SHOGUN
v1.1.0
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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 24 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 () |
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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 () |
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 | |
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) |
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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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 () |
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template<class T > | |
static void * | get_kernel_matrix_helper (void *p) |
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int32_t | cache_size |
cache_size in MB | |
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 |
CSparseKernel | ( | int32_t | cachesize | ) |
CSparseKernel | ( | CFeatures * | l, |
CFeatures * | r | ||
) |
constructor
l | features for left-hand side |
r | features for right-hand side |
Definition at line 38 of file SparseKernel.h.
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virtual |
return feature class the kernel can deal with
Implements CKernel.
Definition at line 70 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 96 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 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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pure virtual |
return what type of kernel we are, e.g. Linear,Polynomial, Gaussian,...
abstract base method
Implements CKernel.
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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 83 of file SparseKernel.h.
initialize kernel
l | features of left-hand side |
r | features of right-hand side |
Reimplemented from CKernel.
Definition at line 49 of file SparseKernel.h.