?? svm_nu.h
字號:
#ifndef svm_nu_h
#define svm_nu_h 1
#include "svm_c.h"
/**
* base class for nu SVMs
*
* @author Stefan Rueping <rueping@ls8.cs.uni-dortmund.de>
* @version 0.1
**/
class svm_nu_regression_c : public svm_c{
protected:
SVMFLOAT lambda_nu;
SVMFLOAT lambda_nu_WS;
SVMFLOAT sum_alpha_nu;
SVMFLOAT nu;
virtual void reset_shrinked();
virtual void init(kernel_c* new_kernel, parameters_c* new_parameters);
virtual void init_optimizer();
virtual int is_alpha_neg(const SVMINT i);
virtual SVMFLOAT lambda(const SVMINT i);
virtual int feasible(const SVMINT i);
virtual SVMFLOAT nabla(const SVMINT i);
virtual void project_to_constraint();
virtual int convergence();
virtual void init_working_set();
virtual void shrink();
virtual void optimize();
virtual void print_special_statistics();
public:
svm_nu_regression_c() : svm_c() { lambda_nu = 0; };
};
class svm_nu_pattern_c : public svm_nu_regression_c{
protected:
virtual SVMFLOAT nabla(const SVMINT i);
virtual void init(kernel_c* new_kernel, parameters_c* new_parameters);
virtual void init_optimizer();
virtual void update_working_set();
virtual void init_working_set();
virtual void print_special_statistics();
public:
svm_nu_pattern_c() : svm_nu_regression_c() {};
};
class svm_distribution_c : public svm_pattern_c{
protected:
SVMFLOAT nu;
virtual int is_alpha_neg(const SVMINT i);
virtual SVMFLOAT nabla(const SVMINT i);
virtual SVMFLOAT lambda(const SVMINT i);
virtual int feasible(const SVMINT i);
virtual int feasible(const SVMINT i, SVMFLOAT* the_nabla, SVMFLOAT* the_lambda, int* atbound);
virtual void init(kernel_c* new_kernel, parameters_c* new_parameters);
virtual void init_optimizer();
virtual void project_to_constraint();
virtual int convergence();
virtual void init_working_set();
virtual void print_special_statistics();
public:
svm_distribution_c() : svm_pattern_c() {};
};
#endif
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