class QCMachine

"Quadratic Constrained Machine".

Inheritance:

Public Fields
real* Cup
real* Cdown
real bound_eps
int n_alpha
real* alpha
real* grad
real* y
QCCache* cache

Public Methods
QCMachine()
virtual void checkSupportVectors() = 0: Function called by QCTrainer after the optimization.

Inherited from Machine:

Public Fields
Sequence* outputs

Public Methods
virtual void forward(Sequence* sequence)
virtual void reset()
virtual void setDataSet(DataSet* dataset_)

Inherited from Object:

Public Fields
Allocator* allocator

Public Methods
void addOption(const char* name, int size, void* ptr, const char* help="")
void addIOption(const char* name, int* ptr, int init_value, const char* help="")
void addROption(const char* name, real* ptr, real init_value, const char* help="")
void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")
void addOOption(const char* name, Object** ptr, Object* init_value, const char* help="")
void setOption(const char* name, void* ptr)
void setIOption(const char* name, int option)
void setROption(const char* name, real option)
void setBOption(const char* name, bool option)
void setOOption(const char* name, Object* option)
virtual void loadXFile(XFile* file)
virtual void saveXFile(XFile* file)
void load(const char* filename)
void save(const char* filename)
void* operator new(size_t size, Allocator* allocator_=NULL)
void* operator new(size_t size, Allocator* allocator_, void* ptr_)
void operator delete(void* ptr)

Documentation

"Quadratic Constrained Machine". It's a machine with alpha parameters which are the minimum of a constrained quadratic problem.
The problem:
minimize
with the following constraints:

where , , are given by the user and must be .
The number of alpha variable is determined here by l. (Therefore, it determines the size of de Cup, Cdown et y...)
Note: if is closed to [ou ] with the accuracy "eps bounds", is considered to be equal to [ou ].
Options:

"eps bounds" real bound accuracy: [1E-4 in float, 1E-12 in double]