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#ifndef __SVMLOC_H__
#define __SVMLOC_H__
#include <vector>
#include <map>
#include <string>
#include <fstream>
#include <iostream>
#include <set>
#include <assert.h>
#include <stdlib.h>
#include <string.h>
#include <libsvm/svm.h>
using namespace std;
class DataSet {
friend class SVM;
private:
double label;
struct svm_node *attributes;
int n; int max_n; int max_i;
bool realigned;
public:
DataSet(double l);
void setLabel(double l) { label = l; }
double getLabel() { return label; }
int getMaxI() { return max_i; }
void setAttribute(int k, double v);
double getAttribute(int k);
int getIndexAt(int i) { if (i<=n) { return attributes[i].index; } else { return -1; }}
double getValueAt(int i) { if (i<=n) { return attributes[i].value; } else { return 0; }}
void realign(struct svm_node *address);
~DataSet();
};
class SVM {
public:
SVM(int st, int kt, int d, double g, double c0, double C, double nu,
double e);
void addDataSet(DataSet *ds);
int saveModel(char *filename);
int loadModel(char *filename);
int loadFreqPattern(char *filename);
double classify(char *sequence);
void clearDataSet();
int train(int retrain);
double predict_value(DataSet *ds);
double predict(DataSet *ds);
void free_x_space();
void setSVMType(int st) { param.svm_type = st; }
int getSVMType() { return param.svm_type; }
void setKernelType(int kt) { param.kernel_type = kt; }
int getKernelType() { return param.kernel_type; }
void setGamma(double g) { param.gamma = g; }
double getGamma() { return param.gamma; }
void setDegree(int d) { param.degree = d; }
double getDegree() { return param.degree; }
void setCoef0(double c) { param.coef0 = c; }
double getCoef0() { return param.coef0; }
void setC(double c) { param.C = c; }
double getC() { return param.C; }
void setNu(double n) { param.nu = n; }
double getNu() { return param.nu; }
void setEpsilon(double e) { param.p = e; }
double getEpsilon() { return param.p; }
double crossValidate(int nfolds);
int getNRClass();
int getLabels(int* label);
double getSVRProbability();
int checkProbabilityModel();
~SVM();
private:
long nelem;
struct svm_parameter param;
vector<DataSet *> dataset;
struct svm_problem *prob;
struct svm_model *model;
vector<string> freqpatterns;
struct svm_node *x_space;
int randomized;
};
#endif
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