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CSNPStringKernel Class Reference

Detailed Description

The class SNPStringKernel computes a variant of the polynomial kernel on strings of same length.

It is computed as FIXME

\[ k({\bf x},{\bf x'})= (\sum_{i=0}^{L-1} I(x_i=x'_i)+c)^d \]

where I is the indicator function which evaluates to 1 if its argument is true and to 0 otherwise.

Note that additional normalisation is applied, i.e.

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

Definition at line 36 of file SNPStringKernel.h.

Inheritance diagram for CSNPStringKernel:
Inheritance graph
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Public Member Functions

 CSNPStringKernel ()
 
 CSNPStringKernel (int32_t size, int32_t degree, int32_t win_len, bool inhomogene)
 
 CSNPStringKernel (CStringFeatures< char > *l, CStringFeatures< char > *r, int32_t degree, int32_t win_len, bool inhomogene)
 
virtual ~CSNPStringKernel ()
 
virtual bool init (CFeatures *l, CFeatures *r)
 
virtual void cleanup ()
 
virtual EKernelType get_kernel_type ()
 
void set_minor_base_string (const char *str)
 
void set_major_base_string (const char *str)
 
char * get_minor_base_string ()
 
char * get_major_base_string ()
 
void obtain_base_strings ()
 
virtual const char * get_name () const
 
virtual void register_params ()
 
- Public Member Functions inherited from CStringKernel< char >
 CStringKernel (int32_t cachesize=0)
 
 CStringKernel (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 More...
 
void set_cache_size (int32_t size)
 
int32_t get_cache_size ()
 
void list_kernel ()
 
bool has_property (EKernelProperty p)
 
virtual void clear_normal ()
 
virtual void add_to_normal (int32_t vector_idx, float64_t weight)
 
EOptimizationType get_optimization_type ()
 
virtual void set_optimization_type (EOptimizationType t)
 
bool get_is_initialized ()
 
virtual bool init_optimization (int32_t count, int32_t *IDX, float64_t *weights)
 
virtual bool delete_optimization ()
 
bool init_optimization_svm (CSVM *svm)
 
virtual float64_t compute_optimized (int32_t vector_idx)
 
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)
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 

Protected Member Functions

virtual float64_t compute (int32_t idx_a, int32_t idx_b)
 
- Protected Member Functions inherited from CKernel
void set_property (EKernelProperty p)
 
void unset_property (EKernelProperty p)
 
void set_is_initialized (bool p_init)
 
int32_t compute_row_start (int64_t offs, int32_t n, bool symmetric)
 
virtual void load_serializable_post () throw (ShogunException)
 
virtual void save_serializable_pre () throw (ShogunException)
 
virtual void save_serializable_post () throw (ShogunException)
 
- Protected Member Functions inherited from CSGObject
virtual void load_serializable_pre () throw (ShogunException)
 

Protected Attributes

int32_t m_degree
 
int32_t m_win_len
 
bool m_inhomogene
 
int32_t m_str_len
 
char * m_str_min
 
char * m_str_maj
 
- Protected Attributes inherited from CKernel
int32_t cache_size
 cache_size in MB More...
 
KERNELCACHE_ELEMkernel_matrix
 
CFeatureslhs
 feature vectors to occur on left hand side More...
 
CFeaturesrhs
 feature vectors to occur on right hand side More...
 
bool lhs_equals_rhs
 lhs More...
 
int32_t num_lhs
 number of feature vectors on left hand side More...
 
int32_t num_rhs
 number of feature vectors on right hand side More...
 
float64_t combined_kernel_weight
 
bool optimization_initialized
 
EOptimizationType opt_type
 
uint64_t properties
 
CKernelNormalizernormalizer
 

Additional Inherited Members

- Public Attributes inherited from CSGObject
SGIOio
 
Parallelparallel
 
Versionversion
 
Parameterm_parameters
 
Parameterm_model_selection_parameters
 
- Static Protected Member Functions inherited from CKernel
template<class T >
static void * get_kernel_matrix_helper (void *p)
 

Constructor & Destructor Documentation

default constructor

Definition at line 20 of file SNPStringKernel.cpp.

CSNPStringKernel ( int32_t  size,
int32_t  degree,
int32_t  win_len,
bool  inhomogene 
)

constructor

Parameters
sizecache size
degreedegree
win_lenlength of local window
inhomogenewhether inhomogeneous poly

Definition at line 29 of file SNPStringKernel.cpp.

CSNPStringKernel ( CStringFeatures< char > *  l,
CStringFeatures< char > *  r,
int32_t  degree,
int32_t  win_len,
bool  inhomogene 
)

constructor

Parameters
lfeatures of left-hand side
rfeatures of right-hand side
degreedegree
win_lenlength of local window
inhomogenewhether inhomogeneous poly

Definition at line 39 of file SNPStringKernel.cpp.

~CSNPStringKernel ( )
virtual

Definition at line 53 of file SNPStringKernel.cpp.

Member Function Documentation

void cleanup ( )
virtual

clean up kernel

Reimplemented from CKernel.

Definition at line 64 of file SNPStringKernel.cpp.

float64_t compute ( int32_t  idx_a,
int32_t  idx_b 
)
protectedvirtual

compute kernel function for features a and b idx_{a,b} denote the index of the feature vectors in the corresponding feature object

Parameters
idx_aindex a
idx_bindex b
Returns
computed kernel function at indices a,b

Implements CKernel.

Definition at line 123 of file SNPStringKernel.cpp.

virtual EKernelType get_kernel_type ( )
virtual

return what type of kernel we are

Returns
kernel type POLYMATCH

Implements CStringKernel< char >.

Definition at line 80 of file SNPStringKernel.h.

char* get_major_base_string ( )

get the base string for major aleles

Returns
major freq. string

Definition at line 116 of file SNPStringKernel.h.

char* get_minor_base_string ( )

get the base string for minor aleles

Returns
minor freq. string

Definition at line 107 of file SNPStringKernel.h.

virtual const char* get_name ( ) const
virtual

return the kernel's name

Returns
name PolyMatchString

Reimplemented from CStringKernel< char >.

Definition at line 128 of file SNPStringKernel.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 CStringKernel< char >.

Definition at line 58 of file SNPStringKernel.cpp.

void obtain_base_strings ( )

compute the minor / major alele base strings

Definition at line 71 of file SNPStringKernel.cpp.

void register_params ( )
virtual

Separate the function of parameter registration This can be the first stage of a general framework for cross-validation or other parameter-based operations

Reimplemented from CKernel.

Definition at line 181 of file SNPStringKernel.cpp.

void set_major_base_string ( const char *  str)

set the base string for major aleles

Parameters
strmajor freq. string

Definition at line 98 of file SNPStringKernel.h.

void set_minor_base_string ( const char *  str)

set the base string for minor aleles

Parameters
strminor freq. string

Definition at line 89 of file SNPStringKernel.h.

Member Data Documentation

int32_t m_degree
protected

degree

Definition at line 147 of file SNPStringKernel.h.

bool m_inhomogene
protected

inhomogeneous poly kernel ?

Definition at line 152 of file SNPStringKernel.h.

int32_t m_str_len
protected

total string length / must match length of min/maj strings and string length of each vector

Definition at line 156 of file SNPStringKernel.h.

char* m_str_maj
protected

allele B

Definition at line 161 of file SNPStringKernel.h.

char* m_str_min
protected

allele A

Definition at line 159 of file SNPStringKernel.h.

int32_t m_win_len
protected

window length

Definition at line 149 of file SNPStringKernel.h.


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

SHOGUN Machine Learning Toolbox - Documentation