The Custom Kernelallows for custom user provided kernel matrices.
For squared training matrices it allows to store only the upper triangle of the kernel to save memory: Full symmetric kernel matrices can be stored as is or can be internally converted into (or directly given in) upper triangle representation. Also note that values are stored as 32bit floats.
Definition at line 29 of file CustomKernel.h.
Public Member Functions | |
CCustomKernel () | |
CCustomKernel (CKernel *k) | |
CCustomKernel (const float64_t *km, int32_t rows, int32_t cols) | |
virtual | ~CCustomKernel () |
virtual bool | dummy_init (int32_t rows, int32_t cols) |
virtual bool | init (CFeatures *l, CFeatures *r) |
virtual void | cleanup () |
virtual EKernelType | get_kernel_type () |
virtual EFeatureType | get_feature_type () |
virtual EFeatureClass | get_feature_class () |
virtual const char * | get_name () const |
bool | set_triangle_kernel_matrix_from_triangle (const float64_t *km, int32_t len) |
bool | set_triangle_kernel_matrix_from_full (const float64_t *km, int32_t rows, int32_t cols) |
bool | set_full_kernel_matrix_from_full (const float64_t *km, int32_t rows, int32_t cols) |
virtual int32_t | get_num_vec_lhs () |
virtual int32_t | get_num_vec_rhs () |
virtual bool | has_features () |
Protected Member Functions | |
virtual float64_t | compute (int32_t row, int32_t col) |
Protected Attributes | |
float32_t * | kmatrix |
int32_t | num_rows |
int32_t | num_cols |
bool | upper_diagonal |
CCustomKernel | ( | ) |
default constructor
Definition at line 19 of file CustomKernel.cpp.
CCustomKernel | ( | CKernel * | k | ) |
constructor
compute custom kernel from given kernel matrix
k | kernel matrix |
Definition at line 24 of file CustomKernel.cpp.
CCustomKernel | ( | const float64_t * | km, | |
int32_t | rows, | |||
int32_t | cols | |||
) |
constructor
sets full kernel matrix from full kernel matrix
km | kernel matrix | |
rows | number of rows in matrix | |
cols | number of cols in matrix |
Definition at line 67 of file CustomKernel.cpp.
~CCustomKernel | ( | ) | [virtual] |
Definition at line 73 of file CustomKernel.cpp.
void cleanup | ( | ) | [virtual] |
virtual float64_t compute | ( | int32_t | row, | |
int32_t | col | |||
) | [protected, virtual] |
compute kernel function
row | row | |
col | col |
Implements CKernel.
Definition at line 169 of file CustomKernel.h.
bool dummy_init | ( | int32_t | rows, | |
int32_t | cols | |||
) | [virtual] |
initialize kernel with dummy features
Kernels always need feature objects assigned. As the custom kernel does not really require this it creates some magic dummy features that only know about the number of vectors
rows | features of left-hand side | |
cols | features of right-hand side |
Definition at line 78 of file CustomKernel.cpp.
virtual EFeatureClass get_feature_class | ( | ) | [virtual] |
return feature class the kernel can deal with
Implements CKernel.
Definition at line 95 of file CustomKernel.h.
virtual EFeatureType get_feature_type | ( | ) | [virtual] |
return feature type the kernel can deal with
Implements CKernel.
Definition at line 89 of file CustomKernel.h.
virtual EKernelType get_kernel_type | ( | ) | [virtual] |
return what type of kernel we are
Implements CKernel.
Definition at line 83 of file CustomKernel.h.
virtual const char* get_name | ( | ) | const [virtual] |
return the kernel's name
Implements CSGObject.
Definition at line 101 of file CustomKernel.h.
virtual int32_t get_num_vec_lhs | ( | ) | [virtual] |
get number of vectors of lhs features
Reimplemented from CKernel.
Definition at line 139 of file CustomKernel.h.
virtual int32_t get_num_vec_rhs | ( | ) | [virtual] |
get number of vectors of rhs features
Reimplemented from CKernel.
Definition at line 148 of file CustomKernel.h.
virtual bool has_features | ( | ) | [virtual] |
test whether features have been assigned to lhs and rhs
Reimplemented from CKernel.
Definition at line 157 of file CustomKernel.h.
initialize kernel
l | features of left-hand side | |
r | features of right-hand side |
Reimplemented from CKernel.
Definition at line 83 of file CustomKernel.cpp.
bool set_full_kernel_matrix_from_full | ( | const float64_t * | km, | |
int32_t | rows, | |||
int32_t | cols | |||
) |
set full kernel matrix from full kernel matrix
km | kernel matrix | |
rows | number of rows in matrix | |
cols | number of cols in matrix |
Definition at line 163 of file CustomKernel.cpp.
bool set_triangle_kernel_matrix_from_full | ( | const float64_t * | km, | |
int32_t | rows, | |||
int32_t | cols | |||
) |
set kernel matrix (only elements from upper triangle) from squared matrix
km | kernel matrix | |
rows | number of rows in matrix | |
cols | number of cols in matrix |
Definition at line 140 of file CustomKernel.cpp.
bool set_triangle_kernel_matrix_from_triangle | ( | const float64_t * | km, | |
int32_t | len | |||
) |
set kernel matrix (only elements from upper triangle) from elements of upper triangle (concat'd), including the main diagonal
km | kernel matrix | |
len | denotes the size of the array and should match len=cols*(cols+1)/2 |
Definition at line 110 of file CustomKernel.cpp.
kernel matrix
Definition at line 190 of file CustomKernel.h.
int32_t num_cols [protected] |
number of columns
Definition at line 194 of file CustomKernel.h.
int32_t num_rows [protected] |
number of rows
Definition at line 192 of file CustomKernel.h.
bool upper_diagonal [protected] |
upper diagonal
Definition at line 196 of file CustomKernel.h.