="inherited-list">
<h3 id="methods-inherited-from-class-org.opencv.core.Algorithm">Methods inherited from class&nbsp;org.opencv.core.<a href="../core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></h3>
<code><a href="../core/Algorithm.html#clear()">clear</a>, <a href="../core/Algorithm.html#getDefaultName()">getDefaultName</a>, <a href="../core/Algorithm.html#getNativeObjAddr()">getNativeObjAddr</a>, <a href="../core/Algorithm.html#save(java.lang.String)">save</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>
</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="UPDATE_MODEL">
<h3>UPDATE_MODEL</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">UPDATE_MODEL</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.StatModel.UPDATE_MODEL">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="RAW_OUTPUT">
<h3>RAW_OUTPUT</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">RAW_OUTPUT</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.StatModel.RAW_OUTPUT">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="COMPRESSED_INPUT">
<h3>COMPRESSED_INPUT</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">COMPRESSED_INPUT</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.StatModel.COMPRESSED_INPUT">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="PREPROCESSED_INPUT">
<h3>PREPROCESSED_INPUT</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">PREPROCESSED_INPUT</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.StatModel.PREPROCESSED_INPUT">Constant Field Values</a></li>
</ul>
</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="__fromPtr__(long)">
<h3>__fromPtr__</h3>
<div class="member-signature"><span class="modifiers">public static</span>&nbsp;<span class="return-type"><a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></span>&nbsp;<span class="element-name">__fromPtr__</span><wbr><span class="parameters">(long&nbsp;addr)</span></div>
</section>
</li>
<li>
<section class="detail" id="getVarCount()">
<h3>getVarCount</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">getVarCount</span>()</div>
<div class="block">Returns the number of variables in training samples</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="empty()">
<h3>empty</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">empty</span>()</div>
<div class="block"><span class="descfrm-type-label">Description copied from class:&nbsp;<code><a href="../core/Algorithm.html#empty()">Algorithm</a></code></span></div>
<div class="block">Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read</div>
<dl class="notes">
<dt>Overrides:</dt>
<dd><code><a href="../core/Algorithm.html#empty()">empty</a></code>&nbsp;in class&nbsp;<code><a href="../core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></code></dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="isTrained()">
<h3>isTrained</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">isTrained</span>()</div>
<div class="block">Returns true if the model is trained</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="isClassifier()">
<h3>isClassifier</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">isClassifier</span>()</div>
<div class="block">Returns true if the model is classifier</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="train(org.opencv.ml.TrainData,int)">
<h3>train</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">train</span><wbr><span class="parameters">(<a href="TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData,
int&nbsp;flags)</span></div>
<div class="block">Trains the statistical model</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>trainData</code> - training data that can be loaded from file using TrainData::loadFromCSV or
created with TrainData::create.</dd>
<dd><code>flags</code> - optional flags, depending on the model. Some of the models can be updated with the
new training samples, not completely overwritten (such as NormalBayesClassifier or ANN_MLP).</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="train(org.opencv.ml.TrainData)">
<h3>train</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">train</span><wbr><span class="parameters">(<a href="TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData)</span></div>
<div class="block">Trains the statistical model</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>trainData</code> - training data that can be loaded from file using TrainData::loadFromCSV or
created with TrainData::create.
new training samples, not completely overwritten (such as NormalBayesClassifier or ANN_MLP).</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="train(org.opencv.core.Mat,int,org.opencv.core.Mat)">
<h3>train</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">boolean</span>&nbsp;<span class="element-name">train</span><wbr><span class="parameters">(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
int&nbsp;layout,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;responses)</span></div>
<div class="block">Trains the statistical model</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>samples</code> - training samples</dd>
<dd><code>layout</code> - See ml::SampleTypes.</dd>
<dd><code>responses</code> - vector of responses associated with the training samples.</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="calcError(org.opencv.ml.TrainData,boolean,org.opencv.core.Mat)">
<h3>calcError</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">float</span>&nbsp;<span class="element-name">calcError</span><wbr><span class="parameters">(<a href="TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;data,
boolean&nbsp;test,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;resp)</span></div>
<div class="block">Computes error on the training or test dataset</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>data</code> - the training data</dd>
<dd><code>test</code> - if true, the error is computed over the test subset of the data, otherwise it's
computed over the training subset of the data. Please note that if you loaded a completely
different dataset to evaluate already trained classifier, you will probably want not to set
the test subset at all with TrainData::setTrainTestSplitRatio and specify test=false, so
that the error is computed for the whole new set. Yes, this sounds a bit confusing.</dd>
<dd><code>resp</code> - the optional output responses.
The method uses StatModel::predict to compute the error. For regression models the error is
computed as RMS, for classifiers - as a percent of missclassified samples (0%-100%).</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="predict(org.opencv.core.Mat,org.opencv.core.Mat,int)">
<h3>predict</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">float</span>&nbsp;<span class="element-name">predict</span><wbr><span class="parameters">(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results,
int&nbsp;flags)</span></div>
<div class="block">Predicts response(s) for the provided sample(s)</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>samples</code> - The input samples, floating-point matrix</dd>
<dd><code>results</code> - The optional output matrix of results.</dd>
<dd><code>flags</code> - The optional flags, model-dependent. See cv::ml::StatModel::Flags.</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="predict(org.opencv.core.Mat,org.opencv.core.Mat)">
<h3>predict</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">float</span>&nbsp;<span class="element-name">predict</span><wbr><span class="parameters">(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results)</span></div>
<div class="block">Predicts response(s) for the provided sample(s)</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>samples</code> - The input samples, floating-point matrix</dd>
<dd><code>results</code> - The optional output matrix of results.</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="predict(org.opencv.core.Mat)">
<h3>predict</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">float</span>&nbsp;<span class="element-name">predict</span><wbr><span class="parameters">(<a href="../core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples)</span></div>
<div class="block">Predicts response(s) for the provided sample(s)</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>samples</code> - The input samples, floating-point matrix</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
</ul>
</section>
</li>
</ul>
</section>
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