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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:
[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)
 
virtual void precompute_rhs ()
 
virtual void precompute_lhs ()
 
virtual void reset_precompute ()
 
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 ()
 
virtual CFeatures * replace_rhs (CFeatures *rhs)
 
virtual 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)
 
bool has (const std::string &name) const
 
template<typename T >
bool has (const Tag< T > &tag) const
 
template<typename T , typename U = void>
bool has (const std::string &name) const
 
template<typename T >
void set (const Tag< T > &_tag, const T &value)
 
template<typename T , typename U = void>
void set (const std::string &name, const T &value)
 
template<typename T >
T get (const Tag< T > &_tag) const
 
template<typename T , typename U = void>
T get (const std::string &name) const
 
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 bool check_compatibility (CFeatures *l, CFeatures *r)
 
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)
 
template<typename T >
void register_param (Tag< T > &_tag, const T &value)
 
template<typename T >
void register_param (const std::string &name, const T &value)
 

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 630 of file SGObject.cpp.

bool check_compatibility ( CFeatures *  l,
CFeatures *  r 
)
protectedvirtualinherited

Checks the compatibility between two supplied features

Parameters
lleft hand side features
rright hand side features
Returns
true if the features are compatible

Definition at line 101 of file Distance.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 747 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 173 of file Distance.h.

CSGObject * deep_copy ( ) const
virtualinherited

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

Definition at line 231 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 206 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 124 of file Distance.h.

void do_precompute_matrix ( )
protectedinherited

matrix precomputation

Definition at line 244 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 651 of file SGObject.cpp.

T get ( const Tag< T > &  _tag) const
inherited

Getter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.

Parameters
_tagname and type information of parameter
Returns
value of the parameter identified by the input tag

Definition at line 367 of file SGObject.h.

T get ( const std::string &  name) const
inherited

Getter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.

Parameters
namename of the parameter
Returns
value of the parameter corresponding to the input name and type

Definition at line 388 of file SGObject.h.

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 156 of file Distance.h.

SGMatrix< T > get_distance_matrix ( )
inherited

get distance matrix (templated)

Returns
the distance matrix

Definition at line 334 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 283 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 268 of file SGObject.cpp.

Parallel * get_global_parallel ( )
inherited

get the parallel object

Returns
parallel object

Definition at line 310 of file SGObject.cpp.

Version * get_global_version ( )
inherited

get the version object

Returns
version object

Definition at line 323 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 224 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 531 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 555 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 568 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 290 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 230 of file Distance.h.

bool has ( const std::string &  name) const
inherited

Checks if object has a class parameter identified by a name.

Parameters
namename of the parameter
Returns
true if the parameter exists with the input name

Definition at line 289 of file SGObject.h.

bool has ( const Tag< T > &  tag) const
inherited

Checks if object has a class parameter identified by a Tag.

Parameters
tagtag of the parameter containing name and type information
Returns
true if the parameter exists with the input tag

Definition at line 301 of file SGObject.h.

bool has ( const std::string &  name) const
inherited

Checks if a type exists for a class parameter identified by a name.

Parameters
namename of the parameter
Returns
true if the parameter exists with the input name and type

Definition at line 312 of file SGObject.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 329 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 339 of file Distance.h.

void load ( CFile *  loader)
inherited

load the kernel matrix

Parameters
loaderFile object via which to load data

Definition at line 132 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 402 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 459 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 454 of file SGObject.cpp.

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

Definition at line 295 of file SGObject.cpp.

virtual void precompute_lhs ( )
virtualinherited

Precomputation related to features of left hand side WARNING : Make sure to reset computations using reset_precompute() when features or feature matrix are changed. This method is empty, should be overloaded in derived class.

Reimplemented in CEuclideanDistance.

Definition at line 143 of file Distance.h.

virtual void precompute_rhs ( )
virtualinherited

Precomputation related to features of right hand side WARNING : Make sure to reset computations using reset_precompute() when features or feature matrix are changed. This method is empty, should be overloaded in derived class.

Reimplemented in CEuclideanDistance.

Definition at line 135 of file Distance.h.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

Definition at line 507 of file SGObject.cpp.

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

prints registered parameters out

Parameters
prefixprefix for members

Definition at line 341 of file SGObject.cpp.

void register_param ( Tag< T > &  _tag,
const T &  value 
)
protectedinherited

Registers a class parameter which is identified by a tag. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.

Parameters
_tagname and type information of parameter
valuevalue of the parameter

Definition at line 439 of file SGObject.h.

void register_param ( const std::string &  name,
const T &  value 
)
protectedinherited

Registers a class parameter which is identified by a name. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.

Parameters
namename of the parameter
valuevalue of the parameter along with type information

Definition at line 452 of file SGObject.h.

void remove_lhs ( )
virtualinherited

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

Definition at line 155 of file Distance.cpp.

void remove_lhs_and_rhs ( )
virtualinherited

remove lhs and rhs from distance

Definition at line 144 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 163 of file Distance.cpp.

CFeatures * replace_lhs ( CFeatures *  lhs)
virtualinherited

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

Reimplemented in CEuclideanDistance.

Definition at line 188 of file Distance.cpp.

CFeatures * replace_rhs ( CFeatures *  rhs)
virtualinherited

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

Reimplemented in CEuclideanDistance.

Definition at line 170 of file Distance.cpp.

virtual void reset_precompute ( )
virtualinherited

Reset precomputations for features of both sides Should be used to reset whenever features or feature matrix are changed. This method is empty, should be overloaded in derived class.

Reimplemented in CEuclideanDistance.

Definition at line 150 of file Distance.h.

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 138 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 347 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 469 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 464 of file SGObject.cpp.

void set ( const Tag< T > &  _tag,
const T &  value 
)
inherited

Setter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.

Parameters
_tagname and type information of parameter
valuevalue of the parameter

Definition at line 328 of file SGObject.h.

void set ( const std::string &  name,
const T &  value 
)
inherited

Setter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.

Parameters
namename of the parameter
valuevalue of the parameter along with type information

Definition at line 354 of file SGObject.h.

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 74 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 79 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 84 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 89 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 94 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 99 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 104 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 109 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 114 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 119 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 124 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 129 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 134 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 139 of file SGObject.cpp.

void set_generic ( )
inherited

Definition at line 144 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 261 of file SGObject.cpp.

void set_global_parallel ( Parallel *  parallel)
inherited

set the parallel object

Parameters
parallelparallel object to use

Definition at line 274 of file SGObject.cpp.

void set_global_version ( Version *  version)
inherited

set the version object

Parameters
versionversion object to use

Definition at line 316 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 297 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 225 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 336 of file SGObject.cpp.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

Definition at line 281 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 537 of file SGObject.h.

CFeatures* lhs
protectedinherited

feature vectors to occur on the left hand side

Definition at line 381 of file Distance.h.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

Definition at line 552 of file SGObject.h.

uint32_t m_hash
inherited

Hash of parameter values

Definition at line 555 of file SGObject.h.

Parameter* m_model_selection_parameters
inherited

model selection parameters

Definition at line 549 of file SGObject.h.

Parameter* m_parameters
inherited

parameters

Definition at line 546 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 386 of file Distance.h.

int32_t num_rhs
protectedinherited

number of feature vectors on the right hand side

Definition at line 388 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 540 of file SGObject.h.

bool precompute_matrix
protectedinherited

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

Definition at line 378 of file Distance.h.

float32_t* precomputed_matrix
protectedinherited

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

Definition at line 373 of file Distance.h.

CFeatures* rhs
protectedinherited

feature vectors to occur on the right hand side

Definition at line 383 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 543 of file SGObject.h.

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