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CCustomDistance Class Reference

Detailed Description

The Custom Distance allows for custom user provided distance matrices.

For squared training matrices it allows to store only the upper triangle of the distance to save memory: Full symmetric distance 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 31 of file CustomDistance.h.

Inheritance diagram for CCustomDistance:
Inheritance graph
[legend]

Public Member Functions

 CCustomDistance ()
 
 CCustomDistance (CDistance *d)
 
 CCustomDistance (const SGMatrix< float64_t > distance_matrix)
 
 CCustomDistance (const float64_t *dm, int32_t rows, int32_t cols)
 
 CCustomDistance (const float32_t *dm, int32_t rows, int32_t cols)
 
virtual ~CCustomDistance ()
 
virtual bool dummy_init (int32_t rows, int32_t cols)
 
virtual bool init (CFeatures *l, CFeatures *r)
 
virtual void cleanup ()
 
virtual EDistanceType get_distance_type ()
 
virtual EFeatureType get_feature_type ()
 
virtual EFeatureClass get_feature_class ()
 
virtual const char * get_name () const
 
bool set_triangle_distance_matrix_from_triangle (const float64_t *dm, int32_t len)
 
bool set_triangle_distance_matrix_from_triangle (const float32_t *dm, int32_t len)
 
template<class T >
bool set_triangle_distance_matrix_from_triangle_generic (const T *dm, int64_t len)
 
bool set_triangle_distance_matrix_from_full (const float64_t *dm, int32_t rows, int32_t cols)
 
bool set_triangle_distance_matrix_from_full (const float32_t *dm, int32_t rows, int32_t cols)
 
template<class T >
bool set_triangle_distance_matrix_from_full_generic (const T *dm, int32_t rows, int32_t cols)
 
bool set_full_distance_matrix_from_full (const float64_t *dm, int32_t rows, int32_t cols)
 
bool set_full_distance_matrix_from_full (const float32_t *dm, int32_t rows, int32_t cols)
 
template<class T >
bool set_full_distance_matrix_from_full_generic (const T *dm, int32_t rows, int32_t cols)
 
virtual int32_t get_num_vec_lhs ()
 
virtual int32_t get_num_vec_rhs ()
 
virtual bool has_features ()
 
virtual float64_t distance (int32_t idx_a, int32_t idx_b)
 
virtual float64_t distance_upper_bounded (int32_t idx_a, int32_t idx_b, float64_t upper_bound)
 
SGMatrix< float64_t > get_distance_matrix ()
 
template<class T >
SGMatrix< T > get_distance_matrix ()
 
int32_t compute_row_start (int64_t offs, int32_t n, bool symmetric)
 
void load (CFile *loader)
 
void save (CFile *writer)
 
CFeatures * get_lhs ()
 
CFeatures * get_rhs ()
 
CFeatures * replace_rhs (CFeatures *rhs)
 
CFeatures * replace_lhs (CFeatures *lhs)
 
virtual void remove_lhs_and_rhs ()
 
virtual void remove_lhs ()
 takes all necessary steps if the lhs is removed from distance matrix More...
 
virtual void remove_rhs ()
 takes all necessary steps if the rhs is removed from distance matrix More...
 
bool get_precompute_matrix ()
 
virtual void set_precompute_matrix (bool flag)
 
bool lhs_equals_rhs ()
 
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)
 
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

template<class T >
static void * get_distance_matrix_helper (void *p)
 

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 row, int32_t col)
 
void do_precompute_matrix ()
 matrix precomputation More...
 
virtual void load_serializable_pre () throw (ShogunException)
 
virtual void load_serializable_post () throw (ShogunException)
 
virtual void save_serializable_pre () throw (ShogunException)
 
virtual void save_serializable_post () throw (ShogunException)
 

Static Protected Member Functions

static void * run_distance_thread (void *p)
 run distance thread More...
 

Protected Attributes

float32_t * dmatrix
 
int32_t num_rows
 
int32_t num_cols
 
bool upper_diagonal
 
float32_t * precomputed_matrix
 
bool precompute_matrix
 
CFeatures * lhs
 feature vectors to occur on the left hand side More...
 
CFeatures * rhs
 feature vectors to occur on the right hand side More...
 
int32_t num_lhs
 
int32_t num_rhs
 

Constructor & Destructor Documentation

CCustomDistance ( )

default constructor

Definition at line 20 of file CustomDistance.cpp.

CCustomDistance ( CDistance *  d)

constructor

compute custom distance from given distance matrix

Parameters
ddistance matrix

Definition at line 25 of file CustomDistance.cpp.

CCustomDistance ( const SGMatrix< float64_t >  distance_matrix)

constructor

Parameters
distance_matrixdistance matrix

Definition at line 66 of file CustomDistance.cpp.

CCustomDistance ( const float64_t *  dm,
int32_t  rows,
int32_t  cols 
)

constructor

sets full distance matrix from full distance matrix (from double precision floats)

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 75 of file CustomDistance.cpp.

CCustomDistance ( const float32_t *  dm,
int32_t  rows,
int32_t  cols 
)

constructor

sets full distance matrix from full distance matrix (from single precision floats)

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 82 of file CustomDistance.cpp.

~CCustomDistance ( )
virtual

Definition at line 89 of file CustomDistance.cpp.

Member Function Documentation

void build_gradient_parameter_dictionary ( CMap< TParameter *, CSGObject * > *  dict)
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.

Parameters
dictdictionary of parameters to be built.

Definition at line 597 of file SGObject.cpp.

void cleanup ( )
virtual

clean up distance

Implements CDistance.

Definition at line 132 of file CustomDistance.cpp.

CSGObject * clone ( )
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.

Returns
an identical copy of the given object, which is disjoint in memory. NULL if the clone fails. Note that the returned object is SG_REF'ed

Definition at line 714 of file SGObject.cpp.

float64_t compute ( int32_t  row,
int32_t  col 
)
protectedvirtual

compute distance function

Parameters
rowrow
colcol
Returns
computed distance function

Implements CDistance.

Definition at line 137 of file CustomDistance.cpp.

int32_t compute_row_start ( int64_t  offs,
int32_t  n,
bool  symmetric 
)
inherited

compute row start offset for parallel kernel matrix computation

Parameters
offsoffset
nnumber of columns
symmetricwhether matrix is symmetric

Definition at line 144 of file Distance.h.

CSGObject * deep_copy ( ) const
virtualinherited

A deep copy. All the instance variables will also be copied.

Definition at line 198 of file SGObject.cpp.

float64_t distance ( int32_t  idx_a,
int32_t  idx_b 
)
virtualinherited

get distance function for lhs feature vector a and rhs feature vector b

Parameters
idx_afeature vector a at idx_a
idx_bfeature vector b at idx_b
Returns
distance value

Definition at line 189 of file Distance.cpp.

virtual float64_t distance_upper_bounded ( int32_t  idx_a,
int32_t  idx_b,
float64_t  upper_bound 
)
virtualinherited

get distance function for lhs feature vector a and rhs feature vector b. The computation of the distance stops if the intermediate result is larger than upper_bound. This is useful to use with John Langford's Cover Tree and it is ONLY implemented for Euclidean distance

Parameters
idx_afeature vector a at idx_a
idx_bfeature vector b at idx_b
upper_boundvalue above which the computation halts
Returns
distance value or upper_bound

Reimplemented in CEuclideanDistance.

Definition at line 118 of file Distance.h.

void do_precompute_matrix ( )
protectedinherited

matrix precomputation

Definition at line 227 of file Distance.cpp.

bool dummy_init ( int32_t  rows,
int32_t  cols 
)
virtual

initialize distance with dummy features

Distances always need feature objects assigned. As the custom distance does not really require this it creates some magic dummy features that only know about the number of vectors

Parameters
rowsfeatures of left-hand side
colsfeatures of right-hand side
Returns
if initializing was successful

Definition at line 94 of file CustomDistance.cpp.

bool equals ( CSGObject *  other,
float64_t  accuracy = 0.0,
bool  tolerant = false 
)
virtualinherited

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.

Parameters
otherobject to compare with
accuracyaccuracy to use for comparison (optional)
tolerantallows linient check on float equality (within accuracy)
Returns
true if all parameters were equal, false if not

Definition at line 618 of file SGObject.cpp.

template SGMatrix< float32_t > get_distance_matrix< float32_t > ( )
inherited

get distance matrix

Returns
computed distance matrix (needs to be cleaned up)

Definition at line 127 of file Distance.h.

SGMatrix< T > get_distance_matrix ( )
inherited

get distance matrix (templated)

Returns
the distance matrix

Definition at line 317 of file Distance.cpp.

template void * get_distance_matrix_helper< float32_t > ( void *  p)
staticinherited

helper for computing the kernel matrix in a parallel way

Parameters
pthread parameters

Definition at line 266 of file Distance.cpp.

virtual EDistanceType get_distance_type ( )
virtual

return what type of distance we are

Returns
distance type CUSTOM

Implements CDistance.

Definition at line 104 of file CustomDistance.h.

virtual EFeatureClass get_feature_class ( )
virtual

return feature class the distance can deal with

Returns
feature class ANY

Implements CDistance.

Definition at line 116 of file CustomDistance.h.

virtual EFeatureType get_feature_type ( )
virtual

return feature type the distance can deal with

Returns
feature type ANY

Implements CDistance.

Definition at line 110 of file CustomDistance.h.

SGIO * get_global_io ( )
inherited

get the io object

Returns
io object

Definition at line 235 of file SGObject.cpp.

Parallel * get_global_parallel ( )
inherited

get the parallel object

Returns
parallel object

Definition at line 277 of file SGObject.cpp.

Version * get_global_version ( )
inherited

get the version object

Returns
version object

Definition at line 290 of file SGObject.cpp.

CFeatures* get_lhs ( )
inherited

get left-hand side features used in distance matrix

Returns
left-hand side features

Definition at line 195 of file Distance.h.

SGStringList< char > get_modelsel_names ( )
inherited
Returns
vector of names of all parameters which are registered for model selection

Definition at line 498 of file SGObject.cpp.

char * get_modsel_param_descr ( const char *  param_name)
inherited

Returns description of a given parameter string, if it exists. SG_ERROR otherwise

Parameters
param_namename of the parameter
Returns
description of the parameter

Definition at line 522 of file SGObject.cpp.

index_t get_modsel_param_index ( const char *  param_name)
inherited

Returns index of model selection parameter with provided index

Parameters
param_namename of model selection parameter
Returns
index of model selection parameter with provided name, -1 if there is no such

Definition at line 535 of file SGObject.cpp.

virtual const char* get_name ( ) const
virtual

return the distance's name

Returns
name Custom

Implements CSGObject.

Definition at line 122 of file CustomDistance.h.

virtual int32_t get_num_vec_lhs ( )
virtual

get number of vectors of lhs features

Returns
number of vectors of left-hand side

Reimplemented from CDistance.

Definition at line 334 of file CustomDistance.h.

virtual int32_t get_num_vec_rhs ( )
virtual

get number of vectors of rhs features

Returns
number of vectors of right-hand side

Reimplemented from CDistance.

Definition at line 343 of file CustomDistance.h.

bool get_precompute_matrix ( )
inherited

FIXME: precompute matrix should be dropped, handling should be via customdistance

Returns
if precompute_matrix

Definition at line 261 of file Distance.h.

CFeatures* get_rhs ( )
inherited

get right-hand side features used in distance matrix

Returns
right-hand side features

Definition at line 201 of file Distance.h.

virtual bool has_features ( )
virtual

test whether features have been assigned to lhs and rhs

Returns
true if features are assigned

Reimplemented from CDistance.

Definition at line 352 of file CustomDistance.h.

bool init ( CFeatures *  l,
CFeatures *  r 
)
virtual

initialize distance

Parameters
lfeatures of left-hand side
rfeatures of right-hand side
Returns
if initializing was successful

Reimplemented from CDistance.

Definition at line 99 of file CustomDistance.cpp.

bool is_generic ( EPrimitiveType *  generic) const
virtualinherited

If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.

Parameters
genericset to the type of the generic if returning TRUE
Returns
TRUE if a class template.

Definition at line 296 of file SGObject.cpp.

bool lhs_equals_rhs ( )
inherited

test whether features on lhs and rhs are the same

Returns
true if features are the same

Definition at line 310 of file Distance.h.

void load ( CFile *  loader)
inherited

load the kernel matrix

Parameters
loaderFile object via which to load data

Definition at line 107 of file Distance.cpp.

bool load_serializable ( CSerializableFile *  file,
const char *  prefix = "" 
)
virtualinherited

Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!

Parameters
filewhere to load from
prefixprefix for members
Returns
TRUE if done, otherwise FALSE

Definition at line 369 of file SGObject.cpp.

void load_serializable_post ( )
throw (ShogunException
)
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.

Exceptions
ShogunExceptionwill be thrown if an error occurs.

Reimplemented in CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.

Definition at line 426 of file SGObject.cpp.

void load_serializable_pre ( )
throw (ShogunException
)
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.

Exceptions
ShogunExceptionwill 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 421 of file SGObject.cpp.

bool parameter_hash_changed ( )
virtualinherited
Returns
whether parameter combination has changed since last update

Definition at line 262 of file SGObject.cpp.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

Definition at line 474 of file SGObject.cpp.

void print_serializable ( const char *  prefix = "")
virtualinherited

prints registered parameters out

Parameters
prefixprefix for members

Definition at line 308 of file SGObject.cpp.

void remove_lhs ( )
virtualinherited

takes all necessary steps if the lhs is removed from distance matrix

Definition at line 130 of file Distance.cpp.

void remove_lhs_and_rhs ( )
virtualinherited

remove lhs and rhs from distance

Definition at line 119 of file Distance.cpp.

void remove_rhs ( )
virtualinherited

takes all necessary steps if the rhs is removed from distance matrix

takes all necessary steps if the rhs is removed from distance

Definition at line 138 of file Distance.cpp.

CFeatures * replace_lhs ( CFeatures *  lhs)
inherited

replace left-hand side features used in distance matrix

make sure to check that your distance can deal with the supplied features (!)

Parameters
lhsfeatures of right-hand side
Returns
replaced left-hand side features

Definition at line 167 of file Distance.cpp.

CFeatures * replace_rhs ( CFeatures *  rhs)
inherited

replace right-hand side features used in distance matrix

make sure to check that your distance can deal with the supplied features (!)

Parameters
rhsfeatures of right-hand side
Returns
replaced right-hand side features

Definition at line 145 of file Distance.cpp.

static void* run_distance_thread ( void *  p)
staticprotectedinherited

run distance thread

void save ( CFile *  writer)
inherited

save kernel matrix

Parameters
writerFile object via which to save data

Definition at line 113 of file Distance.cpp.

bool save_serializable ( CSerializableFile *  file,
const char *  prefix = "" 
)
virtualinherited

Save this object to file.

Parameters
filewhere to save the object; will be closed during returning if PREFIX is an empty string.
prefixprefix for members
Returns
TRUE if done, otherwise FALSE

Definition at line 314 of file SGObject.cpp.

void save_serializable_post ( )
throw (ShogunException
)
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.

Exceptions
ShogunExceptionwill be thrown if an error occurs.

Reimplemented in CKernel.

Definition at line 436 of file SGObject.cpp.

void save_serializable_pre ( )
throw (ShogunException
)
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.

Exceptions
ShogunExceptionwill be thrown if an error occurs.

Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.

Definition at line 431 of file SGObject.cpp.

bool set_full_distance_matrix_from_full ( const float64_t *  dm,
int32_t  rows,
int32_t  cols 
)

set full distance matrix from full distance matrix

for float64's

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 278 of file CustomDistance.h.

bool set_full_distance_matrix_from_full ( const float32_t *  dm,
int32_t  rows,
int32_t  cols 
)

set full distance matrix from full distance matrix

for float32's

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 293 of file CustomDistance.h.

bool set_full_distance_matrix_from_full_generic ( const T *  dm,
int32_t  rows,
int32_t  cols 
)

set full distance matrix from full distance matrix

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 307 of file CustomDistance.h.

void set_generic ( )
inherited

Definition at line 41 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 46 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 51 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 56 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 61 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 66 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 71 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 76 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 81 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 86 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 91 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 96 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 101 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 106 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 111 of file SGObject.cpp.

void set_generic ( )
inherited

set generic type to T

void set_global_io ( SGIO *  io)
inherited

set the io object

Parameters
ioio object to use

Definition at line 228 of file SGObject.cpp.

void set_global_parallel ( Parallel *  parallel)
inherited

set the parallel object

Parameters
parallelparallel object to use

Definition at line 241 of file SGObject.cpp.

void set_global_version ( Version *  version)
inherited

set the version object

Parameters
versionversion object to use

Definition at line 283 of file SGObject.cpp.

virtual void set_precompute_matrix ( bool  flag)
virtualinherited

FIXME: precompute matrix should be dropped, handling should be via customdistance

Parameters
flagif precompute_matrix

Definition at line 268 of file Distance.h.

bool set_triangle_distance_matrix_from_full ( const float64_t *  dm,
int32_t  rows,
int32_t  cols 
)

set distance matrix (only elements from upper triangle) from squared matrix

for float64's

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 212 of file CustomDistance.h.

bool set_triangle_distance_matrix_from_full ( const float32_t *  dm,
int32_t  rows,
int32_t  cols 
)

set distance matrix (only elements from upper triangle) from squared matrix

for float32's

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 228 of file CustomDistance.h.

bool set_triangle_distance_matrix_from_full_generic ( const T *  dm,
int32_t  rows,
int32_t  cols 
)

set distance matrix (only elements from upper triangle) from squared matrix

Parameters
dmdistance matrix
rowsnumber of rows in matrix
colsnumber of cols in matrix
Returns
if setting was successful

Definition at line 243 of file CustomDistance.h.

bool set_triangle_distance_matrix_from_triangle ( const float64_t *  dm,
int32_t  len 
)

set distance matrix (only elements from upper triangle) from elements of upper triangle (concat'd), including the main diagonal

small variant for floats64's, triangle needs to have less than 2**32 elements

Parameters
dmdistance matrix
lendenotes the size of the array and should match len=cols*(cols+1)/2
Returns
if setting was successful

Definition at line 134 of file CustomDistance.h.

bool set_triangle_distance_matrix_from_triangle ( const float32_t *  dm,
int32_t  len 
)

set distance matrix (only elements from upper triangle) from elements of upper triangle (concat'd), including the main diagonal

small variant for floats32's, triangle needs to have less than 2**32 elements

Parameters
dmdistance matrix
lendenotes the size of the array and should match len=cols*(cols+1)/2
Returns
if setting was successful

Definition at line 150 of file CustomDistance.h.

bool set_triangle_distance_matrix_from_triangle_generic ( const T *  dm,
int64_t  len 
)

set distance matrix (only elements from upper triangle) from elements of upper triangle (concat'd), including the main diagonal

big variant, allowing the triangle to have more than 2**31-1 elements

Parameters
dmdistance matrix
lendenotes the size of the array and should match len=cols*(cols+1)/2
Returns
if setting was successful

Definition at line 167 of file CustomDistance.h.

CSGObject * shallow_copy ( ) const
virtualinherited

A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.

Reimplemented in CGaussianKernel.

Definition at line 192 of file SGObject.cpp.

void unset_generic ( )
inherited

unset generic type

this has to be called in classes specializing a template class

Definition at line 303 of file SGObject.cpp.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

Definition at line 248 of file SGObject.cpp.

Member Data Documentation

float32_t* dmatrix
protected

distance matrix

Definition at line 374 of file CustomDistance.h.

SGIO* io
inherited

io

Definition at line 369 of file SGObject.h.

CFeatures* lhs
protectedinherited

feature vectors to occur on the left hand side

Definition at line 343 of file Distance.h.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

Definition at line 384 of file SGObject.h.

uint32_t m_hash
inherited

Hash of parameter values

Definition at line 387 of file SGObject.h.

Parameter* m_model_selection_parameters
inherited

model selection parameters

Definition at line 381 of file SGObject.h.

Parameter* m_parameters
inherited

parameters

Definition at line 378 of file SGObject.h.

int32_t num_cols
protected

number of columns

Definition at line 378 of file CustomDistance.h.

int32_t num_lhs
protectedinherited

number of feature vectors on the left hand side

Definition at line 348 of file Distance.h.

int32_t num_rhs
protectedinherited

number of feature vectors on the right hand side

Definition at line 350 of file Distance.h.

int32_t num_rows
protected

number of rows

Definition at line 376 of file CustomDistance.h.

Parallel* parallel
inherited

parallel

Definition at line 372 of file SGObject.h.

bool precompute_matrix
protectedinherited

FIXME: precompute matrix should be dropped, handling should be via customdistance

Definition at line 340 of file Distance.h.

float32_t* precomputed_matrix
protectedinherited

FIXME: precompute matrix should be dropped, handling should be via customdistance

Definition at line 335 of file Distance.h.

CFeatures* rhs
protectedinherited

feature vectors to occur on the right hand side

Definition at line 345 of file Distance.h.

bool upper_diagonal
protected

upper diagonal

Definition at line 380 of file CustomDistance.h.

Version* version
inherited

version

Definition at line 375 of file SGObject.h.

The documentation for this class was generated from the following files:
SHOGUN Machine Learning Toolbox - Documentation