|
SHOGUN
4.2.0
|
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules Pages
|
SHOGUN
4.2.0
|
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 () |
| 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 () |
| 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 | 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) |
| 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 void * | compute_optimized_kernel_helper (void *p) |
| static void * | compute_kernel_helper (void *p) |
| 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 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) |
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 |
| 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 |
| CCombinedKernel | ( | int32_t | size = 10, |
| bool | append_subkernel_weights = false |
||
| ) |
constructor
| size | cache size |
| append_subkernel_weights | if subkernel weights shall be appended |
Definition at line 44 of file CombinedKernel.cpp.
|
virtual |
Definition at line 55 of file CombinedKernel.cpp.
|
virtual |
add to normal vector
| idx | where to add |
| weight | what to add |
Reimplemented from CKernel.
Definition at line 581 of file CombinedKernel.cpp.
|
protected |
adjust the variables num_lhs, num_rhs and initialized based on the kernel to be appended/inserted
| k | kernel |
Definition at line 415 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.
|
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.
|
inherited |
|
inherited |
|
virtual |
|
virtual |
|
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.
Definition at line 747 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 871 of file CombinedKernel.cpp.
|
protectedvirtual |
compute kernel function
| x | x |
| y | y |
Implements CKernel.
Definition at line 256 of file CombinedKernel.cpp.
|
virtual |
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 343 of file CombinedKernel.cpp.
|
virtual |
compute by subkernel
| idx | index |
| subkernel_contrib | subkernel contribution |
Reimplemented from CKernel.
Definition at line 603 of file CombinedKernel.cpp.
|
static |
helper for compute kernel
| p | thread parameter |
Definition at line 387 of file CombinedKernel.cpp.
|
virtual |
compute optimized
| idx | index to compute |
Reimplemented from CKernel.
Definition at line 538 of file CombinedKernel.cpp.
|
static |
helper for compute optimized kernel
| p | thread parameter |
Definition at line 374 of file CombinedKernel.cpp.
|
protectedinherited |
|
virtualinherited |
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 181 of file CombinedKernel.h.
|
virtual |
delete optimization
Reimplemented from CKernel.
Definition at line 320 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 409 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.
|
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 367 of file SGObject.h.
|
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 388 of file SGObject.h.
|
inherited |
| bool get_append_subkernel_weights | ( | ) |
check if subkernel weights are appended
Definition at line 198 of file CombinedKernel.h.
| CDynamicObjectArray* get_array | ( | ) |
|
inherited |
|
inherited |
|
virtual |
return feature class the kernel can deal with
Implements CKernel.
Definition at line 97 of file CombinedKernel.h.
|
virtual |
return feature type the kernel can deal with
Implements CKernel.
Definition at line 88 of file CombinedKernel.h.
| CKernel* get_first_kernel | ( | ) |
|
inherited |
|
inherited |
|
inherited |
|
inherited |
| CKernel* get_kernel | ( | int32_t | idx | ) |
get kernel
| idx | index of kernel |
Definition at line 125 of file CombinedKernel.h.
|
inherited |
|
staticprotectedinherited |
helper for computing the kernel matrix in a parallel way
| p | thread parameters |
Definition at line 1293 of file Kernel.cpp.
|
inherited |
get kernel row
| docnum | docnum |
| active2dnum | active2dnum |
| buffer | buffer |
| full_line | full line |
Definition at line 238 of file Kernel.cpp.
|
virtual |
return what type of kernel we are
Implements CKernel.
Definition at line 79 of file CombinedKernel.h.
| CKernel* get_last_kernel | ( | ) |
|
inherited |
|
inherited |
|
inherited |
|
inherited |
Definition at line 531 of file SGObject.cpp.
|
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.
|
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.
|
virtual |
return the kernel's name
Implements CSGObject.
Definition at line 106 of file CombinedKernel.h.
|
virtualinherited |
obtain the current kernel normalizer
Definition at line 162 of file Kernel.cpp.
| int32_t get_num_kernels | ( | ) |
get number of contained kernels
Definition at line 229 of file CombinedKernel.h.
|
virtual |
get number of subkernels
Reimplemented from CKernel.
Definition at line 207 of file CombinedKernel.h.
|
virtualinherited |
get number of vectors of lhs features
Reimplemented in CCustomKernel.
|
virtualinherited |
get number of vectors of rhs features
Reimplemented in CCustomKernel.
|
inherited |
|
virtual |
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 784 of file CombinedKernel.cpp.
|
virtualinherited |
|
inherited |
|
virtual |
get subkernel weights
| num_weights | where number of weights is stored |
Reimplemented from CKernel.
Definition at line 638 of file CombinedKernel.cpp.
get subkernel weights (swig compatible)
Reimplemented from CKernel.
Definition at line 682 of file CombinedKernel.cpp.
|
inherited |
Checks if object has a class parameter identified by a name.
| name | name of the parameter |
Definition at line 289 of file SGObject.h.
|
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 301 of file SGObject.h.
|
inherited |
Checks if a type exists for a class parameter identified by a name.
| name | name of the parameter |
Definition at line 312 of file SGObject.h.
|
virtual |
test whether features have been assigned to lhs and rhs
Reimplemented from CKernel.
Definition at line 238 of file CombinedKernel.h.
|
inherited |
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 66 of file CombinedKernel.cpp.
|
virtualinherited |
initialize the current kernel normalizer
Definition at line 168 of file Kernel.cpp.
|
virtual |
initialize optimization
| count | count |
| IDX | index |
| weights | weights |
Reimplemented from CKernel.
Definition at line 270 of file CombinedKernel.cpp.
|
inherited |
initialize optimization
| svm | svm model |
Definition at line 911 of file Kernel.cpp.
| bool insert_kernel | ( | CKernel * | k, |
| int32_t | idx | ||
| ) |
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.
|
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.
|
inherited |
|
inherited |
|
inherited |
cleanup kernel cache
Definition at line 567 of file Kernel.cpp.
|
inherited |
initialize kernel cache
| size | size to initialize to |
| regression_hack | if hack for regression shall be applied |
Definition at line 181 of file Kernel.cpp.
|
inherited |
kernel cache reset lru
Definition at line 554 of file Kernel.cpp.
|
inherited |
kernel cache shrink
| totdoc | totdoc |
| num_shrink | number of shrink |
| after | after |
Definition at line 495 of file Kernel.cpp.
|
inherited |
|
inherited |
|
inherited |
list kernel
Definition at line 708 of file Kernel.cpp.
| void list_kernels | ( | ) |
list kernels
Definition at line 242 of file CombinedKernel.cpp.
|
inherited |
load the kernel matrix
| loader | File object via which to load data |
Definition at line 646 of file Kernel.cpp.
|
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.
|
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 929 of file Kernel.cpp.
|
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.
|
static |
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 858 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 897 of file Kernel.cpp.
|
virtualinherited |
Definition at line 295 of file SGObject.cpp.
| bool precompute_subkernels | ( | ) |
precompute all sub-kernels
Definition at line 738 of file CombinedKernel.cpp.
|
inherited |
prints all parameter registered for model selection and their type
Definition at line 507 of file SGObject.cpp.
|
virtualinherited |
prints registered parameters out
| prefix | prefix for members |
Definition at line 341 of file SGObject.cpp.
|
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 439 of file SGObject.h.
|
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 452 of file SGObject.h.
|
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 952 of file Kernel.cpp.
|
virtual |
remove lhs from kernel
Reimplemented from CKernel.
Definition at line 172 of file CombinedKernel.cpp.
|
virtual |
remove lhs and rhs from kernel
Reimplemented from CKernel.
Definition at line 206 of file CombinedKernel.cpp.
|
virtual |
remove rhs from kernel
Reimplemented from CKernel.
Definition at line 189 of file CombinedKernel.cpp.
|
inherited |
resize kernel cache
| size | new size |
| regression_hack | hack for regression |
Definition at line 85 of file Kernel.cpp.
|
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 \(j\in[0,\text{block-size-col}-1]\)Definition at line 1239 of file Kernel.cpp.
|
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 \(i,j\in[0,\text{block-size}-1]\)Definition at line 1180 of file Kernel.cpp.
|
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 \(i,j\in[0,\text{block-size}-1]\)Definition at line 1126 of file Kernel.cpp.
|
inherited |
save kernel matrix
| writer | File object via which to save data |
Definition at line 652 of file Kernel.cpp.
|
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.
|
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 944 of file Kernel.cpp.
|
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 936 of file Kernel.cpp.
|
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 328 of file SGObject.h.
|
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 354 of file SGObject.h.
|
inherited |
|
inherited |
|
inherited |
Definition at line 74 of file SGObject.cpp.
|
inherited |
Definition at line 79 of file SGObject.cpp.
|
inherited |
Definition at line 84 of file SGObject.cpp.
|
inherited |
Definition at line 89 of file SGObject.cpp.
|
inherited |
Definition at line 94 of file SGObject.cpp.
|
inherited |
Definition at line 99 of file SGObject.cpp.
|
inherited |
Definition at line 104 of file SGObject.cpp.
|
inherited |
Definition at line 109 of file SGObject.cpp.
|
inherited |
Definition at line 114 of file SGObject.cpp.
|
inherited |
Definition at line 119 of file SGObject.cpp.
|
inherited |
Definition at line 124 of file SGObject.cpp.
|
inherited |
Definition at line 129 of file SGObject.cpp.
|
inherited |
Definition at line 134 of file SGObject.cpp.
|
inherited |
Definition at line 139 of file SGObject.cpp.
|
inherited |
Definition at line 144 of file SGObject.cpp.
|
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.
|
inherited |
set the version object
| version | version object to use |
Definition at line 316 of file SGObject.cpp.
|
protectedinherited |
|
virtualinherited |
set the current kernel normalizer
Reimplemented in CWeightedDegreeStringKernel.
Definition at line 150 of file Kernel.cpp.
|
virtual |
set optimization type
| t | optimization type |
Reimplemented from CKernel.
Definition at line 725 of file CombinedKernel.cpp.
|
protectedinherited |
set subkernel weights
| weights | new subkernel weights |
Reimplemented from CKernel.
Definition at line 694 of file CombinedKernel.cpp.
|
inherited |
|
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.
|
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 \(j\in[0,\text{block-size-col}-1]\)Definition at line 1080 of file Kernel.cpp.
|
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 \(i,j\in[0,\text{block-size}-1]\)Definition at line 1027 of file Kernel.cpp.
|
inherited |
unset generic type
this has to be called in classes specializing a template class
Definition at line 336 of file SGObject.cpp.
|
protectedinherited |
|
virtualinherited |
Updates the hash of current parameter combination
Definition at line 281 of file SGObject.cpp.
|
protected |
if subkernel weights are appended
Definition at line 469 of file CombinedKernel.h.
|
protectedinherited |
|
protected |
whether kernel is ready to be used
Definition at line 471 of file CombinedKernel.h.
|
inherited |
io
Definition at line 537 of file SGObject.h.
|
protected |
list of kernels
Definition at line 459 of file CombinedKernel.h.
|
protectedinherited |
|
protectedinherited |
|
inherited |
parameters wrt which we can compute gradients
Definition at line 552 of file SGObject.h.
|
inherited |
Hash of parameter values
Definition at line 555 of file SGObject.h.
|
inherited |
model selection parameters
Definition at line 549 of file SGObject.h.
|
inherited |
parameters
Definition at line 546 of file SGObject.h.
|
protectedinherited |
|
protectedinherited |
|
protectedinherited |
|
protectedinherited |
|
protectedinherited |
|
inherited |
parallel
Definition at line 540 of file SGObject.h.
|
protectedinherited |
|
protected |
subkernel weights buffers
Definition at line 467 of file CombinedKernel.h.
|
protected |
support vector count
Definition at line 461 of file CombinedKernel.h.
|
protected |
support vector index
Definition at line 463 of file CombinedKernel.h.
|
protected |
support vector weights
Definition at line 465 of file CombinedKernel.h.
|
inherited |
version
Definition at line 543 of file SGObject.h.