class SVM

Support Vector Machine.

Inheritance:

Public Fields

Allocator* sv_allocator

To allocate all stuff related to support vectors

IOSequenceArray* io_sequence_array

Give the sequence-format

DataSet* data

The dataset associated to the SVM

Kernel* kernel

The kernel associated to the SVM

real b

int* support_vectors

The support vectors

real* sv_alpha

sv_alpha[i] is the weight of the SV i

Sequence** sv_sequences

SV sequences

int n_support_vectors

The number of support vectors

int n_support_vectors_bound

The number of support vectors which are at the bound "C"

Public Methods

SVM(Kernel* kernel_, IOSequenceArray* io_sequence_array_=NULL)

bool bCompute()

Computes the b

Inherited from QCMachine:

Public Fields

real* Cup

real* Cdown

real bound_eps

int n_alpha

real* alpha

real* grad

real* y

QCCache* cache

Public Methods

virtual void checkSupportVectors()

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

Support Vector Machine.

The Q matrix of QCMachine is in this case , where is a kernel and is the i-th example of data/

The goal is to looking for the alpha and b which are the best in a SVM-sense.

The learning function is

Allocator* sv_allocator

To allocate all stuff related to support vectors

IOSequenceArray* io_sequence_array

Give the sequence-format

DataSet* data

The dataset associated to the SVM

Kernel* kernel

The kernel associated to the SVM

real b

int* support_vectors

The support vectors

real* sv_alpha

sv_alpha[i] is the weight of the SV i

Sequence** sv_sequences

SV sequences

int n_support_vectors

The number of support vectors

int n_support_vectors_bound

The number of support vectors which are at the bound "C"

SVM(Kernel* kernel_, IOSequenceArray* io_sequence_array_=NULL)

bool bCompute()

Computes the b

Direct child classes:

SVMRegression
SVMClassification

Author:

Ronan Collobert (collober@idiap.ch)

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