Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $
You can buy this project and download/modify it how often you want.
org.opencv.ml.SVM Maven / Gradle / Ivy
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.ParamGrid;
import org.opencv.ml.SVM;
import org.opencv.ml.StatModel;
// C++: class SVM
//javadoc: SVM
public class SVM extends StatModel {
protected SVM(long addr) { super(addr); }
// internal usage only
public static SVM __fromPtr__(long addr) { return new SVM(addr); }
// C++: enum KernelTypes
public static final int
CUSTOM = -1,
LINEAR = 0,
POLY = 1,
RBF = 2,
SIGMOID = 3,
CHI2 = 4,
INTER = 5;
// C++: enum Types
public static final int
C_SVC = 100,
NU_SVC = 101,
ONE_CLASS = 102,
EPS_SVR = 103,
NU_SVR = 104;
// C++: enum ParamTypes
public static final int
C = 0,
GAMMA = 1,
P = 2,
NU = 3,
COEF = 4,
DEGREE = 5;
//
// C++: Mat cv::ml::SVM::getClassWeights()
//
//javadoc: SVM::getClassWeights()
public Mat getClassWeights()
{
Mat retVal = new Mat(getClassWeights_0(nativeObj));
return retVal;
}
//
// C++: Mat cv::ml::SVM::getSupportVectors()
//
//javadoc: SVM::getSupportVectors()
public Mat getSupportVectors()
{
Mat retVal = new Mat(getSupportVectors_0(nativeObj));
return retVal;
}
//
// C++: Mat cv::ml::SVM::getUncompressedSupportVectors()
//
//javadoc: SVM::getUncompressedSupportVectors()
public Mat getUncompressedSupportVectors()
{
Mat retVal = new Mat(getUncompressedSupportVectors_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_ParamGrid cv::ml::SVM::getDefaultGridPtr(int param_id)
//
//javadoc: SVM::getDefaultGridPtr(param_id)
public static ParamGrid getDefaultGridPtr(int param_id)
{
ParamGrid retVal = ParamGrid.__fromPtr__(getDefaultGridPtr_0(param_id));
return retVal;
}
//
// C++: static Ptr_SVM cv::ml::SVM::create()
//
//javadoc: SVM::create()
public static SVM create()
{
SVM retVal = SVM.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_SVM cv::ml::SVM::load(String filepath)
//
//javadoc: SVM::load(filepath)
public static SVM load(String filepath)
{
SVM retVal = SVM.__fromPtr__(load_0(filepath));
return retVal;
}
//
// C++: TermCriteria cv::ml::SVM::getTermCriteria()
//
//javadoc: SVM::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: bool cv::ml::SVM::trainAuto(Mat samples, int layout, Mat responses, int kFold = 10, Ptr_ParamGrid Cgrid = SVM::getDefaultGridPtr(SVM::C), Ptr_ParamGrid gammaGrid = SVM::getDefaultGridPtr(SVM::GAMMA), Ptr_ParamGrid pGrid = SVM::getDefaultGridPtr(SVM::P), Ptr_ParamGrid nuGrid = SVM::getDefaultGridPtr(SVM::NU), Ptr_ParamGrid coeffGrid = SVM::getDefaultGridPtr(SVM::COEF), Ptr_ParamGrid degreeGrid = SVM::getDefaultGridPtr(SVM::DEGREE), bool balanced = false)
//
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid, pGrid, nuGrid, coeffGrid, degreeGrid, balanced)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid, boolean balanced)
{
boolean retVal = trainAuto_0(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr(), pGrid.getNativeObjAddr(), nuGrid.getNativeObjAddr(), coeffGrid.getNativeObjAddr(), degreeGrid.getNativeObjAddr(), balanced);
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid, pGrid, nuGrid, coeffGrid, degreeGrid)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid)
{
boolean retVal = trainAuto_1(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr(), pGrid.getNativeObjAddr(), nuGrid.getNativeObjAddr(), coeffGrid.getNativeObjAddr(), degreeGrid.getNativeObjAddr());
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid, pGrid, nuGrid, coeffGrid)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid)
{
boolean retVal = trainAuto_2(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr(), pGrid.getNativeObjAddr(), nuGrid.getNativeObjAddr(), coeffGrid.getNativeObjAddr());
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid, pGrid, nuGrid)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid)
{
boolean retVal = trainAuto_3(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr(), pGrid.getNativeObjAddr(), nuGrid.getNativeObjAddr());
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid, pGrid)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid)
{
boolean retVal = trainAuto_4(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr(), pGrid.getNativeObjAddr());
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid)
{
boolean retVal = trainAuto_5(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr());
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid)
{
boolean retVal = trainAuto_6(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr());
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses, kFold)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold)
{
boolean retVal = trainAuto_7(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold);
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses)
public boolean trainAuto(Mat samples, int layout, Mat responses)
{
boolean retVal = trainAuto_8(nativeObj, samples.nativeObj, layout, responses.nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getC()
//
//javadoc: SVM::getC()
public double getC()
{
double retVal = getC_0(nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getCoef0()
//
//javadoc: SVM::getCoef0()
public double getCoef0()
{
double retVal = getCoef0_0(nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getDecisionFunction(int i, Mat& alpha, Mat& svidx)
//
//javadoc: SVM::getDecisionFunction(i, alpha, svidx)
public double getDecisionFunction(int i, Mat alpha, Mat svidx)
{
double retVal = getDecisionFunction_0(nativeObj, i, alpha.nativeObj, svidx.nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getDegree()
//
//javadoc: SVM::getDegree()
public double getDegree()
{
double retVal = getDegree_0(nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getGamma()
//
//javadoc: SVM::getGamma()
public double getGamma()
{
double retVal = getGamma_0(nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getNu()
//
//javadoc: SVM::getNu()
public double getNu()
{
double retVal = getNu_0(nativeObj);
return retVal;
}
//
// C++: double cv::ml::SVM::getP()
//
//javadoc: SVM::getP()
public double getP()
{
double retVal = getP_0(nativeObj);
return retVal;
}
//
// C++: int cv::ml::SVM::getKernelType()
//
//javadoc: SVM::getKernelType()
public int getKernelType()
{
int retVal = getKernelType_0(nativeObj);
return retVal;
}
//
// C++: int cv::ml::SVM::getType()
//
//javadoc: SVM::getType()
public int getType()
{
int retVal = getType_0(nativeObj);
return retVal;
}
//
// C++: void cv::ml::SVM::setC(double val)
//
//javadoc: SVM::setC(val)
public void setC(double val)
{
setC_0(nativeObj, val);
return;
}
//
// C++: void cv::ml::SVM::setClassWeights(Mat val)
//
//javadoc: SVM::setClassWeights(val)
public void setClassWeights(Mat val)
{
setClassWeights_0(nativeObj, val.nativeObj);
return;
}
//
// C++: void cv::ml::SVM::setCoef0(double val)
//
//javadoc: SVM::setCoef0(val)
public void setCoef0(double val)
{
setCoef0_0(nativeObj, val);
return;
}
//
// C++: void cv::ml::SVM::setDegree(double val)
//
//javadoc: SVM::setDegree(val)
public void setDegree(double val)
{
setDegree_0(nativeObj, val);
return;
}
//
// C++: void cv::ml::SVM::setGamma(double val)
//
//javadoc: SVM::setGamma(val)
public void setGamma(double val)
{
setGamma_0(nativeObj, val);
return;
}
//
// C++: void cv::ml::SVM::setKernel(int kernelType)
//
//javadoc: SVM::setKernel(kernelType)
public void setKernel(int kernelType)
{
setKernel_0(nativeObj, kernelType);
return;
}
//
// C++: void cv::ml::SVM::setNu(double val)
//
//javadoc: SVM::setNu(val)
public void setNu(double val)
{
setNu_0(nativeObj, val);
return;
}
//
// C++: void cv::ml::SVM::setP(double val)
//
//javadoc: SVM::setP(val)
public void setP(double val)
{
setP_0(nativeObj, val);
return;
}
//
// C++: void cv::ml::SVM::setTermCriteria(TermCriteria val)
//
//javadoc: SVM::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
//
// C++: void cv::ml::SVM::setType(int val)
//
//javadoc: SVM::setType(val)
public void setType(int val)
{
setType_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat cv::ml::SVM::getClassWeights()
private static native long getClassWeights_0(long nativeObj);
// C++: Mat cv::ml::SVM::getSupportVectors()
private static native long getSupportVectors_0(long nativeObj);
// C++: Mat cv::ml::SVM::getUncompressedSupportVectors()
private static native long getUncompressedSupportVectors_0(long nativeObj);
// C++: static Ptr_ParamGrid cv::ml::SVM::getDefaultGridPtr(int param_id)
private static native long getDefaultGridPtr_0(int param_id);
// C++: static Ptr_SVM cv::ml::SVM::create()
private static native long create_0();
// C++: static Ptr_SVM cv::ml::SVM::load(String filepath)
private static native long load_0(String filepath);
// C++: TermCriteria cv::ml::SVM::getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: bool cv::ml::SVM::trainAuto(Mat samples, int layout, Mat responses, int kFold = 10, Ptr_ParamGrid Cgrid = SVM::getDefaultGridPtr(SVM::C), Ptr_ParamGrid gammaGrid = SVM::getDefaultGridPtr(SVM::GAMMA), Ptr_ParamGrid pGrid = SVM::getDefaultGridPtr(SVM::P), Ptr_ParamGrid nuGrid = SVM::getDefaultGridPtr(SVM::NU), Ptr_ParamGrid coeffGrid = SVM::getDefaultGridPtr(SVM::COEF), Ptr_ParamGrid degreeGrid = SVM::getDefaultGridPtr(SVM::DEGREE), bool balanced = false)
private static native boolean trainAuto_0(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj, long pGrid_nativeObj, long nuGrid_nativeObj, long coeffGrid_nativeObj, long degreeGrid_nativeObj, boolean balanced);
private static native boolean trainAuto_1(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj, long pGrid_nativeObj, long nuGrid_nativeObj, long coeffGrid_nativeObj, long degreeGrid_nativeObj);
private static native boolean trainAuto_2(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj, long pGrid_nativeObj, long nuGrid_nativeObj, long coeffGrid_nativeObj);
private static native boolean trainAuto_3(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj, long pGrid_nativeObj, long nuGrid_nativeObj);
private static native boolean trainAuto_4(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj, long pGrid_nativeObj);
private static native boolean trainAuto_5(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj);
private static native boolean trainAuto_6(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj);
private static native boolean trainAuto_7(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold);
private static native boolean trainAuto_8(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj);
// C++: double cv::ml::SVM::getC()
private static native double getC_0(long nativeObj);
// C++: double cv::ml::SVM::getCoef0()
private static native double getCoef0_0(long nativeObj);
// C++: double cv::ml::SVM::getDecisionFunction(int i, Mat& alpha, Mat& svidx)
private static native double getDecisionFunction_0(long nativeObj, int i, long alpha_nativeObj, long svidx_nativeObj);
// C++: double cv::ml::SVM::getDegree()
private static native double getDegree_0(long nativeObj);
// C++: double cv::ml::SVM::getGamma()
private static native double getGamma_0(long nativeObj);
// C++: double cv::ml::SVM::getNu()
private static native double getNu_0(long nativeObj);
// C++: double cv::ml::SVM::getP()
private static native double getP_0(long nativeObj);
// C++: int cv::ml::SVM::getKernelType()
private static native int getKernelType_0(long nativeObj);
// C++: int cv::ml::SVM::getType()
private static native int getType_0(long nativeObj);
// C++: void cv::ml::SVM::setC(double val)
private static native void setC_0(long nativeObj, double val);
// C++: void cv::ml::SVM::setClassWeights(Mat val)
private static native void setClassWeights_0(long nativeObj, long val_nativeObj);
// C++: void cv::ml::SVM::setCoef0(double val)
private static native void setCoef0_0(long nativeObj, double val);
// C++: void cv::ml::SVM::setDegree(double val)
private static native void setDegree_0(long nativeObj, double val);
// C++: void cv::ml::SVM::setGamma(double val)
private static native void setGamma_0(long nativeObj, double val);
// C++: void cv::ml::SVM::setKernel(int kernelType)
private static native void setKernel_0(long nativeObj, int kernelType);
// C++: void cv::ml::SVM::setNu(double val)
private static native void setNu_0(long nativeObj, double val);
// C++: void cv::ml::SVM::setP(double val)
private static native void setP_0(long nativeObj, double val);
// C++: void cv::ml::SVM::setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// C++: void cv::ml::SVM::setType(int val)
private static native void setType_0(long nativeObj, int val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
