SHOGUN
v1.1.0
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Pyramid Kernel over Chi2 matched histograms.
Definition at line 28 of file PyramidChi2.h.
Public Member Functions | |
CPyramidChi2 () | |
CPyramidChi2 (int32_t size, int32_t num_cells2, float64_t *weights_foreach_cell2, int32_t width_computation_type2, float64_t width2) | |
CPyramidChi2 (CSimpleFeatures< float64_t > *l, CSimpleFeatures< float64_t > *r, int32_t size, int32_t num_cells2, float64_t *weights_foreach_cell2, int32_t width_computation_type2, float64_t width2) | |
virtual bool | init (CFeatures *l, CFeatures *r) |
virtual | ~CPyramidChi2 () |
virtual void | cleanup () |
virtual EKernelType | get_kernel_type () |
virtual const char * | get_name () const |
virtual void | setparams_pychi2 (int32_t num_cells2, float64_t *weights_foreach_cell2, int32_t width_computation_type2, float64_t width2) |
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CDotKernel () | |
CDotKernel (int32_t cachesize) | |
CDotKernel (CFeatures *l, CFeatures *r) | |
virtual EFeatureClass | get_feature_class () |
virtual EFeatureType | get_feature_type () |
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CKernel () | |
CKernel (int32_t size) | |
CKernel (CFeatures *l, CFeatures *r, int32_t size) | |
virtual | ~CKernel () |
float64_t | kernel (int32_t idx_a, int32_t idx_b) |
SGMatrix< float64_t > | get_kernel_matrix () |
virtual SGVector< float64_t > | get_kernel_col (int32_t j) |
virtual SGVector< float64_t > | get_kernel_row (int32_t i) |
template<class T > | |
SGMatrix< T > | get_kernel_matrix () |
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 () |
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 | |
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 void | set_subkernel_weights (SGVector< float64_t > weights) |
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CSGObject () | |
CSGObject (const CSGObject &orig) | |
virtual | ~CSGObject () |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
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 () |
SGVector< char * > | get_modelsel_names () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
Protected Member Functions | |
virtual float64_t | compute (int32_t idx_a, int32_t idx_b) |
Protected Attributes | |
int32_t | num_cells |
float64_t * | weights |
int32_t | width_computation_type |
float64_t | width |
int32_t | num_randfeats_forwidthcomputation |
Additional Inherited Members | |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
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template<class T > | |
static void * | get_kernel_matrix_helper (void *p) |
CPyramidChi2 | ( | ) |
default constructor protected to avoid its usage
Definition at line 21 of file PyramidChi2.cpp.
CPyramidChi2 | ( | int32_t | size, |
int32_t | num_cells2, | ||
float64_t * | weights_foreach_cell2, | ||
int32_t | width_computation_type2, | ||
float64_t | width2 | ||
) |
constructor
size | cache size in MB |
num_cells2 | - the number of pyramid cells |
weights_foreach_cell2 | the vector of weights for each cell with which the Chi2 distance gets weighted |
width_computation_type2 | - 0 use the following parameter as fixed width, 1- use mean of inner distances in cases 1 and 2 the value of parameter width is still important, see parameter width2 |
width2 | - in case of width_computation_type ==0 it is the width, in case of width_computation_type > 0 its value determines the how many random features are used for determining the width in case of width_computation_type > 0 set width2 <=1 to use all LEFT HAND SIDE features for width estimation |
Definition at line 31 of file PyramidChi2.cpp.
CPyramidChi2 | ( | CSimpleFeatures< float64_t > * | l, |
CSimpleFeatures< float64_t > * | r, | ||
int32_t | size, | ||
int32_t | num_cells2, | ||
float64_t * | weights_foreach_cell2, | ||
int32_t | width_computation_type2, | ||
float64_t | width2 | ||
) |
constructor
l | features lhs convention: concatenated features along all cells, i.e. [feature for cell1, feature for cell2, ... feature for last cell] , the dimensionality of the base feature is equal to dividing the total feature length by the number ofcells |
r | features rhs the same convention as for param l applies here |
size | cache size |
num_cells2 | - the number of pyramid cells |
weights_foreach_cell2 | the vector of weights for each cell with which the Chi2 distance gets weighted |
width_computation_type2 | - 0 use the following parameter as fixed width, 1- use mean of inner distances in case 1 the value of parameter width is important!!! |
width2 | - in case of width_computation_type ==0 it is the width, in case of width_computation_type > 0 its value determines the how many random features are used for determining the width in case of width_computation_type > 0 set width2 <=1 to use all LEFT HAND SIDE features for width estimation |
Definition at line 83 of file PyramidChi2.cpp.
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virtual |
Definition at line 115 of file PyramidChi2.cpp.
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virtual |
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protectedvirtual |
compute kernel function for features a and b
idx_a | index of feature vector a |
idx_b | index of feature vector b |
Reimplemented from CDotKernel.
Definition at line 122 of file PyramidChi2.cpp.
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return what type of kernel we are Linear,Polynomial, Gaussian,...
Implements CDotKernel.
Definition at line 92 of file PyramidChi2.h.
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return the name of a kernel
Reimplemented from CDotKernel.
Definition at line 98 of file PyramidChi2.h.
init
l | features lhs |
r | reatures rhs |
Reimplemented from CDotKernel.
Definition at line 77 of file PyramidChi2.cpp.
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virtual |
sets parameters, see also constructor
num_cells2 | - the number of pyramid cells |
weights_foreach_cell2 | the vector of weights for each cell with which the Chi2 distance gets weighted |
width_computation_type2 | - 0 use the following parameter as fixed width, 1- use mean of inner distances in cases 1 and 2 the value of parameter width is still important, see parameter width2 |
width2 | - in case of width_computation_type ==0 it is the width, in case of width_computation_type > 0 its value determines the how many random features are used for determining the width in case of width_computation_type > 0 set width2 <=1 to use all LEFT HAND SIDE features for width estimation |
Definition at line 242 of file PyramidChi2.cpp.
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protected |
number of pyramidcells across all pyramidlevel
Definition at line 131 of file PyramidChi2.h.
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protected |
in case of adaptive width computation: how many features to use
Definition at line 141 of file PyramidChi2.h.
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protected |
vector of weights for each pyramid cell
Definition at line 134 of file PyramidChi2.h.
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protected |
width
Definition at line 139 of file PyramidChi2.h.
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protected |
width_computation_type
Definition at line 137 of file PyramidChi2.h.