SHOGUN
6.1.3
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MultiquadricKernel.
\[ K(x,x') = \sqrt{\| x - x' \|^2 +c^2} \]
Definition at line 30 of file MultiquadricKernel.h.
Public Types | |
typedef rxcpp::subjects::subject< ObservedValue > | SGSubject |
typedef rxcpp::observable< ObservedValue, rxcpp::dynamic_observable< ObservedValue > > | SGObservable |
typedef rxcpp::subscriber< ObservedValue, rxcpp::observer< ObservedValue, void, void, void, void > > | SGSubscriber |
Public Member Functions | |
CMultiquadricKernel () | |
CMultiquadricKernel (int32_t cache, float64_t coef, CDistance *dist) | |
CMultiquadricKernel (CFeatures *l, CFeatures *r, float64_t coef, CDistance *dist) | |
virtual bool | init (CFeatures *l, CFeatures *r) |
virtual EKernelType | get_kernel_type () |
virtual EFeatureType | get_feature_type () |
virtual EFeatureClass | get_feature_class () |
virtual const char * | get_name () const |
float64_t | get_coef () |
void | set_coef (float64_t value) |
virtual | ~CMultiquadricKernel () |
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) |
void | get_kernel_row (int32_t docnum, int32_t *active2dnum, float64_t *buffer, bool full_line=false) |
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 () |
virtual void | cleanup () |
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 () |
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 | cache_reset () |
int32_t | get_max_elems_cache () |
int32_t | get_activenum_cache () |
void | cache_kernel_row (int32_t x) |
void | cache_multiple_kernel_rows (int32_t *key, int32_t varnum) |
void | kernel_cache_reset_lru () |
void | kernel_cache_shrink (int32_t totdoc, int32_t num_shrink, int32_t *after) |
void | resize_kernel_cache (KERNELCACHE_IDX size, bool regression_hack=false) |
void | set_time (int32_t t) |
int32_t | kernel_cache_touch (int32_t cacheidx) |
int32_t | kernel_cache_check (int32_t cacheidx) |
int32_t | kernel_cache_space_available () |
void | kernel_cache_init (int32_t size, bool regression_hack=false) |
void | kernel_cache_cleanup () |
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_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 SGMatrix< float64_t > | get_parameter_gradient (const TParameter *param, index_t index=-1) |
virtual SGVector< float64_t > | get_parameter_gradient_diagonal (const TParameter *param, index_t index=-1) |
int32_t | ref () |
int32_t | ref_count () |
int32_t | unref () |
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 |
SGObservable * | get_parameters_observable () |
void | subscribe_to_parameters (ParameterObserverInterface *obs) |
void | list_observable_parameters () |
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 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 float64_t | compute (int32_t idx_a, int32_t idx_b) |
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) |
void | observe (const ObservedValue value) |
void | register_observable_param (const std::string &name, const SG_OBS_VALUE_TYPE type, const std::string &description) |
Static Protected Member Functions | |
template<class T > | |
static void * | get_kernel_matrix_helper (void *p) |
Protected Attributes | |
CDistance * | m_distance |
distance to be used More... | |
float64_t | m_coef |
theta parameter of kernel - coefficient More... | |
int32_t | cache_size |
cache_size in MB More... | |
KERNEL_CACHE | kernel_cache |
kernel cache 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 |
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Definition at line 130 of file SGObject.h.
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Definition at line 127 of file SGObject.h.
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Definition at line 133 of file SGObject.h.
default constructor
Definition at line 16 of file MultiquadricKernel.cpp.
CMultiquadricKernel | ( | int32_t | cache, |
float64_t | coef, | ||
CDistance * | dist | ||
) |
constructor
cache | size of cache |
coef | kernel parameter coef |
dist | distance to be used |
Definition at line 21 of file MultiquadricKernel.cpp.
CMultiquadricKernel | ( | CFeatures * | l, |
CFeatures * | r, | ||
float64_t | coef, | ||
CDistance * | dist | ||
) |
constructor
l | features left-side |
r | features right-side |
coef | kernel parameter coef |
dist | distance to be used |
Definition at line 29 of file MultiquadricKernel.cpp.
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virtual |
Definition at line 38 of file MultiquadricKernel.cpp.
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virtualinherited |
add vector*factor to 'virtual' normal vector
vector_idx | index |
weight | weight |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommUlongStringKernel, CCommWordStringKernel, CLinearKernel, CLinearStringKernel, and CWeightedCommWordStringKernel.
Definition at line 830 of file Kernel.cpp.
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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 635 of file SGObject.cpp.
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cache reset
Definition at line 602 of file kernel/Kernel.h.
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clean up your kernel
base method only removes lhs and rhs overload to add further cleanup but make sure CKernel::cleanup() is called
Reimplemented in CWeightedDegreePositionStringKernel, CCustomKernel, CWeightedDegreeStringKernel, COligoStringKernel, CSubsequenceStringKernel, CPyramidChi2, CShiftInvariantKernel, CCommWordStringKernel, CSpectrumMismatchRBFKernel, CGaussianKernel, CWeightedCommWordStringKernel, CSalzbergWordStringKernel, CCommUlongStringKernel, CBesselKernel, CSNPStringKernel, CPolyKernel, CPolyMatchStringKernel, CPolyMatchWordStringKernel, CCombinedKernel, CSimpleLocalityImprovedStringKernel, CWaveletKernel, CExponentialKernel, CGaussianMatchStringKernel, CSpectrumRBFKernel, CFixedDegreeStringKernel, CSigmoidKernel, CSplineKernel, CHistogramWordStringKernel, CProductKernel, CLocalAlignmentStringKernel, CSparseSpatialSampleStringKernel, CLinearKernel, and CLinearStringKernel.
Definition at line 172 of file Kernel.cpp.
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for optimizable kernels, i.e. kernels where the weight vector can be computed explicitly (if it fits into memory)
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommUlongStringKernel, CCommWordStringKernel, CLinearKernel, and CLinearStringKernel.
Definition at line 835 of file Kernel.cpp.
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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 734 of file SGObject.cpp.
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Definition at line 759 of file SGObject.cpp.
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compute kernel for specific feature vectors corresponding to [idx_a] of left-side and [idx_b] of right-side
idx_a | left-side index |
idx_b | right-side index |
Implements CKernel.
Definition at line 52 of file MultiquadricKernel.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 in CCombinedKernel, CWeightedDegreeStringKernel, and CWeightedDegreePositionStringKernel.
Definition at line 823 of file Kernel.cpp.
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compute by subkernel
vector_idx | index |
subkernel_contrib | subkernel contribution |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, and CWeightedDegreePositionStringKernel.
Definition at line 845 of file Kernel.cpp.
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compute optimized
vector_idx | index to compute |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommWordStringKernel, CCommUlongStringKernel, CLinearKernel, CLinearStringKernel, and CWeightedCommWordStringKernel.
Definition at line 817 of file Kernel.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 919 of file kernel/Kernel.h.
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A deep copy. All the instance variables will also be copied.
Definition at line 232 of file SGObject.cpp.
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delete optimization
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommWordStringKernel, CCommUlongStringKernel, CLinearKernel, and CLinearStringKernel.
Definition at line 811 of file Kernel.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 656 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 381 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 404 of file SGObject.h.
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return the size of the kernel cache
Definition at line 598 of file kernel/Kernel.h.
float64_t get_coef | ( | ) |
getter for coef parameter
Definition at line 81 of file MultiquadricKernel.h.
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get combined kernel weight
Definition at line 802 of file kernel/Kernel.h.
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virtual |
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check if optimization is initialized
Definition at line 753 of file kernel/Kernel.h.
get column j
Definition at line 262 of file kernel/Kernel.h.
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preallocated | vector with space for results |
Definition at line 230 of file kernel/Kernel.h.
get kernel matrix
Definition at line 219 of file kernel/Kernel.h.
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helper for computing the kernel matrix in a parallel way
p | thread parameters |
Definition at line 1266 of file Kernel.cpp.
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get kernel row
docnum | docnum |
active2dnum | active2dnum |
buffer | buffer |
full_line | full line |
Definition at line 237 of file Kernel.cpp.
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get left-hand side of features used in kernel
Definition at line 504 of file kernel/Kernel.h.
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test whether features on lhs and rhs are the same
Definition at line 543 of file kernel/Kernel.h.
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get maximum elements in cache
Definition at line 608 of file kernel/Kernel.h.
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Definition at line 536 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 560 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 573 of file SGObject.cpp.
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obtain the current kernel normalizer
Definition at line 161 of file Kernel.cpp.
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get number of subkernels
Reimplemented in CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCombinedKernel, and CProductKernel.
Definition at line 840 of file Kernel.cpp.
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get number of vectors of lhs features
Reimplemented in CCustomKernel.
Definition at line 516 of file kernel/Kernel.h.
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get number of vectors of rhs features
Reimplemented in CCustomKernel.
Definition at line 525 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 in CCombinedKernel, CExponentialARDKernel, CProductKernel, CGaussianARDKernel, CGaussianKernel, CPeriodicKernel, and CGaussianARDSparseKernel.
Definition at line 850 of file kernel/Kernel.h.
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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 864 of file kernel/Kernel.h.
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get right-hand side of features used in kernel
Definition at line 510 of file kernel/Kernel.h.
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get subkernel weights
num_weights | number of weights will be stored here |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, and CWeightedDegreePositionStringKernel.
Definition at line 851 of file Kernel.cpp.
get subkernel weights (swig compatible)
Reimplemented in CCombinedKernel.
Definition at line 857 of file Kernel.cpp.
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Checks if object has a class parameter identified by a name.
name | name of the parameter |
Definition at line 304 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 315 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 326 of file SGObject.h.
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test whether features have been assigned to lhs and rhs
Reimplemented in CCustomKernel, CCombinedKernel, and CProductKernel.
Definition at line 534 of file kernel/Kernel.h.
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check if kernel has given property
p | kernel property |
Definition at line 723 of file kernel/Kernel.h.
initialize kernel with features
l | features left-side |
r | features right-side |
Reimplemented from CKernel.
Definition at line 44 of file MultiquadricKernel.cpp.
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initialize the current kernel normalizer
Definition at line 167 of file Kernel.cpp.
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initialize optimization
count | count |
IDX | index |
weights | weights |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommWordStringKernel, CCommUlongStringKernel, CLinearKernel, and CLinearStringKernel.
Definition at line 804 of file Kernel.cpp.
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initialize optimization
svm | svm model |
Definition at line 887 of file Kernel.cpp.
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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 330 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 206 of file kernel/Kernel.h.
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check if row at given index is cached
cacheidx | index in cache |
Definition at line 689 of file kernel/Kernel.h.
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cleanup kernel cache
Definition at line 543 of file Kernel.cpp.
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initialize kernel cache
size | size to initialize to |
regression_hack | if hack for regression shall be applied |
Definition at line 180 of file Kernel.cpp.
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kernel cache reset lru
Definition at line 530 of file Kernel.cpp.
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kernel cache shrink
totdoc | totdoc |
num_shrink | number of shrink |
after | after |
Definition at line 471 of file Kernel.cpp.
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check if there is room for one more row in kernel cache
Definition at line 698 of file kernel/Kernel.h.
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update lru time of item at given index to avoid removal from cache
cacheidx | index in cache |
Definition at line 674 of file kernel/Kernel.h.
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list kernel
Definition at line 684 of file Kernel.cpp.
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Print to stdout a list of observable parameters
Definition at line 878 of file SGObject.cpp.
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load the kernel matrix
loader | File object via which to load data |
Definition at line 622 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 403 of file SGObject.cpp.
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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 905 of file Kernel.cpp.
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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 455 of file SGObject.cpp.
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Observe a parameter value and emit them to observer.
value | Observed parameter's value |
Definition at line 828 of file SGObject.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 873 of file Kernel.cpp.
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Definition at line 296 of file SGObject.cpp.
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prints all parameter registered for model selection and their type
Definition at line 512 of file SGObject.cpp.
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prints registered parameters out
prefix | prefix for members |
Definition at line 342 of file SGObject.cpp.
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Register which params this object can emit.
name | the param name |
type | the param type |
description | a user oriented description |
Definition at line 871 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 472 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 485 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 928 of file Kernel.cpp.
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virtualinherited |
remove lhs from kernel
Reimplemented in CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCombinedKernel, CCommUlongStringKernel, and CProductKernel.
Definition at line 655 of file Kernel.cpp.
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virtualinherited |
remove lhs and rhs from kernel
Reimplemented in CCombinedKernel, and CProductKernel.
Definition at line 636 of file Kernel.cpp.
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virtualinherited |
takes all necessary steps if the rhs is removed from kernel
remove rhs from kernel
Reimplemented in CCombinedKernel, CCommUlongStringKernel, and CProductKernel.
Definition at line 669 of file Kernel.cpp.
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inherited |
resize kernel cache
size | new size |
regression_hack | hack for regression |
Definition at line 84 of file Kernel.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 1212 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 1153 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 1099 of file Kernel.cpp.
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inherited |
save kernel matrix
writer | File object via which to save data |
Definition at line 628 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 348 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 920 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 912 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 342 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 368 of file SGObject.h.
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inherited |
set the size of the kernel cache
size | of kernel cache |
Definition at line 586 of file kernel/Kernel.h.
void set_coef | ( | float64_t | value | ) |
setter for coef parameter
value | kernel parameter coefficient |
Definition at line 86 of file MultiquadricKernel.h.
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inherited |
set combined kernel weight
nw | new combined kernel weight |
Definition at line 808 of file kernel/Kernel.h.
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inherited |
Definition at line 73 of file SGObject.cpp.
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inherited |
Definition at line 78 of file SGObject.cpp.
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inherited |
Definition at line 83 of file SGObject.cpp.
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inherited |
Definition at line 88 of file SGObject.cpp.
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inherited |
Definition at line 93 of file SGObject.cpp.
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inherited |
Definition at line 98 of file SGObject.cpp.
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inherited |
Definition at line 103 of file SGObject.cpp.
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inherited |
Definition at line 108 of file SGObject.cpp.
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inherited |
Definition at line 113 of file SGObject.cpp.
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inherited |
Definition at line 118 of file SGObject.cpp.
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inherited |
Definition at line 123 of file SGObject.cpp.
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inherited |
Definition at line 128 of file SGObject.cpp.
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inherited |
Definition at line 133 of file SGObject.cpp.
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inherited |
Definition at line 138 of file SGObject.cpp.
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inherited |
Definition at line 143 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 275 of file SGObject.cpp.
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inherited |
set the version object
version | version object to use |
Definition at line 317 of file SGObject.cpp.
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protectedinherited |
set is initialized
p_init | if optimization shall be set to initialized |
Definition at line 899 of file kernel/Kernel.h.
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virtualinherited |
set the current kernel normalizer
Reimplemented in CWeightedDegreeStringKernel.
Definition at line 149 of file Kernel.cpp.
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virtualinherited |
set optimization type
t | optimization type to set |
Reimplemented in CCombinedKernel.
Definition at line 747 of file kernel/Kernel.h.
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protectedinherited |
set subkernel weights
weights | new subkernel weights |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, and CWeightedDegreePositionStringKernel.
Definition at line 864 of file Kernel.cpp.
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inherited |
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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 226 of file SGObject.cpp.
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inherited |
Subscribe a parameter observer to watch over params
Definition at line 811 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 1054 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 1003 of file Kernel.cpp.
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inherited |
decrement reference counter and deallocate object if refcount is zero before or after decrementing it
Definition at line 200 of file SGObject.cpp.
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inherited |
unset generic type
this has to be called in classes specializing a template class
Definition at line 337 of file SGObject.cpp.
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protectedinherited |
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virtualinherited |
Updates the hash of current parameter combination
Definition at line 282 of file SGObject.cpp.
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protectedinherited |
cache_size in MB
Definition at line 1047 of file kernel/Kernel.h.
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protectedinherited |
combined kernel weight
Definition at line 1072 of file kernel/Kernel.h.
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inherited |
io
Definition at line 600 of file SGObject.h.
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protectedinherited |
kernel cache
Definition at line 1051 of file kernel/Kernel.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 1056 of file kernel/Kernel.h.
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protectedinherited |
feature vectors to occur on left hand side
Definition at line 1059 of file kernel/Kernel.h.
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protectedinherited |
lhs
Definition at line 1064 of file kernel/Kernel.h.
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protected |
theta parameter of kernel - coefficient
Definition at line 109 of file MultiquadricKernel.h.
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protected |
distance to be used
Definition at line 106 of file MultiquadricKernel.h.
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inherited |
parameters wrt which we can compute gradients
Definition at line 615 of file SGObject.h.
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inherited |
Hash of parameter values
Definition at line 618 of file SGObject.h.
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inherited |
model selection parameters
Definition at line 612 of file SGObject.h.
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inherited |
parameters
Definition at line 609 of file SGObject.h.
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protectedinherited |
normalize the kernel(i,j) function based on this normalization function
Definition at line 1086 of file kernel/Kernel.h.
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protectedinherited |
number of feature vectors on left hand side
Definition at line 1067 of file kernel/Kernel.h.
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protectedinherited |
number of feature vectors on right hand side
Definition at line 1069 of file kernel/Kernel.h.
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protectedinherited |
optimization type (currently FASTBUTMEMHUNGRY and SLOWBUTMEMEFFICIENT)
Definition at line 1079 of file kernel/Kernel.h.
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protectedinherited |
if optimization is initialized
Definition at line 1075 of file kernel/Kernel.h.
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inherited |
parallel
Definition at line 603 of file SGObject.h.
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protectedinherited |
kernel properties
Definition at line 1082 of file kernel/Kernel.h.
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protectedinherited |
feature vectors to occur on right hand side
Definition at line 1061 of file kernel/Kernel.h.
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inherited |
version
Definition at line 606 of file SGObject.h.