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<title>LogisticRegression (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 LogisticRegression" class="title">Class LogisticRegression</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"><a href="StatModel.html" title="class in org.opencv.ml">org.opencv.ml.StatModel</a>
<div class="inheritance">org.opencv.ml.LogisticRegression</div>
</div>
</div>
</div>
<section class="class-description" id="class-description">
<hr>
<div class="type-signature"><span class="modifiers">public class </span><span class="element-name type-name-label">LogisticRegression</span>
<span class="extends-implements">extends <a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></span></div>
<div class="block">Implements Logistic Regression classifier.
SEE: REF: ml_intro_lr</div>
</section>
<section class="summary">
<ul class="summary-list">
<!-- =========== FIELD SUMMARY =========== -->
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<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="#BATCH" class="member-name-link">BATCH</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="#MINI_BATCH" class="member-name-link">MINI_BATCH</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="#REG_DISABLE" class="member-name-link">REG_DISABLE</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="#REG_L1" class="member-name-link">REG_L1</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="#REG_L2" class="member-name-link">REG_L2</a></code></div>
<div class="col-last even-row-color">&nbsp;</div>
</div>
<div class="inherited-list">
<h3 id="fields-inherited-from-class-org.opencv.ml.StatModel">Fields inherited from class&nbsp;org.opencv.ml.<a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></h3>
<code><a href="StatModel.html#COMPRESSED_INPUT">COMPRESSED_INPUT</a>, <a href="StatModel.html#PREPROCESSED_INPUT">PREPROCESSED_INPUT</a>, <a href="StatModel.html#RAW_OUTPUT">RAW_OUTPUT</a>, <a href="StatModel.html#UPDATE_MODEL">UPDATE_MODEL</a></code></div>
</section>
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<!-- ========== METHOD SUMMARY =========== -->
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<h2>Method Summary</h2>
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<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="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</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-tab1 method-summary-table-tab4"><code>static <a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4"><code><a href="#create()" class="member-name-link">create</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4">
<div class="block">Creates empty model.</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="../core/Mat.html" title="class in org.opencv.core">Mat</a></code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#get_learnt_thetas()" class="member-name-link">get_learnt_thetas</a>()</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">This function returns the trained parameters arranged across rows.</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="#getIterations()" class="member-name-link">getIterations</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">SEE: setIterations</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>double</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#getLearningRate()" class="member-name-link">getLearningRate</a>()</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">SEE: setLearningRate</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="#getMiniBatchSize()" class="member-name-link">getMiniBatchSize</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">SEE: setMiniBatchSize</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>int</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#getRegularization()" class="member-name-link">getRegularization</a>()</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">SEE: setRegularization</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="../core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a></code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#getTermCriteria()" class="member-name-link">getTermCriteria</a>()</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">SEE: setTermCriteria</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code>int</code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4"><code><a href="#getTrainMethod()" class="member-name-link">getTrainMethod</a>()</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">SEE: setTrainMethod</div>
</div>
<div class="col-first odd-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4"><code>static <a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></div>
<div class="col-second odd-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4"><code><a href="#load(java.lang.String)" class="member-name-link">load</a><wbr>(<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>&nbsp;filepath)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4">
<div class="block">Loads and creates a serialized LogisticRegression from a file
Use LogisticRegression::save to serialize and store an LogisticRegression to disk.</div>
</div>
<div class="col-first even-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4"><code>static <a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></div>
<div class="col-second even-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4"><code><a href="#load(java.lang.String,java.lang.String)" class="member-name-link">load</a><wbr>(<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>&nbsp;filepath,
<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>&nbsp;nodeName)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab1 method-summary-table-tab4">
<div class="block">Loads and creates a serialized LogisticRegression from a file
Use LogisticRegression::save to serialize and store an LogisticRegression to disk.</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)" 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 odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Predicts responses for input samples and returns a float type.</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)" 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 even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Predicts responses for input samples and returns a float type.</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,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 odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">Predicts responses for input samples and returns a float type.</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="#setIterations(int)" class="member-name-link">setIterations</a><wbr>(int&nbsp;val)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">getIterations SEE: getIterations</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="#setLearningRate(double)" class="member-name-link">setLearningRate</a><wbr>(double&nbsp;val)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">getLearningRate SEE: getLearningRate</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="#setMiniBatchSize(int)" class="member-name-link">setMiniBatchSize</a><wbr>(int&nbsp;val)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">getMiniBatchSize SEE: getMiniBatchSize</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="#setRegularization(int)" class="member-name-link">setRegularization</a><wbr>(int&nbsp;val)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">getRegularization SEE: getRegularization</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="#setTermCriteria(org.opencv.core.TermCriteria)" class="member-name-link">setTermCriteria</a><wbr>(<a href="../core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;val)</code></div>
<div class="col-last even-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">getTermCriteria SEE: getTermCriteria</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="#setTrainMethod(int)" class="member-name-link">setTrainMethod</a><wbr>(int&nbsp;val)</code></div>
<div class="col-last odd-row-color method-summary-table method-summary-table-tab2 method-summary-table-tab4">
<div class="block">getTrainMethod SEE: getTrainMethod</div>
</div>
</div>
</div>
</div>
<div class="inherited-list">
<h3 id="methods-inherited-from-class-org.opencv.ml.StatModel">Methods inherited from class&nbsp;org.opencv.ml.<a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></h3>
<code><a href="StatModel.html#calcError(org.opencv.ml.TrainData,boolean,org.opencv.core.Mat)">calcError</a>, <a href="StatModel.html#empty()">empty</a>, <a href="StatModel.html#getVarCount()">getVarCount</a>, <a href="StatModel.html#isClassifier()">isClassifier</a>, <a href="StatModel.html#isTrained()">isTrained</a>, <a href="StatModel.html#train(org.opencv.core.Mat,int,org.opencv.core.Mat)">train</a>, <a href="StatModel.html#train(org.opencv.ml.TrainData)">train</a>, <a href="StatModel.html#train(org.opencv.ml.TrainData,int)">train</a></code></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="BATCH">
<h3>BATCH</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">BATCH</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.BATCH">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="MINI_BATCH">
<h3>MINI_BATCH</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">MINI_BATCH</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.MINI_BATCH">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="REG_DISABLE">
<h3>REG_DISABLE</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">REG_DISABLE</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.REG_DISABLE">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="REG_L1">
<h3>REG_L1</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">REG_L1</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.REG_L1">Constant Field Values</a></li>
</ul>
</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="REG_L2">
<h3>REG_L2</h3>
<div class="member-signature"><span class="modifiers">public static final</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">REG_L2</span></div>
<dl class="notes">
<dt>See Also:</dt>
<dd>
<ul class="see-list">
<li><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.REG_L2">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="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</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="getLearningRate()">
<h3>getLearningRate</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">double</span>&nbsp;<span class="element-name">getLearningRate</span>()</div>
<div class="block">SEE: setLearningRate</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setLearningRate(double)">
<h3>setLearningRate</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setLearningRate</span><wbr><span class="parameters">(double&nbsp;val)</span></div>
<div class="block">getLearningRate SEE: getLearningRate</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="getIterations()">
<h3>getIterations</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">getIterations</span>()</div>
<div class="block">SEE: setIterations</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setIterations(int)">
<h3>setIterations</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setIterations</span><wbr><span class="parameters">(int&nbsp;val)</span></div>
<div class="block">getIterations SEE: getIterations</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="getRegularization()">
<h3>getRegularization</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">getRegularization</span>()</div>
<div class="block">SEE: setRegularization</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setRegularization(int)">
<h3>setRegularization</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setRegularization</span><wbr><span class="parameters">(int&nbsp;val)</span></div>
<div class="block">getRegularization SEE: getRegularization</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="getTrainMethod()">
<h3>getTrainMethod</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">getTrainMethod</span>()</div>
<div class="block">SEE: setTrainMethod</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setTrainMethod(int)">
<h3>setTrainMethod</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setTrainMethod</span><wbr><span class="parameters">(int&nbsp;val)</span></div>
<div class="block">getTrainMethod SEE: getTrainMethod</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="getMiniBatchSize()">
<h3>getMiniBatchSize</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">int</span>&nbsp;<span class="element-name">getMiniBatchSize</span>()</div>
<div class="block">SEE: setMiniBatchSize</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setMiniBatchSize(int)">
<h3>setMiniBatchSize</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setMiniBatchSize</span><wbr><span class="parameters">(int&nbsp;val)</span></div>
<div class="block">getMiniBatchSize SEE: getMiniBatchSize</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="getTermCriteria()">
<h3>getTermCriteria</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type"><a href="../core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a></span>&nbsp;<span class="element-name">getTermCriteria</span>()</div>
<div class="block">SEE: setTermCriteria</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="setTermCriteria(org.opencv.core.TermCriteria)">
<h3>setTermCriteria</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type">void</span>&nbsp;<span class="element-name">setTermCriteria</span><wbr><span class="parameters">(<a href="../core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;val)</span></div>
<div class="block">getTermCriteria SEE: getTermCriteria</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>val</code> - 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 responses for input samples and returns a float type.</div>
<dl class="notes">
<dt>Overrides:</dt>
<dd><code><a href="StatModel.html#predict(org.opencv.core.Mat,org.opencv.core.Mat,int)">predict</a></code>&nbsp;in class&nbsp;<code><a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></code></dd>
<dt>Parameters:</dt>
<dd><code>samples</code> - The input data for the prediction algorithm. Matrix [m x n], where each row
contains variables (features) of one object being classified. Should have data type CV_32F.</dd>
<dd><code>results</code> - Predicted labels as a column matrix of type CV_32S.</dd>
<dd><code>flags</code> - Not used.</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 responses for input samples and returns a float type.</div>
<dl class="notes">
<dt>Overrides:</dt>
<dd><code><a href="StatModel.html#predict(org.opencv.core.Mat,org.opencv.core.Mat)">predict</a></code>&nbsp;in class&nbsp;<code><a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></code></dd>
<dt>Parameters:</dt>
<dd><code>samples</code> - The input data for the prediction algorithm. Matrix [m x n], where each row
contains variables (features) of one object being classified. Should have data type CV_32F.</dd>
<dd><code>results</code> - Predicted labels as a column matrix of type CV_32S.</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 responses for input samples and returns a float type.</div>
<dl class="notes">
<dt>Overrides:</dt>
<dd><code><a href="StatModel.html#predict(org.opencv.core.Mat)">predict</a></code>&nbsp;in class&nbsp;<code><a href="StatModel.html" title="class in org.opencv.ml">StatModel</a></code></dd>
<dt>Parameters:</dt>
<dd><code>samples</code> - The input data for the prediction algorithm. Matrix [m x n], where each row
contains variables (features) of one object being classified. Should have data type CV_32F.</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="get_learnt_thetas()">
<h3>get_learnt_thetas</h3>
<div class="member-signature"><span class="modifiers">public</span>&nbsp;<span class="return-type"><a href="../core/Mat.html" title="class in org.opencv.core">Mat</a></span>&nbsp;<span class="element-name">get_learnt_thetas</span>()</div>
<div class="block">This function returns the trained parameters arranged across rows.
For a two class classification problem, it returns a row matrix. It returns learnt parameters of
the Logistic Regression as a matrix of type CV_32F.</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="create()">
<h3>create</h3>
<div class="member-signature"><span class="modifiers">public static</span>&nbsp;<span class="return-type"><a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></span>&nbsp;<span class="element-name">create</span>()</div>
<div class="block">Creates empty model.
Creates Logistic Regression model with parameters given.</div>
<dl class="notes">
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="load(java.lang.String,java.lang.String)">
<h3>load</h3>
<div class="member-signature"><span class="modifiers">public static</span>&nbsp;<span class="return-type"><a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></span>&nbsp;<span class="element-name">load</span><wbr><span class="parameters">(<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>&nbsp;filepath,
<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>&nbsp;nodeName)</span></div>
<div class="block">Loads and creates a serialized LogisticRegression from a file
Use LogisticRegression::save to serialize and store an LogisticRegression to disk.
Load the LogisticRegression from this file again, by calling this function with the path to the file.
Optionally specify the node for the file containing the classifier</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>filepath</code> - path to serialized LogisticRegression</dd>
<dd><code>nodeName</code> - name of node containing the classifier</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
<li>
<section class="detail" id="load(java.lang.String)">
<h3>load</h3>
<div class="member-signature"><span class="modifiers">public static</span>&nbsp;<span class="return-type"><a href="LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></span>&nbsp;<span class="element-name">load</span><wbr><span class="parameters">(<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>&nbsp;filepath)</span></div>
<div class="block">Loads and creates a serialized LogisticRegression from a file
Use LogisticRegression::save to serialize and store an LogisticRegression to disk.
Load the LogisticRegression from this file again, by calling this function with the path to the file.
Optionally specify the node for the file containing the classifier</div>
<dl class="notes">
<dt>Parameters:</dt>
<dd><code>filepath</code> - path to serialized LogisticRegression</dd>
<dt>Returns:</dt>
<dd>automatically generated</dd>
</dl>
</section>
</li>
</ul>
</section>
</li>
</ul>
</section>
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