SHOGUN  4.2.0
CEuclideanDistance Class Reference

## Detailed Description

class EuclideanDistance

The familiar Euclidean distance for real valued features computes the square root of the sum of squared disparity between the corresponding feature dimensions of two data points.

$\displaystyle d({\bf x},{\bf x'})= \sqrt{\sum_{i=0}^{n}|{\bf x_i}-{\bf x'_i}|^2}$

This special case of Minkowski metric is invariant to an arbitrary translation or rotation in feature space.

The Euclidean Squared distance does not take the square root:

$\displaystyle d({\bf x},{\bf x'})= \sum_{i=0}^{n}|{\bf x_i}-{\bf x'_i}|^2$

Distance is computed as :

$\displaystyle \sqrt{{\bf x}\cdot {\bf x} - 2{\bf x}\cdot {\bf x'} + {\bf x'}\cdot {\bf x'}}$

Squared norms for left hand side and right hand side features can be precomputed. WARNING : Make sure to reset squared norms using reset_squared_norms() when features or feature matrix are changed.

CMinkowskiMetric
Wikipedia: Distance in Euclidean space

Definition at line 58 of file EuclideanDistance.h.

Inheritance diagram for CEuclideanDistance:
[legend]

## Public Member Functions

CEuclideanDistance ()

CEuclideanDistance (CDotFeatures *l, CDotFeatures *r)

virtual ~CEuclideanDistance ()

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

virtual void cleanup ()

virtual EDistanceType get_distance_type ()

virtual EFeatureClass get_feature_class ()

virtual EFeatureType get_feature_type ()

virtual const char * get_name () const

virtual bool get_disable_sqrt ()

virtual void set_disable_sqrt (bool state)

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 ()

virtual CFeaturesreplace_rhs (CFeatures *rhs)

virtual CFeaturesreplace_lhs (CFeatures *lhs)

virtual float64_t distance (int32_t idx_a, int32_t idx_b)

SGMatrix< float64_tget_distance_matrix ()

template<class T >
SGMatrix< T > get_distance_matrix ()

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

void save (CFile *writer)

CFeaturesget_lhs ()

CFeaturesget_rhs ()

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)

virtual int32_t get_num_vec_lhs ()

virtual int32_t get_num_vec_rhs ()

virtual bool has_features ()

bool lhs_equals_rhs ()

virtual CSGObjectshallow_copy () const

virtual CSGObjectdeep_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)

SGIOget_global_io ()

void set_global_parallel (Parallel *parallel)

Parallelget_global_parallel ()

void set_global_version (Version *version)

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

template<typename T , typename U = void>
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 CSGObjectclone ()

## Static Public Member Functions

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

## Public Attributes

SGIOio

Parallelparallel

Versionversion

Parameterm_parameters

Parameterm_model_selection_parameters

uint32_t m_hash

## Protected Member Functions

virtual float64_t compute (int32_t idx_a, int32_t idx_b)

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)

## Protected Attributes

bool disable_sqrt

SGVector< float64_tm_rhs_squared_norms

SGVector< float64_tm_lhs_squared_norms

float32_tprecomputed_matrix

bool precompute_matrix

CFeatureslhs
feature vectors to occur on the left hand side More...

CFeaturesrhs
feature vectors to occur on the right hand side More...

int32_t num_lhs

int32_t num_rhs

## Constructor & Destructor Documentation

 CEuclideanDistance ( )

default constructor

Definition at line 21 of file EuclideanDistance.cpp.

 CEuclideanDistance ( CDotFeatures * l, CDotFeatures * r )

constructor

Parameters
 l features of left-hand side r features of right-hand side

Definition at line 26 of file EuclideanDistance.cpp.

 ~CEuclideanDistance ( )
virtual

destructor

Definition at line 32 of file EuclideanDistance.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
 dict dictionary 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
 l left hand side features r right hand side features
Returns
true if the features are compatible

Definition at line 101 of file Distance.cpp.

 void cleanup ( )
virtual

cleanup distance

Implements CDistance.

Definition at line 61 of file EuclideanDistance.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 idx_a, int32_t idx_b )
protectedvirtual

compute kernel function for features a and b idx_{a,b} denote the index of the feature vectors in the corresponding feature object

Implements CDistance.

Definition at line 66 of file EuclideanDistance.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
 offs offset n number of columns symmetric whether 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_a feature vector a at idx_a idx_b feature vector b at idx_b
Returns
distance value

Definition at line 206 of file Distance.cpp.

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

compute the distance between 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

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

Reimplemented from CDistance.

Definition at line 145 of file EuclideanDistance.cpp.

 void do_precompute_matrix ( )
protectedinherited

matrix precomputation

Definition at line 244 of file Distance.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
 other object to compare with accuracy accuracy to use for comparison (optional) tolerant allows 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
 _tag name 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
 name name of the parameter
Returns
value of the parameter corresponding to the input name and type

Definition at line 388 of file SGObject.h.

 virtual bool get_disable_sqrt ( )
virtual

disable application of sqrt on matrix computation the matrix can then also be named norm squared

Returns
if application of sqrt is disabled

Definition at line 114 of file EuclideanDistance.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

Definition at line 283 of file Distance.cpp.

 virtual EDistanceType get_distance_type ( )
virtual

get distance type we are

Returns
distance type EUCLIDEAN

Implements CDistance.

Definition at line 89 of file EuclideanDistance.h.

 virtual EFeatureClass get_feature_class ( )
virtual

get feature class the distance can deal with

Returns
feature class DENSE

Implements CDistance.

Definition at line 95 of file EuclideanDistance.h.

 virtual EFeatureType get_feature_type ( )
virtual

get feature type the distance can deal with

Returns
feature type DREAL

Implements CDistance.

Definition at line 101 of file EuclideanDistance.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_name name 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_name name 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

get name of the distance

Returns
name Euclidean

Implements CSGObject.

Definition at line 107 of file EuclideanDistance.h.

 virtual int32_t get_num_vec_lhs ( )
virtualinherited

get number of vectors of lhs features

Returns
number of vectors of left-hand side

Reimplemented in CCustomDistance.

Definition at line 312 of file Distance.h.

 virtual int32_t get_num_vec_rhs ( )
virtualinherited

get number of vectors of rhs features

Returns
number of vectors of right-hand side

Reimplemented in CCustomDistance.

Definition at line 321 of file Distance.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
 name name 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
 tag tag 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
 name name 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 ( )
virtualinherited

test whether features have been assigned to lhs and rhs

Returns
true if features are assigned

Reimplemented in CCustomDistance.

Definition at line 330 of file Distance.h.

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

init distance

Parameters
 l features of left-hand side r features of right-hand side
Returns
if init was successful

Reimplemented from CDistance.

Definition at line 37 of file EuclideanDistance.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
 generic set 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.

inherited

Parameters

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
 file where to load from prefix prefix 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
 ShogunException will be thrown if an error occurs.

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
 ShogunException will be thrown if an error occurs.

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.

 void precompute_lhs ( )
virtual

Precomputation of squared norms for features of left hand side WARNING : Make sure to reset computations using reset_precompute() when features or feature matrix are changed.

Reimplemented from CDistance.

Definition at line 83 of file EuclideanDistance.cpp.

 void precompute_rhs ( )
virtual

Precomputation of squared norms for features of right hand side WARNING : Make sure to reset computations using reset_precompute() when features or feature matrix are changed.

Reimplemented from CDistance.

Definition at line 97 of file EuclideanDistance.cpp.

 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
 prefix prefix 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
 _tag name and type information of parameter value value 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
 name name of the parameter value value 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 )
virtual

replace left-hand side features used in distance matrix

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

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

Reimplemented from CDistance.

Definition at line 117 of file EuclideanDistance.cpp.

 CFeatures * replace_rhs ( CFeatures * rhs )
virtual

replace right-hand side features used in distance matrix

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

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

Reimplemented from CDistance.

Definition at line 126 of file EuclideanDistance.cpp.

 void reset_precompute ( )
virtual

Reset squared norm precomputations for features of both sides Should be used to reset whenever features or feature matrix are changed.

Reimplemented from CDistance.

Definition at line 111 of file EuclideanDistance.cpp.

 static void* run_distance_thread ( void * p )
staticprotectedinherited

 void save ( CFile * writer )
inherited

save kernel matrix

Parameters
 writer File 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
 file where to save the object; will be closed during returning if PREFIX is an empty string. prefix prefix 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
 ShogunException will 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
 ShogunException will be thrown if an error occurs.

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
 _tag name and type information of parameter value value 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
 name name of the parameter value value of the parameter along with type information

Definition at line 354 of file SGObject.h.

 virtual void set_disable_sqrt ( bool state )
virtual

disable application of sqrt on matrix computation the matrix can then also be named norm squared

Parameters
 state new disable_sqrt

Definition at line 121 of file EuclideanDistance.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
 io io object to use

Definition at line 261 of file SGObject.cpp.

 void set_global_parallel ( Parallel * parallel )
inherited

set the parallel object

Parameters
 parallel parallel object to use

Definition at line 274 of file SGObject.cpp.

 void set_global_version ( Version * version )
inherited

set the version object

Parameters
 version version 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
 flag if precompute_matrix

Definition at line 297 of file Distance.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

 bool disable_sqrt
protected

if application of sqrt on matrix computation is disabled

Definition at line 184 of file EuclideanDistance.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.

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.

 SGVector m_lhs_squared_norms
protected

squared norms from features of left hand side

Definition at line 190 of file EuclideanDistance.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.

 SGVector m_rhs_squared_norms
protected

squared norms from features of right hand side

Definition at line 187 of file EuclideanDistance.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.

 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.

 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