Algorithm-SVM
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#include <vector>
#include <map>
#ifdef __cplusplus
extern "C" {
#endif
#include "EXTERN.h"
#include "perl.h"
#include "XSUB.h"
#ifdef __cplusplus
}
#endif
#include "bindings.h"
#include "libsvm.h"
DataSet *_new_dataset(double l) {
return new DataSet(l);
}
SVM *_new_svm(int st, int kt, int d, double g, double c0, double C,
double nu, double e) {
return new SVM(st, kt, d, g, c0, C, nu, e);
}
MODULE = Algorithm::SVM::DataSet PACKAGE = Algorithm::SVM::DataSet
DataSet *
_new_dataset(l)
double l
double
DataSet::_getLabel()
CODE:
RETVAL = THIS->getLabel();
OUTPUT:
RETVAL
void
DataSet::_setLabel(l)
double l
CODE:
THIS->setLabel(l);
double
DataSet::_getAttribute(k)
int k
CODE:
RETVAL = THIS->getAttribute(k);
OUTPUT:
RETVAL
void
DataSet::_setAttribute(k,v)
int k
double v
CODE:
THIS->setAttribute(k,v);
int
DataSet::_getIndexAt(i)
int i
CODE:
RETVAL = THIS->getIndexAt(i);
OUTPUT:
RETVAL
double
DataSet::_getValueAt(i)
int i
CODE:
RETVAL = THIS->getValueAt(i);
OUTPUT:
RETVAL
int
DataSet::_getMaxI()
CODE:
RETVAL = THIS->getMaxI();
OUTPUT:
RETVAL
void
DataSet::DESTROY()
MODULE = Algorithm::SVM PACKAGE = Algorithm::SVM
SVM *
_new_svm(st,kt,d,g,c0,C,nu,e)
int st
int kt
int d
double g
double c0
double C
double nu
double e
void
SVM::_addDataSet(ds)
DataSet *ds
CODE:
THIS->addDataSet(ds);
void
SVM::_clearDataSet()
CODE:
THIS->clearDataSet();
int
SVM::_train(retrain)
int retrain
CODE:
RETVAL = THIS->train(retrain);
OUTPUT:
RETVAL
double
SVM::_crossValidate(nfolds)
int nfolds
CODE:
RETVAL = THIS->crossValidate(nfolds);
OUTPUT:
RETVAL
double
SVM::_predict_value(ds)
DataSet *ds
CODE:
RETVAL = THIS->predict_value(ds);
OUTPUT:
RETVAL
double
SVM::_predict(ds)
DataSet *ds
CODE:
RETVAL = THIS->predict(ds);
OUTPUT:
RETVAL
int
SVM::_saveModel(filename)
char *filename
CODE:
RETVAL = THIS->saveModel(filename);
OUTPUT:
RETVAL
int
SVM::_loadModel(filename)
char *filename
CODE:
RETVAL = THIS->loadModel(filename);
OUTPUT:
RETVAL
int
SVM::_getNRClass()
CODE:
RETVAL = THIS->getNRClass();
OUTPUT:
RETVAL
void
SVM::_getLabels(classes)
int classes
PPCODE:
int i;
int *labels;
labels = new int[classes];
if(THIS->getLabels(labels)) {
for (i=0;i < classes; i++) {
XPUSHs(sv_2mortal(newSViv(labels[i])));
}
} else {
XSRETURN_UNDEF;
}
double
SVM::_getSVRProbability()
CODE:
RETVAL = THIS->getSVRProbability();
OUTPUT:
RETVAL
int
SVM::_checkProbabilityModel()
CODE:
RETVAL = THIS->checkProbabilityModel();
OUTPUT:
RETVAL
void
SVM::_setSVMType(st)
int st
CODE:
THIS->setSVMType(st);
int
SVM::_getSVMType()
CODE:
RETVAL = THIS->getSVMType();
OUTPUT:
RETVAL
void
SVM::_setKernelType(kt)
int kt
CODE:
THIS->setKernelType(kt);
int
SVM::_getKernelType()
CODE:
RETVAL = THIS->getKernelType();
OUTPUT:
RETVAL
void
SVM::_setGamma(g)
double g
CODE:
THIS->setGamma(g);
double
SVM::_getGamma()
CODE:
RETVAL = THIS->getGamma();
OUTPUT:
RETVAL
void
SVM::_setDegree(d)
int d
CODE:
THIS->setDegree(d);
double
SVM::_getDegree()
CODE:
RETVAL = THIS->getDegree();
OUTPUT:
RETVAL
void
SVM::_setCoef0(c)
double c
CODE:
THIS->setCoef0(c);
double
SVM::_getCoef0()
CODE:
RETVAL = THIS->getCoef0();
OUTPUT:
RETVAL
void
SVM::_setC(c)
double c
CODE:
THIS->setC(c);
double
SVM::_getC()
CODE:
RETVAL = THIS->getC();
OUTPUT:
RETVAL
void
SVM::_setNu(n)
double n
CODE:
THIS->setNu(n);
double
SVM::_getNu()
CODE:
RETVAL = THIS->getNu();
OUTPUT:
RETVAL
void
SVM::_setEpsilon(e)
double e
CODE:
THIS->setEpsilon(e);
double
SVM::_getEpsilon()
CODE:
RETVAL = THIS->getEpsilon();
OUTPUT:
RETVAL
void
SVM::DESTROY()
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