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ACS v3 1차 최종 버전.
2025-05-20 14:21:24 +09:00
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<div class="subTitle">org.opencv.ml</div>
<h2 title="Class StatModel" class="title">Class StatModel</h2>
</div>
<div class="contentContainer">
<ul class="inheritance">
<li>java.lang.Object</li>
<li>
<ul class="inheritance">
<li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
<li>
<ul class="inheritance">
<li>org.opencv.ml.StatModel</li>
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<dl>
<dt>Direct Known Subclasses:</dt>
<dd><a href="../../../org/opencv/ml/ANN_MLP.html" title="class in org.opencv.ml">ANN_MLP</a>, <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a>, <a href="../../../org/opencv/ml/EM.html" title="class in org.opencv.ml">EM</a>, <a href="../../../org/opencv/ml/KNearest.html" title="class in org.opencv.ml">KNearest</a>, <a href="../../../org/opencv/ml/LogisticRegression.html" title="class in org.opencv.ml">LogisticRegression</a>, <a href="../../../org/opencv/ml/NormalBayesClassifier.html" title="class in org.opencv.ml">NormalBayesClassifier</a>, <a href="../../../org/opencv/ml/SVM.html" title="class in org.opencv.ml">SVM</a>, <a href="../../../org/opencv/ml/SVMSGD.html" title="class in org.opencv.ml">SVMSGD</a></dd>
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<pre>public class <span class="typeNameLabel">StatModel</span>
extends <a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></pre>
<div class="block">Base class for statistical models in OpenCV ML.</div>
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<h3>Field Summary</h3>
<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Field Summary table, listing fields, and an explanation">
<caption><span>Fields</span><span class="tabEnd">&nbsp;</span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Field and Description</th>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#COMPRESSED_INPUT">COMPRESSED_INPUT</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/StatModel.html#PREPROCESSED_INPUT">PREPROCESSED_INPUT</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/StatModel.html#RAW_OUTPUT">RAW_OUTPUT</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/StatModel.html#UPDATE_MODEL">UPDATE_MODEL</a></span></code>&nbsp;</td>
</tr>
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<h3>Method Summary</h3>
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<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<tr id="i0" class="altColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#calcError-org.opencv.ml.TrainData-boolean-org.opencv.core.Mat-">calcError</a></span>(<a href="../../../org/opencv/ml/TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;data,
boolean&nbsp;test,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;resp)</code>
<div class="block">Computes error on the training or test dataset</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#empty--">empty</a></span>()</code>
<div class="block">Returns true if the Algorithm is empty (e.g.</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/StatModel.html#getVarCount--">getVarCount</a></span>()</code>
<div class="block">Returns the number of variables in training samples</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#isClassifier--">isClassifier</a></span>()</code>
<div class="block">Returns true if the model is classifier</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#isTrained--">isTrained</a></span>()</code>
<div class="block">Returns true if the model is trained</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.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 response(s) for the provided sample(s)</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.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 response(s) for the provided sample(s)</div>
</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.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 response(s) for the provided sample(s)</div>
</td>
</tr>
<tr id="i9" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.core.Mat-int-org.opencv.core.Mat-">train</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
int&nbsp;layout,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;responses)</code>
<div class="block">Trains the statistical model</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.ml.TrainData-">train</a></span>(<a href="../../../org/opencv/ml/TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData)</code>
<div class="block">Trains the statistical model</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.ml.TrainData-int-">train</a></span>(<a href="../../../org/opencv/ml/TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData,
int&nbsp;flags)</code>
<div class="block">Trains the statistical model</div>
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<h3>Methods inherited from class&nbsp;org.opencv.core.<a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></h3>
<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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<h3>Methods inherited from class&nbsp;java.lang.Object</h3>
<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
</ul>
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<h3>Field Detail</h3>
<a name="COMPRESSED_INPUT">
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<h4>COMPRESSED_INPUT</h4>
<pre>public static final&nbsp;int COMPRESSED_INPUT</pre>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.StatModel.COMPRESSED_INPUT">Constant Field Values</a></dd>
</dl>
</li>
</ul>
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<h4>PREPROCESSED_INPUT</h4>
<pre>public static final&nbsp;int PREPROCESSED_INPUT</pre>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.StatModel.PREPROCESSED_INPUT">Constant Field Values</a></dd>
</dl>
</li>
</ul>
<a name="RAW_OUTPUT">
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<h4>RAW_OUTPUT</h4>
<pre>public static final&nbsp;int RAW_OUTPUT</pre>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.StatModel.RAW_OUTPUT">Constant Field Values</a></dd>
</dl>
</li>
</ul>
<a name="UPDATE_MODEL">
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<h4>UPDATE_MODEL</h4>
<pre>public static final&nbsp;int UPDATE_MODEL</pre>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.StatModel.UPDATE_MODEL">Constant Field Values</a></dd>
</dl>
</li>
</ul>
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<h3>Method Detail</h3>
<a name="Z:Z__fromPtr__-long-">
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
</li>
</ul>
<a name="calcError-org.opencv.ml.TrainData-boolean-org.opencv.core.Mat-">
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<h4>calcError</h4>
<pre>public&nbsp;float&nbsp;calcError(<a href="../../../org/opencv/ml/TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;data,
boolean&nbsp;test,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;resp)</pre>
<div class="block">Computes error on the training or test dataset</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<h4>empty</h4>
<pre>public&nbsp;boolean&nbsp;empty()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../org/opencv/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>
<dt><span class="overrideSpecifyLabel">Overrides:</span></dt>
<dd><code><a href="../../../org/opencv/core/Algorithm.html#empty--">empty</a></code>&nbsp;in class&nbsp;<code><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getVarCount--">
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<h4>getVarCount</h4>
<pre>public&nbsp;int&nbsp;getVarCount()</pre>
<div class="block">Returns the number of variables in training samples</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="isClassifier--">
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<h4>isClassifier</h4>
<pre>public&nbsp;boolean&nbsp;isClassifier()</pre>
<div class="block">Returns true if the model is classifier</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
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<h4>isTrained</h4>
<pre>public&nbsp;boolean&nbsp;isTrained()</pre>
<div class="block">Returns true if the model is trained</div>
<dl>
<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 response(s) for the provided sample(s)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>samples</code> - The input samples, floating-point matrix</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-">
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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 response(s) for the provided sample(s)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>samples</code> - The input samples, floating-point matrix</dd>
<dd><code>results</code> - The optional output matrix of results.</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 response(s) for the provided sample(s)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="train-org.opencv.core.Mat-int-org.opencv.core.Mat-">
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<h4>train</h4>
<pre>public&nbsp;boolean&nbsp;train(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;samples,
int&nbsp;layout,
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;responses)</pre>
<div class="block">Trains the statistical model</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>train</h4>
<pre>public&nbsp;boolean&nbsp;train(<a href="../../../org/opencv/ml/TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData)</pre>
<div class="block">Trains the statistical model</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<h4>train</h4>
<pre>public&nbsp;boolean&nbsp;train(<a href="../../../org/opencv/ml/TrainData.html" title="class in org.opencv.ml">TrainData</a>&nbsp;trainData,
int&nbsp;flags)</pre>
<div class="block">Trains the statistical model</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></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><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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