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<h2 title="Class LogisticRegression" class="title">Class LogisticRegression</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
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<li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
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<pre>public class <span class="typeNameLabel">LogisticRegression</span>
extends <a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a></pre>
<div class="block">Implements Logistic Regression classifier.
SEE: REF: ml_intro_lr</div>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Field and Description</th>
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<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#BATCH">BATCH</a></span></code>&nbsp;</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#MINI_BATCH">MINI_BATCH</a></span></code>&nbsp;</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#REG_DISABLE">REG_DISABLE</a></span></code>&nbsp;</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#REG_L1">REG_L1</a></span></code>&nbsp;</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#REG_L2">REG_L2</a></span></code>&nbsp;</td>
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<code><a href="../../../org/opencv/ml/StatModel.html#COMPRESSED_INPUT">COMPRESSED_INPUT</a>, <a href="../../../org/opencv/ml/StatModel.html#PREPROCESSED_INPUT">PREPROCESSED_INPUT</a>, <a href="../../../org/opencv/ml/StatModel.html#RAW_OUTPUT">RAW_OUTPUT</a>, <a href="../../../org/opencv/ml/StatModel.html#UPDATE_MODEL">UPDATE_MODEL</a></code></li>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<td class="colFirst"><code>static <a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
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<tr id="i1" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#create--">create</a></span>()</code>
<div class="block">Creates empty model.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code><a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#get_learnt_thetas--">get_learnt_thetas</a></span>()</code>
<div class="block">This function returns the trained parameters arranged across rows.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#getIterations--">getIterations</a></span>()</code>
<div class="block">SEE: setIterations</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#getLearningRate--">getLearningRate</a></span>()</code>
<div class="block">SEE: setLearningRate</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#getMiniBatchSize--">getMiniBatchSize</a></span>()</code>
<div class="block">SEE: setMiniBatchSize</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#getRegularization--">getRegularization</a></span>()</code>
<div class="block">SEE: setRegularization</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code><a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#getTermCriteria--">getTermCriteria</a></span>()</code>
<div class="block">SEE: setTermCriteria</div>
</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#getTrainMethod--">getTrainMethod</a></span>()</code>
<div class="block">SEE: setTrainMethod</div>
</td>
</tr>
<tr id="i9" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#load-java.lang.String-">load</a></span>(java.lang.String&nbsp;filepath)</code>
<div class="block">Loads and creates a serialized LogisticRegression from a file
Use LogisticRegression::save to serialize and store an LogisticRegression to disk.</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#load-java.lang.String-java.lang.String-">load</a></span>(java.lang.String&nbsp;filepath,
java.lang.String&nbsp;nodeName)</code>
<div class="block">Loads and creates a serialized LogisticRegression from a file
Use LogisticRegression::save to serialize and store an LogisticRegression to disk.</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#predict-org.opencv.core.Mat-">predict</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples)</code>
<div class="block">Predicts responses for input samples and returns a float type.</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-">predict</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results)</code>
<div class="block">Predicts responses for input samples and returns a float type.</div>
</td>
</tr>
<tr id="i13" class="rowColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-int-">predict</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results,
int&nbsp;flags)</code>
<div class="block">Predicts responses for input samples and returns a float type.</div>
</td>
</tr>
<tr id="i14" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#setIterations-int-">setIterations</a></span>(int&nbsp;val)</code>
<div class="block">getIterations SEE: getIterations</div>
</td>
</tr>
<tr id="i15" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#setLearningRate-double-">setLearningRate</a></span>(double&nbsp;val)</code>
<div class="block">getLearningRate SEE: getLearningRate</div>
</td>
</tr>
<tr id="i16" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#setMiniBatchSize-int-">setMiniBatchSize</a></span>(int&nbsp;val)</code>
<div class="block">getMiniBatchSize SEE: getMiniBatchSize</div>
</td>
</tr>
<tr id="i17" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#setRegularization-int-">setRegularization</a></span>(int&nbsp;val)</code>
<div class="block">getRegularization SEE: getRegularization</div>
</td>
</tr>
<tr id="i18" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#setTermCriteria-org.opencv.core.TermCriteria-">setTermCriteria</a></span>(<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;val)</code>
<div class="block">getTermCriteria SEE: getTermCriteria</div>
</td>
</tr>
<tr id="i19" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/LogisticRegression.html#setTrainMethod-int-">setTrainMethod</a></span>(int&nbsp;val)</code>
<div class="block">getTrainMethod SEE: getTrainMethod</div>
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<code><a href="../../../org/opencv/ml/StatModel.html#calcError-org.opencv.ml.TrainData-boolean-org.opencv.core.Mat-">calcError</a>, <a href="../../../org/opencv/ml/StatModel.html#empty--">empty</a>, <a href="../../../org/opencv/ml/StatModel.html#getVarCount--">getVarCount</a>, <a href="../../../org/opencv/ml/StatModel.html#isClassifier--">isClassifier</a>, <a href="../../../org/opencv/ml/StatModel.html#isTrained--">isTrained</a>, <a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.core.Mat-int-org.opencv.core.Mat-">train</a>, <a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.ml.TrainData-">train</a>, <a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.ml.TrainData-int-">train</a></code></li>
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<code><a href="../../../org/opencv/core/Algorithm.html#clear--">clear</a>, <a href="../../../org/opencv/core/Algorithm.html#getDefaultName--">getDefaultName</a>, <a href="../../../org/opencv/core/Algorithm.html#getNativeObjAddr--">getNativeObjAddr</a>, <a href="../../../org/opencv/core/Algorithm.html#save-java.lang.String-">save</a></code></li>
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<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<h4>BATCH</h4>
<pre>public static final&nbsp;int BATCH</pre>
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<pre>public static final&nbsp;int MINI_BATCH</pre>
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<dd><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.MINI_BATCH">Constant Field Values</a></dd>
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<pre>public static final&nbsp;int REG_DISABLE</pre>
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<dd><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.REG_DISABLE">Constant Field Values</a></dd>
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<pre>public static final&nbsp;int REG_L1</pre>
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<dd><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.REG_L1">Constant Field Values</a></dd>
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<pre>public static final&nbsp;int REG_L2</pre>
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<dd><a href="../../../constant-values.html#org.opencv.ml.LogisticRegression.REG_L2">Constant Field Values</a></dd>
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
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<h4>create</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a>&nbsp;create()</pre>
<div class="block">Creates empty model.
Creates Logistic Regression model with parameters given.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>get_learnt_thetas</h4>
<pre>public&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;get_learnt_thetas()</pre>
<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>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>getIterations</h4>
<pre>public&nbsp;int&nbsp;getIterations()</pre>
<div class="block">SEE: setIterations</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getLearningRate--">
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<h4>getLearningRate</h4>
<pre>public&nbsp;double&nbsp;getLearningRate()</pre>
<div class="block">SEE: setLearningRate</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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</ul>
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<h4>getMiniBatchSize</h4>
<pre>public&nbsp;int&nbsp;getMiniBatchSize()</pre>
<div class="block">SEE: setMiniBatchSize</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getRegularization--">
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<h4>getRegularization</h4>
<pre>public&nbsp;int&nbsp;getRegularization()</pre>
<div class="block">SEE: setRegularization</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
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<h4>getTermCriteria</h4>
<pre>public&nbsp;<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;getTermCriteria()</pre>
<div class="block">SEE: setTermCriteria</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getTrainMethod--">
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<h4>getTrainMethod</h4>
<pre>public&nbsp;int&nbsp;getTrainMethod()</pre>
<div class="block">SEE: setTrainMethod</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<h4>load</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a>&nbsp;load(java.lang.String&nbsp;filepath)</pre>
<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>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>filepath</code> - path to serialized LogisticRegression</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
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<h4>load</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a>&nbsp;load(java.lang.String&nbsp;filepath,
java.lang.String&nbsp;nodeName)</pre>
<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>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>filepath</code> - path to serialized LogisticRegression</dd>
<dd><code>nodeName</code> - name of node containing the classifier</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="predict-org.opencv.core.Mat-">
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<h4>predict</h4>
<pre>public&nbsp;float&nbsp;predict(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples)</pre>
<div class="block">Predicts responses for input samples and returns a float type.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Overrides:</span></dt>
<dd><code><a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-">predict</a></code>&nbsp;in class&nbsp;<code><a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a></code></dd>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>predict</h4>
<pre>public&nbsp;float&nbsp;predict(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results)</pre>
<div class="block">Predicts responses for input samples and returns a float type.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Overrides:</span></dt>
<dd><code><a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-">predict</a></code>&nbsp;in class&nbsp;<code><a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a></code></dd>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="predict-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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<h4>predict</h4>
<pre>public&nbsp;float&nbsp;predict(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;results,
int&nbsp;flags)</pre>
<div class="block">Predicts responses for input samples and returns a float type.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Overrides:</span></dt>
<dd><code><a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-int-">predict</a></code>&nbsp;in class&nbsp;<code><a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a></code></dd>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>setIterations</h4>
<pre>public&nbsp;void&nbsp;setIterations(int&nbsp;val)</pre>
<div class="block">getIterations SEE: getIterations</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</li>
</ul>
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<h4>setLearningRate</h4>
<pre>public&nbsp;void&nbsp;setLearningRate(double&nbsp;val)</pre>
<div class="block">getLearningRate SEE: getLearningRate</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</li>
</ul>
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<h4>setMiniBatchSize</h4>
<pre>public&nbsp;void&nbsp;setMiniBatchSize(int&nbsp;val)</pre>
<div class="block">getMiniBatchSize SEE: getMiniBatchSize</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</li>
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<h4>setRegularization</h4>
<pre>public&nbsp;void&nbsp;setRegularization(int&nbsp;val)</pre>
<div class="block">getRegularization SEE: getRegularization</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</li>
</ul>
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<h4>setTermCriteria</h4>
<pre>public&nbsp;void&nbsp;setTermCriteria(<a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;val)</pre>
<div class="block">getTermCriteria SEE: getTermCriteria</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</li>
</ul>
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<h4>setTrainMethod</h4>
<pre>public&nbsp;void&nbsp;setTrainMethod(int&nbsp;val)</pre>
<div class="block">getTrainMethod SEE: getTrainMethod</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
</li>
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