SHOGUN
6.0.0
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Template class SparseKernel, is the base class of kernels working on sparse features.
See e.g. the CSparseGaussianKernel for an example.
Definition at line 26 of file SparseKernel.h.
Public Member Functions | |
CSparseKernel (int32_t cachesize) | |
CSparseKernel (CFeatures *l, CFeatures *r) | |
virtual bool | init (CFeatures *l, CFeatures *r) |
virtual EFeatureClass | get_feature_class () |
virtual EFeatureType | get_feature_type () |
virtual const char * | get_name () const |
virtual EKernelType | get_kernel_type ()=0 |
template<> | |
EFeatureType | get_feature_type () |
template<> | |
EFeatureType | get_feature_type () |
template<> | |
EFeatureType | get_feature_type () |
template<> | |
EFeatureType | get_feature_type () |
template<> | |
EFeatureType | get_feature_type () |
template<> | |
EFeatureType | get_feature_type () |
template<> | |
EFeatureType | get_feature_type () |
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 () |
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 | 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) |
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 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 | |
void | set_property (EKernelProperty p) |
void | unset_property (EKernelProperty p) |
void | set_is_initialized (bool p_init) |
virtual float64_t | compute (int32_t x, int32_t y)=0 |
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 | |
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 |
CSparseKernel | ( | int32_t | cachesize | ) |
CSparseKernel | ( | CFeatures * | l, |
CFeatures * | r | ||
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constructor
l | features for left-hand side |
r | features for right-hand side |
Definition at line 40 of file SparseKernel.h.
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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 365 of file Kernel.cpp.
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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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virtualinherited |
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 156 of file Kernel.cpp.
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virtualinherited |
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 370 of file Kernel.cpp.
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virtualinherited |
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.
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protectedpure virtualinherited |
compute kernel function for features a and b idx_{a,b} denote the index of the feature vectors in the corresponding feature object
abstract base method
x | index a |
y | index b |
Implemented in CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCustomKernel, CCombinedKernel, CCommWordStringKernel, CProductKernel, CSpectrumMismatchRBFKernel, CCommUlongStringKernel, CBesselKernel, CExponentialARDKernel, CGaussianKernel, CSNPStringKernel, CPeriodicKernel, CDotKernel, CSubsequenceStringKernel, CSpectrumRBFKernel, CSphericalKernel, CCircularKernel, CPyramidChi2, CANOVAKernel, CDistanceKernel, CPolyMatchStringKernel, CSimpleLocalityImprovedStringKernel, CSparseSpatialSampleStringKernel, CLinearStringKernel, CWeightedDegreeRBFKernel, CTStudentKernel, CChi2Kernel, CInverseMultiQuadricKernel, CSalzbergWordStringKernel, CTensorProductPairKernel, CGaussianShiftKernel, CHistogramIntersectionKernel, CShiftInvariantKernel, CAUCKernel, CExponentialKernel, CRationalQuadraticKernel, CPolyKernel, CGaussianMatchStringKernel, CRegulatoryModulesStringKernel, CDiagKernel, CMultiquadricKernel, CPolyMatchWordStringKernel, CConstKernel, CDistantSegmentsKernel, CFixedDegreeStringKernel, CCauchyKernel, CWaveletKernel, CLogKernel, CPowerKernel, CWaveKernel, CLocalityImprovedStringKernel, CMatchWordStringKernel, COligoStringKernel, CGaussianShortRealKernel, CSigmoidKernel, CLocalAlignmentStringKernel, CHistogramWordStringKernel, CJensenShannonKernel, CSplineKernel, and CGaussianCompactKernel.
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virtualinherited |
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 358 of file Kernel.cpp.
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virtualinherited |
compute by subkernel
vector_idx | index |
subkernel_contrib | subkernel contribution |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, and CWeightedDegreePositionStringKernel.
Definition at line 380 of file Kernel.cpp.
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virtualinherited |
compute optimized
vector_idx | index to compute |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommWordStringKernel, CCommUlongStringKernel, CLinearKernel, CLinearStringKernel, and CWeightedCommWordStringKernel.
Definition at line 352 of file Kernel.cpp.
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protectedinherited |
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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virtualinherited |
A deep copy. All the instance variables will also be copied.
Definition at line 231 of file SGObject.cpp.
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virtualinherited |
delete optimization
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommWordStringKernel, CCommUlongStringKernel, CLinearKernel, and CLinearStringKernel.
Definition at line 346 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 651 of file SGObject.cpp.
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inherited |
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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inherited |
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.
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inherited |
return the size of the kernel cache
Definition at line 594 of file kernel/Kernel.h.
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inherited |
get combined kernel weight
Definition at line 685 of file kernel/Kernel.h.
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virtual |
return feature class the kernel can deal with
Implements CKernel.
Definition at line 72 of file SparseKernel.h.
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virtual |
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 98 of file SparseKernel.h.
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 100 of file SparseKernel.h.
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 102 of file SparseKernel.h.
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 104 of file SparseKernel.h.
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 106 of file SparseKernel.h.
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 108 of file SparseKernel.h.
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virtual |
return feature type the kernel can deal with
abstract base method
Implements CKernel.
Definition at line 110 of file SparseKernel.h.
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inherited |
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inherited |
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inherited |
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inherited |
check if optimization is initialized
Definition at line 636 of file kernel/Kernel.h.
get column j
Definition at line 260 of file kernel/Kernel.h.
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inherited |
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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inherited |
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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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pure virtual |
return what type of kernel we are, e.g. Linear,Polynomial, Gaussian,...
abstract base method
Implements CKernel.
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inherited |
get left-hand side of features used in kernel
Definition at line 502 of file kernel/Kernel.h.
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inherited |
test whether features on lhs and rhs are the same
Definition at line 541 of file kernel/Kernel.h.
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inherited |
Definition at line 531 of file SGObject.cpp.
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inherited |
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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inherited |
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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virtual |
Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.
Implements CSGObject.
Definition at line 85 of file SparseKernel.h.
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virtualinherited |
obtain the current kernel normalizer
Definition at line 145 of file Kernel.cpp.
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virtualinherited |
get number of subkernels
Reimplemented in CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCombinedKernel, and CProductKernel.
Definition at line 375 of file Kernel.cpp.
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virtualinherited |
get number of vectors of lhs features
Reimplemented in CCustomKernel.
Definition at line 514 of file kernel/Kernel.h.
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virtualinherited |
get number of vectors of rhs features
Reimplemented in CCustomKernel.
Definition at line 523 of file kernel/Kernel.h.
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inherited |
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virtualinherited |
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 733 of file kernel/Kernel.h.
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virtualinherited |
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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inherited |
get right-hand side of features used in kernel
Definition at line 508 of file kernel/Kernel.h.
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virtualinherited |
get subkernel weights
num_weights | number of weights will be stored here |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, and CWeightedDegreePositionStringKernel.
Definition at line 386 of file Kernel.cpp.
get subkernel weights (swig compatible)
Reimplemented in CCombinedKernel.
Definition at line 392 of file Kernel.cpp.
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inherited |
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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inherited |
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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inherited |
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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virtualinherited |
test whether features have been assigned to lhs and rhs
Reimplemented in CCustomKernel, CCombinedKernel, and CProductKernel.
Definition at line 532 of file kernel/Kernel.h.
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inherited |
check if kernel has given property
p | kernel property |
Definition at line 606 of file kernel/Kernel.h.
initialize kernel
l | features of left-hand side |
r | features of right-hand side |
Reimplemented from CKernel.
Definition at line 51 of file SparseKernel.h.
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virtualinherited |
initialize the current kernel normalizer
Definition at line 151 of file Kernel.cpp.
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virtualinherited |
initialize optimization
count | count |
IDX | index |
weights | weights |
Reimplemented in CCombinedKernel, CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCommWordStringKernel, CCommUlongStringKernel, CLinearKernel, and CLinearStringKernel.
Definition at line 339 of file Kernel.cpp.
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inherited |
initialize optimization
svm | svm model |
Definition at line 422 of file Kernel.cpp.
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virtualinherited |
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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inherited |
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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inherited |
list kernel
Definition at line 219 of file Kernel.cpp.
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inherited |
load the kernel matrix
loader | File object via which to load data |
Definition at line 163 of file Kernel.cpp.
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virtualinherited |
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.
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.
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inherited |
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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virtualinherited |
remove lhs from kernel
Reimplemented in CWeightedDegreeStringKernel, CWeightedDegreePositionStringKernel, CCombinedKernel, CCommUlongStringKernel, and CProductKernel.
Definition at line 194 of file Kernel.cpp.
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virtualinherited |
remove lhs and rhs from kernel
Reimplemented in CCombinedKernel, and CProductKernel.
Definition at line 177 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 206 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 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
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inherited |
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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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virtualinherited |
set optimization type
t | optimization type to set |
Reimplemented in CCombinedKernel.
Definition at line 630 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 399 of file Kernel.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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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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io
Definition at line 558 of file SGObject.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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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.
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inherited |
version
Definition at line 564 of file SGObject.h.