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CLinearKernel Class Reference

Detailed Description

Computes the standard linear kernel on CDotFeatures.

Formally, it computes

\[ k({\bf x},{\bf x'})= {\bf x}\cdot {\bf x'} \]

Definition at line 33 of file LinearKernel.h.

Inheritance diagram for CLinearKernel:
Inheritance graph
[legend]

Public Member Functions

 CLinearKernel ()
 CLinearKernel (CDotFeatures *l, CDotFeatures *r)
virtual ~CLinearKernel ()
virtual bool init (CFeatures *l, CFeatures *r)
virtual void cleanup ()
virtual EKernelType get_kernel_type ()
virtual const char * get_name () const
virtual bool init_optimization (int32_t num_suppvec, int32_t *sv_idx, float64_t *alphas)
virtual bool init_optimization (CKernelMachine *km)
virtual bool delete_optimization ()
virtual float64_t compute_optimized (int32_t idx)
virtual void clear_normal ()
virtual void add_to_normal (int32_t idx, float64_t weight)
const float64_tget_normal (int32_t &len)
void get_w (float64_t **dst_w, int32_t *dst_dims)
void set_w (float64_t *src_w, int32_t src_w_dim)
- Public Member Functions inherited from CDotKernel
 CDotKernel ()
 CDotKernel (int32_t cachesize)
 CDotKernel (CFeatures *l, CFeatures *r)
virtual EFeatureClass get_feature_class ()
virtual EFeatureType get_feature_type ()
- Public Member Functions inherited from CKernel
 CKernel ()
 CKernel (int32_t size)
 CKernel (CFeatures *l, CFeatures *r, int32_t size)
virtual ~CKernel ()
float64_t kernel (int32_t idx_a, int32_t idx_b)
SGMatrix< float64_tget_kernel_matrix ()
virtual SGVector< float64_tget_kernel_col (int32_t j)
virtual SGVector< float64_tget_kernel_row (int32_t i)
template<class T >
SGMatrix< T > get_kernel_matrix ()
virtual bool set_normalizer (CKernelNormalizer *normalizer)
virtual CKernelNormalizerget_normalizer ()
virtual bool init_normalizer ()
void load (CFile *loader)
void save (CFile *writer)
CFeaturesget_lhs ()
CFeaturesget_rhs ()
virtual int32_t get_num_vec_lhs ()
virtual int32_t get_num_vec_rhs ()
virtual bool has_features ()
bool get_lhs_equals_rhs ()
virtual void remove_lhs_and_rhs ()
virtual void remove_lhs ()
virtual void remove_rhs ()
 takes all necessary steps if the rhs is removed from kernel
void set_cache_size (int32_t size)
int32_t get_cache_size ()
void list_kernel ()
bool has_property (EKernelProperty p)
EOptimizationType get_optimization_type ()
virtual void set_optimization_type (EOptimizationType t)
bool get_is_initialized ()
bool init_optimization_svm (CSVM *svm)
virtual void compute_batch (int32_t num_vec, int32_t *vec_idx, float64_t *target, int32_t num_suppvec, int32_t *IDX, float64_t *alphas, float64_t factor=1.0)
float64_t get_combined_kernel_weight ()
void set_combined_kernel_weight (float64_t nw)
virtual int32_t get_num_subkernels ()
virtual void compute_by_subkernel (int32_t vector_idx, float64_t *subkernel_contrib)
virtual const float64_tget_subkernel_weights (int32_t &num_weights)
virtual void set_subkernel_weights (SGVector< float64_t > weights)
- Public Member Functions inherited from CSGObject
 CSGObject ()
 CSGObject (const CSGObject &orig)
virtual ~CSGObject ()
virtual bool is_generic (EPrimitiveType *generic) const
template<class T >
void set_generic ()
void unset_generic ()
virtual void print_serializable (const char *prefix="")
virtual bool save_serializable (CSerializableFile *file, const char *prefix="")
virtual bool load_serializable (CSerializableFile *file, const char *prefix="")
void set_global_io (SGIO *io)
SGIOget_global_io ()
void set_global_parallel (Parallel *parallel)
Parallelget_global_parallel ()
void set_global_version (Version *version)
Versionget_global_version ()
SGVector< char * > get_modelsel_names ()
char * get_modsel_param_descr (const char *param_name)
index_t get_modsel_param_index (const char *param_name)

Protected Attributes

float64_tnormal
int32_t normal_length

Additional Inherited Members

- Public Attributes inherited from CSGObject
SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_model_selection_parameters
- Protected Member Functions inherited from CDotKernel
virtual float64_t compute (int32_t idx_a, int32_t idx_b)
- Static Protected Member Functions inherited from CKernel
template<class T >
static void * get_kernel_matrix_helper (void *p)

Constructor & Destructor Documentation

constructor

Definition at line 20 of file LinearKernel.cpp.

constructor

Parameters
lfeatures of left-hand side
rfeatures of right-hand side

Definition at line 26 of file LinearKernel.cpp.

~CLinearKernel ( )
virtual

Definition at line 33 of file LinearKernel.cpp.

Member Function Documentation

void add_to_normal ( int32_t  idx,
float64_t  weight 
)
virtual

add to normal vector

Parameters
idxwhere to add
weightwhat to add

Reimplemented from CKernel.

Definition at line 66 of file LinearKernel.cpp.

void cleanup ( )
virtual

clean up kernel

Reimplemented from CKernel.

Definition at line 45 of file LinearKernel.cpp.

void clear_normal ( )
virtual

clear normal vector

Reimplemented from CKernel.

Definition at line 52 of file LinearKernel.cpp.

float64_t compute_optimized ( int32_t  idx)
virtual

compute optimized

Parameters
idxindex to compute
Returns
optimized value at given index

Reimplemented from CKernel.

Definition at line 108 of file LinearKernel.cpp.

bool delete_optimization ( )
virtual

delete optimization

Returns
if deleting was successful

Reimplemented from CKernel.

Definition at line 98 of file LinearKernel.cpp.

virtual EKernelType get_kernel_type ( )
virtual

return what type of kernel we are

Returns
kernel type LINEAR

Implements CDotKernel.

Definition at line 64 of file LinearKernel.h.

virtual const char* get_name ( ) const
virtual

return the kernel's name

Returns
name Lineaer

Reimplemented from CDotKernel.

Definition at line 70 of file LinearKernel.h.

const float64_t* get_normal ( int32_t &  len)

get normal

Parameters
lenwhere length of normal vector will be stored
Returns
normal vector

Definition at line 116 of file LinearKernel.h.

void get_w ( float64_t **  dst_w,
int32_t *  dst_dims 
)

get normal vector (swig compatible)

Parameters
dst_wstore w in this argument
dst_dimsdimension of w

Definition at line 135 of file LinearKernel.h.

bool init ( CFeatures l,
CFeatures r 
)
virtual

initialize kernel

Parameters
lfeatures of left-hand side
rfeatures of right-hand side
Returns
if initializing was successful

Reimplemented from CDotKernel.

Definition at line 38 of file LinearKernel.cpp.

bool init_optimization ( int32_t  num_suppvec,
int32_t *  sv_idx,
float64_t alphas 
)
virtual

optimizable kernel, i.e. precompute normal vector and as phi(x) = x do scalar product in input space

Parameters
num_suppvecnumber of support vectors
sv_idxsupport vector index
alphasalphas
Returns
if optimization was successful

Reimplemented from CKernel.

Definition at line 73 of file LinearKernel.cpp.

bool init_optimization ( CKernelMachine km)
virtual

init optimization

Parameters
km

Definition at line 85 of file LinearKernel.cpp.

void set_w ( float64_t src_w,
int32_t  src_w_dim 
)

set normal vector (swig compatible)

Parameters
src_wnew w
src_w_dimdimension of new w - must fit dim of lhs

Definition at line 151 of file LinearKernel.h.

Member Data Documentation

float64_t* normal
protected

normal vector (used in case of optimized kernel)

Definition at line 160 of file LinearKernel.h.

int32_t normal_length
protected

length of normal vector

Definition at line 162 of file LinearKernel.h.


The documentation for this class was generated from the following files:

SHOGUN Machine Learning Toolbox - Documentation