?? 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?? 快捷鍵說明
復制代碼
Ctrl + C
搜索代碼
Ctrl + F
全屏模式
F11
切換主題
Ctrl + Shift + D
顯示快捷鍵
?
增大字號
Ctrl + =
減小字號
Ctrl + -