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This Agreement, signed on Jun 10, 2012 [hereinafter: Effective Date] governs the relationship between the Enduser, a private person, (hereinafter: Licensee) and Paul N...
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Java Source Code
//
// This file is auto-generated. Please don't modify it!
////fromwww.java2s.compackage org.opencv.ml;
import org.opencv.core.Mat;
// C++: class CvERTrees
/**
* <p>The class implements the Extremely randomized trees algorithm.
* <code>CvERTrees</code> is inherited from "CvRTrees" and has the same
* interface, so see description of "CvRTrees" class to get details. To set the
* training parameters of Extremely randomized trees the same class "CvRTParams"
* is used.</p>
*
* @see <a href="http://docs.opencv.org/modules/ml/doc/ertrees.html#cvertrees">org.opencv.ml.CvERTrees : public CvRTrees</a>
*/publicclass CvERTrees extends CvRTrees {
protected CvERTrees(long addr) { super(addr); }
//
// C++: CvERTrees::CvERTrees()
//
public CvERTrees()
{
super( CvERTrees_0() );
return;
}
//
// C++: bool CvERTrees::train(Mat trainData, int tflag, Mat responses, Mat varIdx = cv::Mat(), Mat sampleIdx = cv::Mat(), Mat varType = cv::Mat(), Mat missingDataMask = cv::Mat(), CvRTParams params = CvRTParams())
//
publicboolean train(Mat trainData, int tflag, Mat responses, Mat varIdx, Mat sampleIdx, Mat varType, Mat missingDataMask, CvRTParams params)
{
boolean retVal = train_0(nativeObj, trainData.nativeObj, tflag, responses.nativeObj, varIdx.nativeObj, sampleIdx.nativeObj, varType.nativeObj, missingDataMask.nativeObj, params.nativeObj);
return retVal;
}
publicboolean train(Mat trainData, int tflag, Mat responses)
{
boolean retVal = train_1(nativeObj, trainData.nativeObj, tflag, responses.nativeObj);
return retVal;
}
@Override
protectedvoid finalize() throws Throwable {
delete(nativeObj);
}
//
// native stuff
//
static { System.loadLibrary("opencv_java"); }
// C++: CvERTrees::CvERTrees()
privatestaticnativelong CvERTrees_0();
// C++: bool CvERTrees::train(Mat trainData, int tflag, Mat responses, Mat varIdx = cv::Mat(), Mat sampleIdx = cv::Mat(), Mat varType = cv::Mat(), Mat missingDataMask = cv::Mat(), CvRTParams params = CvRTParams())
privatestaticnativeboolean train_0(long nativeObj, long trainData_nativeObj, int tflag, long responses_nativeObj, long varIdx_nativeObj, long sampleIdx_nativeObj, long varType_nativeObj, long missingDataMask_nativeObj, long params_nativeObj);
privatestaticnativeboolean train_1(long nativeObj, long trainData_nativeObj, int tflag, long responses_nativeObj);
// native support for java finalize()
privatestaticnativevoid delete(long nativeObj);
}