/usr/include/BALL/QSAR/libsvmModel.h is in libball1.4-dev 1.4.3~beta1-3.
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// vi: set ts=2:
//
//
#ifndef LIBSVMMODELH
#define LIBSVMMODELH
#ifndef SVRMODEL
#include <BALL/QSAR/svrModel.h>
#endif
#include <fstream>
#include <svm.h>
namespace BALL
{
namespace QSAR
{
class BALL_EXPORT LibsvmModel : public SVRModel
{
public:
/** @name Constructors and Destructors
*/
//@{
LibsvmModel(const QSARData& q, int k_type, double p1, double p2=-1);
virtual ~LibsvmModel();
//@}
/** @name Accessors
*/
//@{
void train();
//RowVector predict(const vector<double>& substance, bool transform=1);
void setParameters(vector<double>& v);
virtual vector<double> getParameters() const;
//@}
private:
// part of libsvm; unfortunately defined in svm.C instead of svm.h, so that we need this hack ...
struct svm_model
{
svm_parameter param; // parameter
int nr_class; // number of classes, = 2 in regression/one class svm
int l; // total #SV
svm_node **SV; // SVs (SV[l])
double **sv_coef; // coefficients for SVs in decision functions (sv_coef[k-1][l])
double *rho; // constants in decision functions (rho[k*(k-1)/2])
double *probA; // pariwise probability information
double *probB;
// for classification only
int *label; // label of each class (label[k])
int *nSV; // number of SVs for each class (nSV[k])
// nSV[0] + nSV[1] + ... + nSV[k-1] = l
// XXX
int free_sv; // 1 if svm_model is created by svm_load_model
// 0 if svm_model is created by svm_train
};
struct svm_problem* createProblem(int response_id);
void createParameters();
struct svm_model* svm_train_result_;
struct svm_parameter parameters_;
struct svm_node* x_space_;
/** determines whether nu-SVR is to be used; else eps-SVR is applied */
bool use_nu_;
/** determines whether the libsvm shrinking heuristics is to be used */
bool use_shrinking_;
double nu_;
double p_;
double eps_;
double C_;
};
}
}
#endif // LIBSVMMODELH
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