SHOGUN
v2.0.0
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The Weighted Degree String kernel.
The WD kernel of order d compares two sequences and of length L by summing all contributions of k-mer matches of lengths , weighted by coefficients . It is defined as
Here, is the string of length k starting at position l of the sequence and is the indicator function which evaluates to 1 when its argument is true and to 0 otherwise.
Definition at line 53 of file WeightedDegreeStringKernel.h.
Static Public Member Functions | |
static void * | compute_batch_helper (void *p) |
Public Attributes | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
ParameterMap * | m_parameter_map |
uint32_t | m_hash |
Protected Member Functions | |
void | create_empty_tries () |
void | add_example_to_tree (int32_t idx, float64_t weight) |
void | add_example_to_single_tree (int32_t idx, float64_t weight, int32_t tree_num) |
void | add_example_to_tree_mismatch (int32_t idx, float64_t weight) |
void | add_example_to_single_tree_mismatch (int32_t idx, float64_t weight, int32_t tree_num) |
float64_t | compute_by_tree (int32_t idx) |
float64_t | compute (int32_t idx_a, int32_t idx_b) |
float64_t | compute_with_mismatch (char *avec, int32_t alen, char *bvec, int32_t blen) |
float64_t | compute_without_mismatch (char *avec, int32_t alen, char *bvec, int32_t blen) |
float64_t | compute_without_mismatch_matrix (char *avec, int32_t alen, char *bvec, int32_t blen) |
float64_t | compute_using_block (char *avec, int32_t alen, char *bvec, int32_t blen) |
virtual void | remove_lhs () |
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 TParameter * | migrate (DynArray< TParameter * > *param_base, const SGParamInfo *target) |
virtual void | one_to_one_migration_prepare (DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL) |
virtual void | load_serializable_pre () throw (ShogunException) |
virtual bool | update_parameter_hash () |
Static Protected Member Functions | |
template<class T > | |
static void * | get_kernel_matrix_helper (void *p) |
Protected Attributes | |
float64_t * | weights |
int32_t | weights_degree |
int32_t | weights_length |
float64_t * | position_weights |
int32_t | position_weights_len |
float64_t * | weights_buffer |
int32_t | mkl_stepsize |
int32_t | degree |
int32_t | length |
int32_t | max_mismatch |
int32_t | seq_length |
bool | initialized |
bool | block_computation |
float64_t * | block_weights |
EWDKernType | type |
int32_t | which_degree |
CTrie< DNATrie > * | tries |
bool | tree_initialized |
CAlphabet * | alphabet |
int32_t | cache_size |
cache_size in MB | |
KERNEL_CACHE | kernel_cache |
kernel cache | |
KERNELCACHE_ELEM * | kernel_matrix |
CFeatures * | lhs |
feature vectors to occur on left hand side | |
CFeatures * | rhs |
feature vectors to occur on right hand side | |
bool | lhs_equals_rhs |
lhs | |
int32_t | num_lhs |
number of feature vectors on left hand side | |
int32_t | num_rhs |
number of feature vectors on right hand side | |
float64_t | combined_kernel_weight |
bool | optimization_initialized |
EOptimizationType | opt_type |
uint64_t | properties |
CKernelNormalizer * | normalizer |
default constructor
Definition at line 48 of file WeightedDegreeStringKernel.cpp.
CWeightedDegreeStringKernel | ( | int32_t | degree, |
EWDKernType | type = E_WD |
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) |
constructor
degree | degree |
type | weighted degree kernel type |
Definition at line 55 of file WeightedDegreeStringKernel.cpp.
CWeightedDegreeStringKernel | ( | SGVector< float64_t > | weights | ) |
constructor
weights | kernel's weights |
Definition at line 68 of file WeightedDegreeStringKernel.cpp.
CWeightedDegreeStringKernel | ( | CStringFeatures< char > * | l, |
CStringFeatures< char > * | r, | ||
int32_t | degree | ||
) |
constructor
l | features of left-hand side |
r | features of right-hand side |
degree | degree |
Definition at line 84 of file WeightedDegreeStringKernel.cpp.
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virtual |
Definition at line 96 of file WeightedDegreeStringKernel.cpp.
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add example to single tree
idx | index |
weight | weight |
tree_num | which tree |
Definition at line 435 of file WeightedDegreeStringKernel.cpp.
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add example to single tree mismatch
idx | index |
weight | weight |
tree_num | which tree |
Definition at line 486 of file WeightedDegreeStringKernel.cpp.
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add example to tree
idx | index |
weight | weight |
Definition at line 389 of file WeightedDegreeStringKernel.cpp.
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add example to tree mismatch
idx | index |
weight | weight |
Definition at line 460 of file WeightedDegreeStringKernel.cpp.
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add to normal
idx | where to add |
weight | what to add |
Reimplemented from CKernel.
Definition at line 212 of file WeightedDegreeStringKernel.h.
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inherited |
Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
Definition at line 1204 of file SGObject.cpp.
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clean up kernel
Reimplemented from CKernel.
Definition at line 182 of file WeightedDegreeStringKernel.cpp.
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clear normal subkernel functionality
Reimplemented from CKernel.
Definition at line 194 of file WeightedDegreeStringKernel.h.
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protectedvirtual |
compute kernel function for features a and b idx_{a,b} denote the index of the feature vectors in the corresponding feature object
idx_a | index a |
idx_b | index b |
Implements CKernel.
Definition at line 363 of file WeightedDegreeStringKernel.cpp.
float64_t * compute_abs_weights | ( | int32_t & | len | ) |
compute abs weights
len | len |
Definition at line 565 of file WeightedDegreeStringKernel.cpp.
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compute batch
num_vec | number of vectors |
vec_idx | vector index |
target | target |
num_suppvec | number of support vectors |
IDX | IDX |
alphas | alphas |
factor | factor |
Reimplemented from CKernel.
Definition at line 862 of file WeightedDegreeStringKernel.cpp.
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helper for compute batch
p | thread parameter |
Definition at line 826 of file WeightedDegreeStringKernel.cpp.
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compute by subkernel
idx | index |
subkernel_contrib | subkernel contribution |
Reimplemented from CKernel.
Definition at line 246 of file WeightedDegreeStringKernel.h.
void compute_by_tree | ( | int32_t | idx, |
float64_t * | LevelContrib | ||
) |
compute by tree
idx | index |
LevelContrib | level contribution |
Definition at line 538 of file WeightedDegreeStringKernel.cpp.
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compute by tree
idx | index |
Definition at line 514 of file WeightedDegreeStringKernel.cpp.
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compute optimized
idx | index to compute |
Reimplemented from CKernel.
Definition at line 161 of file WeightedDegreeStringKernel.h.
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compute using block
avec | vector a |
alen | length of vector a |
bvec | vector b |
blen | length of vector b |
Definition at line 290 of file WeightedDegreeStringKernel.cpp.
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compute with mismatch
avec | vector a |
alen | length of vector a |
bvec | vector b |
blen | length of vector b |
Definition at line 262 of file WeightedDegreeStringKernel.cpp.
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compute without mismatch
avec | vector a |
alen | length of vector a |
bvec | vector b |
blen | length of vector b |
Definition at line 316 of file WeightedDegreeStringKernel.cpp.
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compute without mismatch matrix
avec | vector a |
alen | length of vector a |
bvec | vector b |
blen | length of vector b |
Definition at line 339 of file WeightedDegreeStringKernel.cpp.
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create emtpy tries
Definition at line 127 of file WeightedDegreeStringKernel.cpp.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
Definition at line 131 of file SGObject.h.
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delete optimization
Reimplemented from CKernel.
Definition at line 248 of file WeightedDegreeStringKernel.cpp.
bool delete_position_weights | ( | ) |
delete position weights
Definition at line 519 of file WeightedDegreeStringKernel.h.
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int32_t get_degree | ( | ) | const |
float64_t* get_degree_weights | ( | int32_t & | d, |
int32_t & | len | ||
) |
get degree weights
d | degree weights will be stored here |
len | number of degree weights will be stored here |
Definition at line 388 of file WeightedDegreeStringKernel.h.
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return feature class the kernel can deal with
Implements CKernel.
Definition at line 69 of file StringKernel.h.
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staticprotectedinherited |
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get kernel row
docnum | docnum |
active2dnum | active2dnum |
buffer | buffer |
full_line | full line |
Definition at line 226 of file Kernel.cpp.
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return what type of kernel we are
Implements CStringKernel< char >.
Definition at line 114 of file WeightedDegreeStringKernel.h.
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int32_t get_max_mismatch | ( | ) | const |
get maximum mismatch
Definition at line 537 of file WeightedDegreeStringKernel.h.
int32_t get_mkl_stepsize | ( | ) |
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Definition at line 1108 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 1132 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 1145 of file SGObject.cpp.
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return the kernel's name
Reimplemented from CStringKernel< char >.
Definition at line 120 of file WeightedDegreeStringKernel.h.
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virtualinherited |
obtain the current kernel normalizer
Definition at line 150 of file Kernel.cpp.
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get number of subkernels
Reimplemented from CKernel.
Definition at line 230 of file WeightedDegreeStringKernel.h.
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get number of vectors of lhs features
Reimplemented in CCustomKernel.
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get number of vectors of rhs features
Reimplemented in CCustomKernel.
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return derivative with respect to specified parameter
param | the parameter |
obj | the object that owns the parameter |
index | the index of the element if parameter is a vector |
Reimplemented in CCombinedKernel, CProductKernel, CGaussianKernel, CLinearARDKernel, and CGaussianARDKernel.
Definition at line 952 of file Kernel.cpp.
float64_t* get_position_weights | ( | int32_t & | len | ) |
get position weights
len | number of position weights will be stored here |
Definition at line 423 of file WeightedDegreeStringKernel.h.
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get subkernel weights
num_weights | number of weights will be stored here |
Reimplemented from CKernel.
Definition at line 268 of file WeightedDegreeStringKernel.h.
EWDKernType get_type | ( | ) | const |
get WD kernel weighting type
Definition at line 105 of file WeightedDegreeStringKernel.h.
bool get_use_block_computation | ( | ) |
check if block computation is performed
Definition at line 567 of file WeightedDegreeStringKernel.h.
float64_t* get_weights | ( | int32_t & | num_weights | ) |
get weights
num_weights | number of weights will be stored here |
Definition at line 400 of file WeightedDegreeStringKernel.h.
int32_t get_which_degree | ( | ) |
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test whether features have been assigned to lhs and rhs
Reimplemented in CCustomKernel, CCombinedKernel, and CProductKernel.
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initialize kernel
l | features of left-hand side |
r | features of right-hand side |
Reimplemented from CStringKernel< char >.
Definition at line 140 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights | ( | ) |
initialize block weights
Definition at line 801 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_const | ( | ) |
initialize block weights constant
Definition at line 725 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_cubicpoly | ( | ) |
initialize block weights cubic polynomial
Definition at line 760 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_exp | ( | ) |
initialize block weights exponential
Definition at line 773 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_from_wd | ( | ) |
initialize block weights from weighted degree
Definition at line 684 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_from_wd_external | ( | ) |
initialize block weights from external weighted degree
Definition at line 701 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_linear | ( | ) |
initialize block weights linear
Definition at line 735 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_log | ( | ) |
initialize block weights logarithmic
Definition at line 787 of file WeightedDegreeStringKernel.cpp.
bool init_block_weights_sqpoly | ( | ) |
initialize block weights squared polynomial
Definition at line 746 of file WeightedDegreeStringKernel.cpp.
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initialize the current kernel normalizer
Definition at line 156 of file Kernel.cpp.
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initialize optimization
count | count |
IDX | index |
alphas | alphas |
Reimplemented from CKernel.
Definition at line 131 of file WeightedDegreeStringKernel.h.
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initialize optimization do initialization for tree_num up to upto_tree, use tree_num=-1 to construct all trees
count | count |
IDX | IDX |
alphas | alphas |
tree_num | which tree |
Definition at line 206 of file WeightedDegreeStringKernel.cpp.
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initialize optimization
svm | svm model |
Definition at line 865 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 278 of file SGObject.cpp.
bool is_tree_initialized | ( | ) |
check if tree is initialized
Definition at line 381 of file WeightedDegreeStringKernel.h.
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cleanup kernel cache
Definition at line 552 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 169 of file Kernel.cpp.
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kernel cache reset lru
Definition at line 539 of file Kernel.cpp.
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kernel cache shrink
totdoc | totdoc |
num_shrink | number of shrink |
after | after |
Definition at line 483 of file Kernel.cpp.
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list kernel
Definition at line 691 of file Kernel.cpp.
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load the kernel matrix
loader | File object via which to load data |
Definition at line 631 of file Kernel.cpp.
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maps all parameters of this instance to the provided file version and loads all parameter data from the file into an array, which is sorted (basically calls load_file_parameter(...) for all parameters and puts all results into a sorted array)
file_version | parameter version of the file |
current_version | version from which mapping begins (you want to use VERSION_PARAMETER for this in most cases) |
file | file to load from |
prefix | prefix for members |
Definition at line 679 of file SGObject.cpp.
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loads some specified parameters from a file with a specified version The provided parameter info has a version which is recursively mapped until the file parameter version is reached. Note that there may be possibly multiple parameters in the mapping, therefore, a set of TParameter instances is returned
param_info | information of parameter |
file_version | parameter version of the file, must be <= provided parameter version |
file | file to load from |
prefix | prefix for members |
Definition at line 523 of file SGObject.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 |
param_version | (optional) a parameter version different to (this is mainly for testing, better do not use) |
Reimplemented in CModelSelectionParameters.
Definition at line 354 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, CANOVAKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.
Definition at line 883 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 occurres. |
Definition at line 1028 of file SGObject.cpp.
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Takes a set of TParameter instances (base) with a certain version and a set of target parameter infos and recursively maps the base level wise to the current version using CSGObject::migrate(...). The base is replaced. After this call, the base version containing parameters should be of same version/type as the initial target parameter infos. Note for this to work, the migrate methods and all the internal parameter mappings have to match
param_base | set of TParameter instances that are mapped to the provided target parameter infos |
base_version | version of the parameter base |
target_param_infos | set of SGParamInfo instances that specify the target parameter base |
Definition at line 717 of file SGObject.cpp.
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protectedvirtualinherited |
creates a new TParameter instance, which contains migrated data from the version that is provided. The provided parameter data base is used for migration, this base is a collection of all parameter data of the previous version. Migration is done FROM the data in param_base TO the provided param info Migration is always one version step. Method has to be implemented in subclasses, if no match is found, base method has to be called.
If there is an element in the param_base which equals the target, a copy of the element is returned. This represents the case when nothing has changed and therefore, the migrate method is not overloaded in a subclass
param_base | set of TParameter instances to use for migration |
target | parameter info for the resulting TParameter |
Definition at line 923 of file SGObject.cpp.
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This method prepares everything for a one-to-one parameter migration. One to one here means that only ONE element of the parameter base is needed for the migration (the one with the same name as the target). Data is allocated for the target (in the type as provided in the target SGParamInfo), and a corresponding new TParameter instance is written to replacement. The to_migrate pointer points to the single needed TParameter instance needed for migration. If a name change happened, the old name may be specified by old_name. In addition, the m_delete_data flag of to_migrate is set to true. So if you want to migrate data, the only thing to do after this call is converting the data in the m_parameter fields. If unsure how to use - have a look into an example for this. (base_migration_type_conversion.cpp for example)
param_base | set of TParameter instances to use for migration |
target | parameter info for the resulting TParameter |
replacement | (used as output) here the TParameter instance which is returned by migration is created into |
to_migrate | the only source that is used for migration |
old_name | with this parameter, a name change may be specified |
Definition at line 864 of file SGObject.cpp.
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prints all parameter registered for model selection and their type
Definition at line 1084 of file SGObject.cpp.
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prints registered parameters out
prefix | prefix for members |
Definition at line 290 of file SGObject.cpp.
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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, CRegulatoryModulesStringKernel, CGaussianMatchStringKernel, CGaussianShortRealKernel, CTensorProductPairKernel, CDistanceKernel, and CHistogramIntersectionKernel.
Definition at line 906 of file Kernel.cpp.
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remove lhs from kernel
Reimplemented from CKernel.
Definition at line 116 of file WeightedDegreeStringKernel.cpp.
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remove lhs and rhs from kernel
Reimplemented in CCombinedKernel, and CProductKernel.
Definition at line 645 of file Kernel.cpp.
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takes all necessary steps if the rhs is removed from kernel
remove rhs from kernel
Reimplemented in CCombinedKernel, CProductKernel, and CCommUlongStringKernel.
Definition at line 676 of file Kernel.cpp.
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resize kernel cache
size | new size |
regression_hack | hack for regression |
Definition at line 85 of file Kernel.cpp.
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save kernel matrix
writer | File object via which to save data |
Definition at line 637 of file Kernel.cpp.
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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 |
param_version | (optional) a parameter version different to (this is mainly for testing, better do not use) |
Reimplemented in CModelSelectionParameters.
Definition at line 296 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 898 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 890 of file Kernel.cpp.
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bool set_degree | ( | int32_t | deg | ) |
set degree
deg | new degree |
Definition at line 544 of file WeightedDegreeStringKernel.h.
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set generic type to T
Definition at line 41 of file SGObject.cpp.
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set the parallel object
parallel | parallel object to use |
Definition at line 230 of file SGObject.cpp.
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set the version object
version | version object to use |
Definition at line 265 of file SGObject.cpp.
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bool set_max_mismatch | ( | int32_t | max | ) |
set maximum mismatch
max | new maximum mismatch |
Definition at line 966 of file WeightedDegreeStringKernel.cpp.
bool set_mkl_stepsize | ( | int32_t | step | ) |
set MKL steps ize
step | new step size |
Definition at line 574 of file WeightedDegreeStringKernel.h.
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set the current kernel normalizer
Reimplemented from CKernel.
Definition at line 344 of file WeightedDegreeStringKernel.h.
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bool set_position_weights | ( | float64_t * | pws, |
int32_t | len | ||
) |
set position weights
pws | new position weights |
len | number of position weights |
Definition at line 654 of file WeightedDegreeStringKernel.cpp.
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set subkernel weights
w | weights |
Reimplemented from CKernel.
Definition at line 293 of file WeightedDegreeStringKernel.h.
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bool set_use_block_computation | ( | bool | block | ) |
set if block computation shall be performed
block | if block computation shall be performed |
Definition at line 557 of file WeightedDegreeStringKernel.h.
set wd weights
new_weights | new weights |
Definition at line 440 of file WeightedDegreeStringKernel.h.
bool set_wd_weights_by_type | ( | EWDKernType | type | ) |
set wd weights
type | weighted degree kernel type |
if we know a better weighting later on do a switch
Definition at line 571 of file WeightedDegreeStringKernel.cpp.
set weights
new_weights | new weights |
Definition at line 624 of file WeightedDegreeStringKernel.cpp.
bool set_which_degree | ( | int32_t | which | ) |
set which degree
which | which degree |
Definition at line 593 of file WeightedDegreeStringKernel.h.
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A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
Reimplemented in CGaussianKernel.
Definition at line 122 of file SGObject.h.
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unset generic type
this has to be called in classes specializing a template class
Definition at line 285 of file SGObject.cpp.
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protectedinherited |
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protectedvirtualinherited |
Updates the hash of current parameter combination.
Definition at line 237 of file SGObject.cpp.
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alphabet of features
Definition at line 759 of file WeightedDegreeStringKernel.h.
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if block computation is used
Definition at line 743 of file WeightedDegreeStringKernel.h.
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(internal) block weights
Definition at line 746 of file WeightedDegreeStringKernel.h.
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degree
Definition at line 730 of file WeightedDegreeStringKernel.h.
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if kernel is initialized
Definition at line 740 of file WeightedDegreeStringKernel.h.
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io
Definition at line 462 of file SGObject.h.
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protected |
length
Definition at line 732 of file WeightedDegreeStringKernel.h.
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protectedinherited |
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Hash of parameter values
Definition at line 480 of file SGObject.h.
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model selection parameters
Definition at line 474 of file SGObject.h.
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map for different parameter versions
Definition at line 477 of file SGObject.h.
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parameters
Definition at line 471 of file SGObject.h.
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protected |
maximum mismatch
Definition at line 735 of file WeightedDegreeStringKernel.h.
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protected |
MKL step size
Definition at line 728 of file WeightedDegreeStringKernel.h.
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protectedinherited |
|
protectedinherited |
|
protectedinherited |
|
protectedinherited |
|
protectedinherited |
|
inherited |
parallel
Definition at line 465 of file SGObject.h.
|
protected |
position weights
Definition at line 722 of file WeightedDegreeStringKernel.h.
|
protected |
position weights
Definition at line 724 of file WeightedDegreeStringKernel.h.
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protectedinherited |
|
protected |
sequence length
Definition at line 737 of file WeightedDegreeStringKernel.h.
|
protected |
if tree is initialized
Definition at line 756 of file WeightedDegreeStringKernel.h.
|
protected |
tries
Definition at line 753 of file WeightedDegreeStringKernel.h.
|
protected |
WeightedDegree kernel type
Definition at line 748 of file WeightedDegreeStringKernel.h.
|
inherited |
version
Definition at line 468 of file SGObject.h.
|
protected |
degree*length weights *length must match seq_length if != 0
Definition at line 714 of file WeightedDegreeStringKernel.h.
|
protected |
weights buffer
Definition at line 726 of file WeightedDegreeStringKernel.h.
|
protected |
degree
Definition at line 716 of file WeightedDegreeStringKernel.h.
|
protected |
length
Definition at line 718 of file WeightedDegreeStringKernel.h.
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protected |
which degree
Definition at line 750 of file WeightedDegreeStringKernel.h.