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ACS v3 1차 최종 버전.
2025-05-20 14:21:24 +09:00
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<h2 title="Class RTrees" class="title">Class RTrees</h2>
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<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>
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<ul class="inheritance">
<li><a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">org.opencv.ml.StatModel</a></li>
<li>
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<li><a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">org.opencv.ml.DTrees</a></li>
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<li>org.opencv.ml.RTrees</li>
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<pre>public class <span class="typeNameLabel">RTrees</span>
extends <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></pre>
<div class="block">The class implements the random forest predictor.
SEE: REF: ml_intro_rtrees</div>
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<h3>Fields inherited from class&nbsp;org.opencv.ml.<a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></h3>
<code><a href="../../../org/opencv/ml/DTrees.html#PREDICT_AUTO">PREDICT_AUTO</a>, <a href="../../../org/opencv/ml/DTrees.html#PREDICT_MASK">PREDICT_MASK</a>, <a href="../../../org/opencv/ml/DTrees.html#PREDICT_MAX_VOTE">PREDICT_MAX_VOTE</a>, <a href="../../../org/opencv/ml/DTrees.html#PREDICT_SUM">PREDICT_SUM</a></code></li>
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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>
<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/RTrees.html" title="class in org.opencv.ml">RTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#create--">create</a></span>()</code>
<div class="block">Creates the empty model.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#getActiveVarCount--">getActiveVarCount</a></span>()</code>
<div class="block">SEE: setActiveVarCount</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#getCalculateVarImportance--">getCalculateVarImportance</a></span>()</code>
<div class="block">SEE: setCalculateVarImportance</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/RTrees.html#getOOBError--">getOOBError</a></span>()</code>
<div class="block">Returns the OOB error value, computed at the training stage when calcOOBError is set to true.</div>
</td>
</tr>
<tr id="i5" 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/RTrees.html#getTermCriteria--">getTermCriteria</a></span>()</code>
<div class="block">SEE: setTermCriteria</div>
</td>
</tr>
<tr id="i6" 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/RTrees.html#getVarImportance--">getVarImportance</a></span>()</code>
<div class="block">Returns the variable importance array.</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#getVotes-org.opencv.core.Mat-org.opencv.core.Mat-int-">getVotes</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">Returns the result of each individual tree in the forest.</div>
</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#load-java.lang.String-">load</a></span>(java.lang.String&nbsp;filepath)</code>
<div class="block">Loads and creates a serialized RTree from a file
Use RTree::save to serialize and store an RTree to disk.</div>
</td>
</tr>
<tr id="i9" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.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 RTree from a file
Use RTree::save to serialize and store an RTree to disk.</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#setActiveVarCount-int-">setActiveVarCount</a></span>(int&nbsp;val)</code>
<div class="block">getActiveVarCount SEE: getActiveVarCount</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.html#setCalculateVarImportance-boolean-">setCalculateVarImportance</a></span>(boolean&nbsp;val)</code>
<div class="block">getCalculateVarImportance SEE: getCalculateVarImportance</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/RTrees.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>
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<h3>Methods inherited from class&nbsp;org.opencv.ml.<a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></h3>
<code><a href="../../../org/opencv/ml/DTrees.html#getCVFolds--">getCVFolds</a>, <a href="../../../org/opencv/ml/DTrees.html#getMaxCategories--">getMaxCategories</a>, <a href="../../../org/opencv/ml/DTrees.html#getMaxDepth--">getMaxDepth</a>, <a href="../../../org/opencv/ml/DTrees.html#getMinSampleCount--">getMinSampleCount</a>, <a href="../../../org/opencv/ml/DTrees.html#getPriors--">getPriors</a>, <a href="../../../org/opencv/ml/DTrees.html#getRegressionAccuracy--">getRegressionAccuracy</a>, <a href="../../../org/opencv/ml/DTrees.html#getTruncatePrunedTree--">getTruncatePrunedTree</a>, <a href="../../../org/opencv/ml/DTrees.html#getUse1SERule--">getUse1SERule</a>, <a href="../../../org/opencv/ml/DTrees.html#getUseSurrogates--">getUseSurrogates</a>, <a href="../../../org/opencv/ml/DTrees.html#setCVFolds-int-">setCVFolds</a>, <a href="../../../org/opencv/ml/DTrees.html#setMaxCategories-int-">setMaxCategories</a>, <a href="../../../org/opencv/ml/DTrees.html#setMaxDepth-int-">setMaxDepth</a>, <a href="../../../org/opencv/ml/DTrees.html#setMinSampleCount-int-">setMinSampleCount</a>, <a href="../../../org/opencv/ml/DTrees.html#setPriors-org.opencv.core.Mat-">setPriors</a>, <a href="../../../org/opencv/ml/DTrees.html#setRegressionAccuracy-float-">setRegressionAccuracy</a>, <a href="../../../org/opencv/ml/DTrees.html#setTruncatePrunedTree-boolean-">setTruncatePrunedTree</a>, <a href="../../../org/opencv/ml/DTrees.html#setUse1SERule-boolean-">setUse1SERule</a>, <a href="../../../org/opencv/ml/DTrees.html#setUseSurrogates-boolean-">setUseSurrogates</a></code></li>
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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#predict-org.opencv.core.Mat-">predict</a>, <a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-">predict</a>, <a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-int-">predict</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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<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>
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
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<a name="create--">
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<h4>create</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a>&nbsp;create()</pre>
<div class="block">Creates the empty model.
Use StatModel::train to train the model, StatModel::train to create and train the model,
Algorithm::load to load the pre-trained model.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<a name="getActiveVarCount--">
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<h4>getActiveVarCount</h4>
<pre>public&nbsp;int&nbsp;getActiveVarCount()</pre>
<div class="block">SEE: setActiveVarCount</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<a name="getCalculateVarImportance--">
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<h4>getCalculateVarImportance</h4>
<pre>public&nbsp;boolean&nbsp;getCalculateVarImportance()</pre>
<div class="block">SEE: setCalculateVarImportance</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getOOBError--">
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<h4>getOOBError</h4>
<pre>public&nbsp;double&nbsp;getOOBError()</pre>
<div class="block">Returns the OOB error value, computed at the training stage when calcOOBError is set to true.
If this flag was set to false, 0 is returned. The OOB error is also scaled by sample weighting.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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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>
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<a name="getVarImportance--">
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<h4>getVarImportance</h4>
<pre>public&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;getVarImportance()</pre>
<div class="block">Returns the variable importance array.
The method returns the variable importance vector, computed at the training stage when
CalculateVarImportance is set to true. If this flag was set to false, the empty matrix is
returned.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getVotes-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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<h4>getVotes</h4>
<pre>public&nbsp;void&nbsp;getVotes(<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">Returns the result of each individual tree in the forest.
In case the model is a regression problem, the method will return each of the trees'
results for each of the sample cases. If the model is a classifier, it will return
a Mat with samples + 1 rows, where the first row gives the class number and the
following rows return the votes each class had for each sample.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>samples</code> - Array containing the samples for which votes will be calculated.</dd>
<dd><code>results</code> - Array where the result of the calculation will be written.</dd>
<dd><code>flags</code> - Flags for defining the type of RTrees.</dd>
</dl>
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<h4>load</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a>&nbsp;load(java.lang.String&nbsp;filepath)</pre>
<div class="block">Loads and creates a serialized RTree from a file
Use RTree::save to serialize and store an RTree to disk.
Load the RTree 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 RTree</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>load</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a>&nbsp;load(java.lang.String&nbsp;filepath,
java.lang.String&nbsp;nodeName)</pre>
<div class="block">Loads and creates a serialized RTree from a file
Use RTree::save to serialize and store an RTree to disk.
Load the RTree 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 RTree</dd>
<dd><code>nodeName</code> - name of node containing the classifier</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<pre>public&nbsp;void&nbsp;setActiveVarCount(int&nbsp;val)</pre>
<div class="block">getActiveVarCount SEE: getActiveVarCount</div>
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<pre>public&nbsp;void&nbsp;setCalculateVarImportance(boolean&nbsp;val)</pre>
<div class="block">getCalculateVarImportance SEE: getCalculateVarImportance</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
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<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>
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