SHOGUN
6.0.0
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The Combined kernel is used to combine a number of kernels into a single CombinedKernel object by linear combination.
It keeps pointers to the added sub-kernels \(k_m({\bf x}, {\bf x'})\) and for each sub-kernel - a kernel specific weight \(\beta_m\).
It is especially useful to combine kernels working on different domains and to combine kernels looking at independent features and requires CCombinedFeatures to be used.
It is defined as:
\[ k_{combined}({\bf x}, {\bf x'}) = \sum_{m=1}^M \beta_m k_m({\bf x}, {\bf x'}) \]
Definition at line 49 of file CombinedKernel.h.
Public Member Functions | |
CCombinedKernel (int32_t size=10, bool append_subkernel_weights=false) | |
virtual | ~CCombinedKernel () |
virtual bool | init (CFeatures *lhs, CFeatures *rhs) |
virtual void | cleanup () |
virtual EKernelType | get_kernel_type () |
virtual EFeatureType | get_feature_type () |
virtual EFeatureClass | get_feature_class () |
virtual const char * | get_name () const |
void | list_kernels () |
CKernel * | get_first_kernel () |
CKernel * | get_kernel (int32_t idx) |
CKernel * | get_last_kernel () |
bool | insert_kernel (CKernel *k, int32_t idx) |
bool | append_kernel (CKernel *k) |
bool | delete_kernel (int32_t idx) |
bool | get_append_subkernel_weights () |
int32_t | get_num_subkernels () |
int32_t | get_num_kernels () |
virtual bool | has_features () |
virtual void | remove_lhs () |
virtual void | remove_rhs () |
virtual void | remove_lhs_and_rhs () |
virtual bool | init_optimization (int32_t count, int32_t *IDX, float64_t *weights) |
virtual bool | delete_optimization () |
virtual float64_t | compute_optimized (int32_t 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) |
void | emulate_compute_batch (CKernel *k, int32_t num_vec, int32_t *vec_idx, float64_t *target, int32_t num_suppvec, int32_t *IDX, float64_t *weights) |
virtual void | add_to_normal (int32_t idx, float64_t weight) |
virtual void | clear_normal () |
virtual void | compute_by_subkernel (int32_t idx, float64_t *subkernel_contrib) |
virtual const float64_t * | get_subkernel_weights (int32_t &num_weights) |
virtual SGVector< float64_t > | get_subkernel_weights () |
virtual void | set_subkernel_weights (SGVector< float64_t > weights) |
virtual void | set_optimization_type (EOptimizationType t) |
bool | precompute_subkernels () |
SGMatrix< float64_t > | get_parameter_gradient (const TParameter *param, index_t index=-1) |
CDynamicObjectArray * | get_array () |
virtual void | enable_subkernel_weight_learning () |
float64_t | kernel (int32_t idx_a, int32_t idx_b) |
SGMatrix< float64_t > | get_kernel_matrix () |
template<class T > | |
SGMatrix< T > | get_kernel_matrix () |
SGVector< float64_t > | get_kernel_diagonal (SGVector< float64_t > preallocated=SGVector< float64_t >()) |
virtual SGVector< float64_t > | get_kernel_col (int32_t j) |
virtual SGVector< float64_t > | get_kernel_row (int32_t i) |
virtual float64_t | sum_symmetric_block (index_t block_begin, index_t block_size, bool no_diag=true) |
virtual float64_t | sum_block (index_t block_begin_row, index_t block_begin_col, index_t block_size_row, index_t block_size_col, bool no_diag=false) |
virtual SGVector< float64_t > | row_wise_sum_symmetric_block (index_t block_begin, index_t block_size, bool no_diag=true) |
virtual SGMatrix< float64_t > | row_wise_sum_squared_sum_symmetric_block (index_t block_begin, index_t block_size, bool no_diag=true) |
virtual SGVector< float64_t > | row_col_wise_sum_block (index_t block_begin_row, index_t block_begin_col, index_t block_size_row, index_t block_size_col, bool no_diag=false) |
virtual bool | set_normalizer (CKernelNormalizer *normalizer) |
virtual CKernelNormalizer * | get_normalizer () |
virtual bool | init_normalizer () |
void | load (CFile *loader) |
void | save (CFile *writer) |
CFeatures * | get_lhs () |
CFeatures * | get_rhs () |
virtual int32_t | get_num_vec_lhs () |
virtual int32_t | get_num_vec_rhs () |
bool | get_lhs_equals_rhs () |
void | set_cache_size (int32_t size) |
int32_t | get_cache_size () |
void | list_kernel () |
bool | has_property (EKernelProperty p) |
EOptimizationType | get_optimization_type () |
bool | get_is_initialized () |
bool | init_optimization_svm (CSVM *svm) |
float64_t | get_combined_kernel_weight () |
void | set_combined_kernel_weight (float64_t nw) |
virtual SGVector< float64_t > | get_parameter_gradient_diagonal (const TParameter *param, index_t index=-1) |
virtual CSGObject * | shallow_copy () const |
virtual CSGObject * | deep_copy () const |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
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 () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
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) |
SGIO * | get_global_io () |
void | set_global_parallel (Parallel *parallel) |
Parallel * | get_global_parallel () |
void | set_global_version (Version *version) |
Version * | get_global_version () |
SGStringList< char > | get_modelsel_names () |
void | print_modsel_params () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
void | build_gradient_parameter_dictionary (CMap< TParameter *, CSGObject *> *dict) |
bool | has (const std::string &name) const |
template<typename T > | |
bool | has (const Tag< T > &tag) const |
template<typename T , typename U = void> | |
bool | has (const std::string &name) const |
template<typename T > | |
void | set (const Tag< T > &_tag, const T &value) |
template<typename T , typename U = void> | |
void | set (const std::string &name, const T &value) |
template<typename T > | |
T | get (const Tag< T > &_tag) const |
template<typename T , typename U = void> | |
T | get (const std::string &name) const |
virtual void | update_parameter_hash () |
virtual bool | parameter_hash_changed () |
virtual bool | equals (CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) |
virtual CSGObject * | clone () |
Static Public Member Functions | |
static CCombinedKernel * | obtain_from_generic (CKernel *kernel) |
static CList * | combine_kernels (CList *kernel_list) |
static CKernel * | obtain_from_generic (CSGObject *kernel) |
Public Attributes | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
uint32_t | m_hash |
Protected Member Functions | |
virtual void | init_subkernel_weights () |
virtual float64_t | compute (int32_t x, int32_t y) |
void | adjust_num_lhs_rhs_initialized (CKernel *k) |
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) |
virtual void | register_params () |
virtual void | load_serializable_pre () throw (ShogunException) |
template<typename T > | |
void | register_param (Tag< T > &_tag, const T &value) |
template<typename T > | |
void | register_param (const std::string &name, const T &value) |
bool | clone_parameters (CSGObject *other) |
Static Protected Member Functions | |
template<class T > | |
static void * | get_kernel_matrix_helper (void *p) |
Protected Attributes | |
CDynamicObjectArray * | kernel_array |
int32_t | sv_count |
int32_t * | sv_idx |
float64_t * | sv_weight |
float64_t * | subkernel_weights_buffer |
bool | append_subkernel_weights |
bool | initialized |
SGVector< float64_t > | subkernel_log_weights |
bool | enable_subkernel_weight_opt |
bool | weight_update |
int32_t | cache_size |
cache_size in MB More... | |
KERNELCACHE_ELEM * | kernel_matrix |
CFeatures * | lhs |
feature vectors to occur on left hand side More... | |
CFeatures * | rhs |
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 |
CKernelNormalizer * | normalizer |
CCombinedKernel | ( | int32_t | size = 10 , |
bool | append_subkernel_weights = false |
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constructor
size | cache size |
append_subkernel_weights | if subkernel weights shall be appended |
Definition at line 28 of file CombinedKernel.cpp.
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virtual |
Definition at line 39 of file CombinedKernel.cpp.
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add to normal vector
idx | where to add |
weight | what to add |
Reimplemented from CKernel.
Definition at line 464 of file CombinedKernel.cpp.
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adjust the variables num_lhs, num_rhs and initialized based on the kernel to be appended/inserted
k | kernel |
Definition at line 416 of file CombinedKernel.h.
bool append_kernel | ( | CKernel * | k | ) |
append kernel to the end of the array
k | kernel |
Definition at line 162 of file CombinedKernel.h.
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inherited |
Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
Definition at line 630 of file SGObject.cpp.
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virtual |
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Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.
Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicObjectArray, CAlphabet, and CMKL.
Definition at line 729 of file SGObject.cpp.
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protectedinherited |
Definition at line 754 of file SGObject.cpp.
Returns a list of all the different CombinedKernels produced by the cross-product between the kernel lists The returned list performs reference counting on the contained CombinedKernels.
kernel_list | a list of lists of kernels. Each sub-list must contain kernels of the same type |
Definition at line 822 of file CombinedKernel.cpp.
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compute kernel function
x | x |
y | y |
Implements CKernel.
Definition at line 263 of file CombinedKernel.cpp.
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computes output for a batch of examples in an optimized fashion (favorable if kernel supports it, i.e. has KP_BATCHEVALUATION. to the outputvector target (of length num_vec elements) the output for the examples enumerated in vec_idx are added. therefore make sure that it is initialized with ZERO. the following num_suppvec, IDX, alphas arguments are the number of support vectors, their indices and weights
Reimplemented from CKernel.
Definition at line 350 of file CombinedKernel.cpp.
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compute by subkernel
idx | index |
subkernel_contrib | subkernel contribution |
Reimplemented from CKernel.
Definition at line 486 of file CombinedKernel.cpp.
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compute optimized
idx | index to compute |
Reimplemented from CKernel.
Definition at line 421 of file CombinedKernel.cpp.
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compute row start offset for parallel kernel matrix computation
offs | offset |
n | number of columns |
symmetric | whether matrix is symmetric |
Definition at line 802 of file kernel/Kernel.h.
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A deep copy. All the instance variables will also be copied.
Definition at line 231 of file SGObject.cpp.
bool delete_kernel | ( | int32_t | idx | ) |
delete kernel
idx | the index of the kernel to delete |
Definition at line 185 of file CombinedKernel.h.
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delete optimization
Reimplemented from CKernel.
Definition at line 327 of file CombinedKernel.cpp.
void emulate_compute_batch | ( | CKernel * | k, |
int32_t | num_vec, | ||
int32_t * | vec_idx, | ||
float64_t * | target, | ||
int32_t | num_suppvec, | ||
int32_t * | IDX, | ||
float64_t * | weights | ||
) |
emulates batch computation, via linadd optimization w^t x or even down to sum_i alpha_i K(x_i,x)
k | kernel |
num_vec | number of vectors |
vec_idx | vector index |
target | target |
num_suppvec | number of support vectors |
IDX | IDX |
weights | weights |
Definition at line 381 of file CombinedKernel.cpp.
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Enable to find weight for subkernels during model selection
Definition at line 686 of file CombinedKernel.cpp.
Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!
May be overwritten but please do with care! Should not be necessary in most cases.
other | object to compare with |
accuracy | accuracy to use for comparison (optional) |
tolerant | allows linient check on float equality (within accuracy) |
Definition at line 651 of file SGObject.cpp.
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Getter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.
_tag | name and type information of parameter |
Definition at line 376 of file SGObject.h.
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Getter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.
name | name of the parameter |
Definition at line 399 of file SGObject.h.
bool get_append_subkernel_weights | ( | ) |
check if subkernel weights are appended
Definition at line 205 of file CombinedKernel.h.
CDynamicObjectArray* get_array | ( | ) |
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return the size of the kernel cache
Definition at line 594 of file kernel/Kernel.h.
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get combined kernel weight
Definition at line 685 of file kernel/Kernel.h.
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return feature class the kernel can deal with
Implements CKernel.
Definition at line 97 of file CombinedKernel.h.
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return feature type the kernel can deal with
Implements CKernel.
Definition at line 88 of file CombinedKernel.h.
CKernel* get_first_kernel | ( | ) |
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check if optimization is initialized
Definition at line 636 of file kernel/Kernel.h.
CKernel* get_kernel | ( | int32_t | idx | ) |
get kernel
idx | index of kernel |
Definition at line 125 of file CombinedKernel.h.
get column j
Definition at line 260 of file kernel/Kernel.h.
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preallocated | vector with space for results |
Definition at line 228 of file kernel/Kernel.h.
get kernel matrix
Definition at line 217 of file kernel/Kernel.h.
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staticprotectedinherited |
helper for computing the kernel matrix in a parallel way
p | thread parameters |
Definition at line 799 of file Kernel.cpp.
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return what type of kernel we are
Implements CKernel.
Definition at line 79 of file CombinedKernel.h.
CKernel* get_last_kernel | ( | ) |
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get left-hand side of features used in kernel
Definition at line 502 of file kernel/Kernel.h.
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test whether features on lhs and rhs are the same
Definition at line 541 of file kernel/Kernel.h.
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Definition at line 531 of file SGObject.cpp.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
Definition at line 555 of file SGObject.cpp.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
Definition at line 568 of file SGObject.cpp.
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return the kernel's name
Implements CSGObject.
Definition at line 106 of file CombinedKernel.h.
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obtain the current kernel normalizer
Definition at line 145 of file Kernel.cpp.
int32_t get_num_kernels | ( | ) |
get number of contained kernels
Definition at line 236 of file CombinedKernel.h.
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get number of subkernels
Reimplemented from CKernel.
Definition at line 214 of file CombinedKernel.h.
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get number of vectors of lhs features
Reimplemented in CCustomKernel.
Definition at line 514 of file kernel/Kernel.h.
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get number of vectors of rhs features
Reimplemented in CCustomKernel.
Definition at line 523 of file kernel/Kernel.h.
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return derivative with respect to specified parameter
param | the parameter |
index | the index of the element if parameter is a vector |
Reimplemented from CKernel.
Definition at line 700 of file CombinedKernel.cpp.
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return diagonal part of derivative with respect to specified parameter
param | the parameter |
index | the index of the element if parameter is a vector |
Reimplemented in CGaussianARDKernel, and CGaussianARDSparseKernel.
Definition at line 747 of file kernel/Kernel.h.
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get right-hand side of features used in kernel
Definition at line 508 of file kernel/Kernel.h.
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get subkernel weights
num_weights | where number of weights is stored |
Reimplemented from CKernel.
Definition at line 521 of file CombinedKernel.cpp.
get subkernel weights (swig compatible)
Reimplemented from CKernel.
Definition at line 565 of file CombinedKernel.cpp.
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Checks if object has a class parameter identified by a name.
name | name of the parameter |
Definition at line 299 of file SGObject.h.
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Checks if object has a class parameter identified by a Tag.
tag | tag of the parameter containing name and type information |
Definition at line 310 of file SGObject.h.
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Checks if a type exists for a class parameter identified by a name.
name | name of the parameter |
Definition at line 321 of file SGObject.h.
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test whether features have been assigned to lhs and rhs
Reimplemented from CKernel.
Definition at line 245 of file CombinedKernel.h.
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check if kernel has given property
p | kernel property |
Definition at line 606 of file kernel/Kernel.h.
initialize kernel. Provided features have to be combined features. If they are not, all subkernels are tried to be initialised with the single same passed features objects
lhs | features of left-hand side |
rhs | features of right-hand side |
Reimplemented from CKernel.
Definition at line 68 of file CombinedKernel.cpp.
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initialize the current kernel normalizer
Definition at line 151 of file Kernel.cpp.
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initialize optimization
count | count |
IDX | index |
weights | weights |
Reimplemented from CKernel.
Definition at line 277 of file CombinedKernel.cpp.
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initialize optimization
svm | svm model |
Definition at line 422 of file Kernel.cpp.
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Definition at line 50 of file CombinedKernel.cpp.
bool insert_kernel | ( | CKernel * | k, |
int32_t | idx | ||
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insert kernel at position idx idx must be < num_kernels
k | kernel |
idx | the index of the position where the kernel should be added |
Definition at line 146 of file CombinedKernel.h.
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If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.
generic | set to the type of the generic if returning TRUE |
Definition at line 329 of file SGObject.cpp.
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get kernel function for lhs feature vector a and rhs feature vector b
idx_a | index of feature vector a |
idx_b | index of feature vector b |
Definition at line 204 of file kernel/Kernel.h.
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list kernel
Definition at line 219 of file Kernel.cpp.
void list_kernels | ( | ) |
list kernels
Definition at line 249 of file CombinedKernel.cpp.
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load the kernel matrix
loader | File object via which to load data |
Definition at line 163 of file Kernel.cpp.
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Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!
file | where to load from |
prefix | prefix for members |
Definition at line 402 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented from CSGObject.
Reimplemented in CWeightedDegreePositionStringKernel, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.
Definition at line 440 of file Kernel.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.
Definition at line 454 of file SGObject.cpp.
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Returns a casted version of the given kernel. Throws an error if parameter is not of class CombinedKernel. SG_REF's the returned kernel
kernel | kernel to cast to CombinedKernel |
Definition at line 809 of file CombinedKernel.cpp.
Obtains a kernel from a generic SGObject with error checking. Note that if passing NULL, result will be NULL
kernel | Object to cast to CKernel, is *not* SG_REFed |
Definition at line 408 of file Kernel.cpp.
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virtualinherited |
Definition at line 295 of file SGObject.cpp.
bool precompute_subkernels | ( | ) |
precompute all sub-kernels
Definition at line 628 of file CombinedKernel.cpp.
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prints all parameter registered for model selection and their type
Definition at line 507 of file SGObject.cpp.
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virtualinherited |
prints registered parameters out
prefix | prefix for members |
Definition at line 341 of file SGObject.cpp.
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protectedinherited |
Registers a class parameter which is identified by a tag. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.
_tag | name and type information of parameter |
value | value of the parameter |
Definition at line 450 of file SGObject.h.
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protectedinherited |
Registers a class parameter which is identified by a name. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.
name | name of the parameter |
value | value of the parameter along with type information |
Definition at line 463 of file SGObject.h.
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protectedvirtualinherited |
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 in CSpectrumMismatchRBFKernel, CSNPStringKernel, CANOVAKernel, CSubsequenceStringKernel, CGaussianMatchStringKernel, CGaussianShortRealKernel, CTensorProductPairKernel, CDistanceKernel, and CHistogramIntersectionKernel.
Definition at line 463 of file Kernel.cpp.
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remove lhs from kernel
Reimplemented from CKernel.
Definition at line 179 of file CombinedKernel.cpp.
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remove lhs and rhs from kernel
Reimplemented from CKernel.
Definition at line 213 of file CombinedKernel.cpp.
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remove rhs from kernel
Reimplemented from CKernel.
Definition at line 196 of file CombinedKernel.cpp.
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virtualinherited |
Computes row-wise/col-wise sum of kernel values. This method is useful while computing statistical estimation of mean/variance over kernel values but the kernel matrix is too huge to be fit inside memory.
block_begin_row | the row index at which the block starts |
block_begin_col | the col index at which the block starts |
block_size_row | the number of rows in the block |
block_size_col | the number of cols in the block |
For Example, block_begin_row 0, block_begin_col 4 and block_size_row 5, block_size_col 6 represents the block that starts at index (0,4) in the kernel matrix and goes upto (0+5-1,4+6-1) i.e. (4,9) both inclusive
no_diag | if true (default is false), the diagonal elements are excluded from the row/col-wise sum, provided that block_size_row and block_size_col are same (i.e. the block is square). Otherwise, these are always added |
\[ v[i]=\sum_{j}k(i+\text{block-begin-row}, j+\text{block-begin-col}) \]
and rest block_size_col entries col-wise sum of kernel values computed as\[ v[\text{block-size-row}+j]=\sum_{i}k(i+\text{block-begin-row}, j+\text{block-begin-col}) \]
where \(i\in[0,\text{block-size-row}-1]\) and \(j\in[0,\text{block-size-col}-1]\)Reimplemented in CCustomKernel.
Definition at line 745 of file Kernel.cpp.
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virtualinherited |
Computes row-wise/col-wise sum and squared sum of kernel values from a symmetric part of the kernel matrix that always is supposed to contain the main upper diagonal. This method is useful while computing statistical estimation of mean/variance over kernel values but the kernel matrix is too huge to be fit inside memory.
block_begin | the row and col index at which the block starts |
block_size | the number of rows and cols in the block |
For Example, block_begin 4 and block_size 5 represents the block that starts at index (4,4) in the kernel matrix and goes upto (4+5-1,4+5-1) i.e. (8,8) both inclusive
no_diag | if true (default), the diagonal elements are excluded from the row/col-wise sum |
\[ v_0[i]=\sum_{j}k(i+\text{block-begin}, j+\text{block-begin}) \]
and second column contains the row-wise sum of squared kernel values\[ v_1[i]=\sum_{j}^k^2(i+\text{block-begin}, j+\text{block-begin}) \]
where \(i,j\in[0,\text{block-size}-1]\)Reimplemented in CCustomKernel.
Definition at line 686 of file Kernel.cpp.
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virtualinherited |
Computes row-wise/col-wise sum from a symmetric part of the kernel matrix that always is supposed to contain the main upper diagonal. This method is useful while computing statistical estimation of mean/variance over kernel values but the kernel matrix is too huge to be fit inside memory.
block_begin | the row and col index at which the block starts |
block_size | the number of rows and cols in the block |
For Example, block_begin 4 and block_size 5 represents the block that starts at index (4,4) in the kernel matrix and goes upto (4+5-1,4+5-1) i.e. (8,8) both inclusive
no_diag | if true (default), the diagonal elements are excluded from the row/col-wise sum |
\[ v[i]=\sum_{j}k(i+\text{block-begin}, j+\text{block-begin}) \]
where \(i,j\in[0,\text{block-size}-1]\)Reimplemented in CCustomKernel.
Definition at line 632 of file Kernel.cpp.
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inherited |
save kernel matrix
writer | File object via which to save data |
Definition at line 169 of file Kernel.cpp.
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virtualinherited |
Save this object to file.
file | where to save the object; will be closed during returning if PREFIX is an empty string. |
prefix | prefix for members |
Definition at line 347 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented from CSGObject.
Definition at line 455 of file Kernel.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented from CSGObject.
Definition at line 447 of file Kernel.cpp.
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inherited |
Setter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.
_tag | name and type information of parameter |
value | value of the parameter |
Definition at line 337 of file SGObject.h.
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inherited |
Setter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.
name | name of the parameter |
value | value of the parameter along with type information |
Definition at line 363 of file SGObject.h.
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inherited |
set the size of the kernel cache
size | of kernel cache |
Definition at line 584 of file kernel/Kernel.h.
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inherited |
set combined kernel weight
nw | new combined kernel weight |
Definition at line 691 of file kernel/Kernel.h.
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inherited |
Definition at line 74 of file SGObject.cpp.
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inherited |
Definition at line 79 of file SGObject.cpp.
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inherited |
Definition at line 84 of file SGObject.cpp.
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inherited |
Definition at line 89 of file SGObject.cpp.
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inherited |
Definition at line 94 of file SGObject.cpp.
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inherited |
Definition at line 99 of file SGObject.cpp.
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inherited |
Definition at line 104 of file SGObject.cpp.
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inherited |
Definition at line 109 of file SGObject.cpp.
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inherited |
Definition at line 114 of file SGObject.cpp.
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inherited |
Definition at line 119 of file SGObject.cpp.
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inherited |
Definition at line 124 of file SGObject.cpp.
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inherited |
Definition at line 129 of file SGObject.cpp.
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inherited |
Definition at line 134 of file SGObject.cpp.
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inherited |
Definition at line 139 of file SGObject.cpp.
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inherited |
Definition at line 144 of file SGObject.cpp.
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inherited |
set generic type to T
|
inherited |
|
inherited |
set the parallel object
parallel | parallel object to use |
Definition at line 274 of file SGObject.cpp.
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inherited |
set the version object
version | version object to use |
Definition at line 316 of file SGObject.cpp.
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protectedinherited |
set is initialized
p_init | if optimization shall be set to initialized |
Definition at line 782 of file kernel/Kernel.h.
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virtualinherited |
set the current kernel normalizer
Reimplemented in CWeightedDegreeStringKernel.
Definition at line 133 of file Kernel.cpp.
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virtual |
set optimization type
t | optimization type |
Reimplemented from CKernel.
Definition at line 615 of file CombinedKernel.cpp.
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protectedinherited |
set subkernel weights
weights | new subkernel weights |
Reimplemented from CKernel.
Definition at line 584 of file CombinedKernel.cpp.
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virtualinherited |
A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
Reimplemented in CGaussianKernel.
Definition at line 225 of file SGObject.cpp.
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virtualinherited |
Computes sum of kernel values from a specified block. This method is useful while computing statistical estimation of mean/variance over kernel values but the kernel matrix is too huge to be fit inside memory.
block_begin_row | the row index at which the block starts |
block_begin_col | the col index at which the block starts |
block_size_row | the number of rows in the block |
block_size_col | the number of cols in the block |
For example, block_begin_row 0, block_begin_col 4 and block_size_row 5, block_size_col 6 represents the block that starts at index (0,4) in the kernel matrix and goes upto (0+5-1,4+6-1) i.e. (4,9) both inclusive
no_diag | if true (default is false), the diagonal elements are excluded from the sum, provided that block_size_row and block_size_col are same (i.e. the block is square). Otherwise, these are always added |
\[ \sum_{i}\sum_{j}k(i+\text{block-begin-row}, j+\text{block-begin-col}) \]
where \(i\in[0,\text{block-size-row}-1]\) and \(j\in[0,\text{block-size-col}-1]\)Reimplemented in CCustomKernel.
Definition at line 587 of file Kernel.cpp.
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virtualinherited |
Computes sum from a symmetric part of the kernel matrix that always is supposed to contain the main upper diagonal. This method is useful while computing statistical estimation of mean/variance over kernel values but the kernel matrix is too huge to be fit inside memory.
block_begin | the row and col index at which the block starts |
block_size | the number of rows and cols in the block |
For example, block_begin 4 and block_size 5 represents the block that starts at index (4,4) in the kernel matrix and goes upto (4+5-1,4+5-1) i.e. (8,8) both inclusive
no_diag | if true (default), the diagonal elements are excluded from the sum |
\[ \sum_{i}\sum_{j}k(i+\text{block-begin}, j+\text{block-begin}) \]
where \(i,j\in[0,\text{block-size}-1]\)Reimplemented in CCustomKernel.
Definition at line 536 of file Kernel.cpp.
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inherited |
unset generic type
this has to be called in classes specializing a template class
Definition at line 336 of file SGObject.cpp.
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protectedinherited |
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virtualinherited |
Updates the hash of current parameter combination
Definition at line 281 of file SGObject.cpp.
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protected |
if subkernel weights are appended
Definition at line 466 of file CombinedKernel.h.
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protectedinherited |
cache_size in MB
Definition at line 867 of file kernel/Kernel.h.
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protectedinherited |
combined kernel weight
Definition at line 889 of file kernel/Kernel.h.
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protected |
enable to find weight for subkernels during model selection
Definition at line 474 of file CombinedKernel.h.
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protected |
whether kernel is ready to be used
Definition at line 468 of file CombinedKernel.h.
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inherited |
io
Definition at line 558 of file SGObject.h.
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protected |
list of kernels
Definition at line 456 of file CombinedKernel.h.
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protectedinherited |
this *COULD* store the whole kernel matrix usually not applicable / necessary to compute the whole matrix
Definition at line 873 of file kernel/Kernel.h.
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protectedinherited |
feature vectors to occur on left hand side
Definition at line 876 of file kernel/Kernel.h.
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protectedinherited |
lhs
Definition at line 881 of file kernel/Kernel.h.
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inherited |
parameters wrt which we can compute gradients
Definition at line 573 of file SGObject.h.
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inherited |
Hash of parameter values
Definition at line 576 of file SGObject.h.
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inherited |
model selection parameters
Definition at line 570 of file SGObject.h.
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inherited |
parameters
Definition at line 567 of file SGObject.h.
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protectedinherited |
normalize the kernel(i,j) function based on this normalization function
Definition at line 903 of file kernel/Kernel.h.
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protectedinherited |
number of feature vectors on left hand side
Definition at line 884 of file kernel/Kernel.h.
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protectedinherited |
number of feature vectors on right hand side
Definition at line 886 of file kernel/Kernel.h.
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protectedinherited |
optimization type (currently FASTBUTMEMHUNGRY and SLOWBUTMEMEFFICIENT)
Definition at line 896 of file kernel/Kernel.h.
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protectedinherited |
if optimization is initialized
Definition at line 892 of file kernel/Kernel.h.
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inherited |
parallel
Definition at line 561 of file SGObject.h.
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protectedinherited |
kernel properties
Definition at line 899 of file kernel/Kernel.h.
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protectedinherited |
feature vectors to occur on right hand side
Definition at line 878 of file kernel/Kernel.h.
weight for subkernels (in log domain)
Definition at line 471 of file CombinedKernel.h.
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protected |
subkernel weights buffers
Definition at line 464 of file CombinedKernel.h.
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protected |
support vector count
Definition at line 458 of file CombinedKernel.h.
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protected |
support vector index
Definition at line 460 of file CombinedKernel.h.
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protected |
support vector weights
Definition at line 462 of file CombinedKernel.h.
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inherited |
version
Definition at line 564 of file SGObject.h.
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protected |
update the weight for subkernels
Definition at line 476 of file CombinedKernel.h.