SHOGUN  v3.0.0
CMahalanobisDistance Class Reference

## Detailed Description

class MahalanobisDistance

The Mahalanobis distance for real valued features computes the distance between a feature vector and a distribution of features characterized by its mean and covariance.

$\displaystyle D = \sqrt{ (x_i - \mu)^T \Sigma^{-1} (x_i - \mu) }$

The Mahalanobis Squared distance does not take the square root:

$\displaystyle D = (x_i - \mu)^T \Sigma^{-1} (x_i - \mu)$

If use_mean is set to false (which it is by default) the distance is computed as

$\displaystyle D = \sqrt{ (x_i - x_i')^T \Sigma^{-1} (x_i - x_i') }$

i.e., instead of the mean as reference two vector $$x_i$$ and $$x_i'$$ are compared.

Wikipedia: Mahalanobis Distance

Definition at line 50 of file MahalanobisDistance.h.

Inheritance diagram for CMahalanobisDistance:
[legend]

## Public Member Functions

CMahalanobisDistance ()
CMahalanobisDistance (CDenseFeatures< float64_t > *l, CDenseFeatures< float64_t > *r)
virtual ~CMahalanobisDistance ()
virtual bool init (CFeatures *l, CFeatures *r)
virtual void cleanup ()
virtual EDistanceType get_distance_type ()
virtual EFeatureType get_feature_type ()
virtual const char * get_name () const
virtual bool get_disable_sqrt ()
virtual void set_disable_sqrt (bool state)
virtual bool get_use_mean ()
virtual void set_use_mean (bool state)
virtual EFeatureClass get_feature_class ()
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_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 ()
CFeaturesreplace_rhs (CFeatures *rhs)
CFeaturesreplace_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
virtual void remove_rhs ()
takes all necessary steps if the rhs is removed from distance matrix
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 ()
void unset_generic ()
virtual void print_serializable (const char *prefix="")
virtual bool save_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter())
virtual bool load_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter())
DynArray< TParameter * > * load_file_parameters (const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="")
DynArray< TParameter * > * load_all_file_parameters (int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="")
void map_parameters (DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos)
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)
virtual bool update_parameter_hash ()
virtual bool equals (CSGObject *other, float64_t accuracy=0.0)
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
ParameterMapm_parameter_map
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
virtual TParametermigrate (DynArray< TParameter * > *param_base, const SGParamInfo *target)
virtual void one_to_one_migration_prepare (DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL)
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)

## Protected Attributes

bool disable_sqrt
bool use_mean
SGVector< float64_tmean
SGMatrix< float64_ticov
float32_tprecomputed_matrix
bool precompute_matrix
CFeatureslhs
feature vectors to occur on the left hand side
CFeaturesrhs
feature vectors to occur on the right hand side
int32_t num_lhs
int32_t num_rhs

## Constructor & Destructor Documentation

 CMahalanobisDistance ( )

default constructor

Definition at line 22 of file MahalanobisDistance.cpp.

 CMahalanobisDistance ( CDenseFeatures< float64_t > * l, CDenseFeatures< float64_t > * r )

constructor

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

Definition at line 27 of file MahalanobisDistance.cpp.

 ~CMahalanobisDistance ( )
virtual

Definition at line 34 of file MahalanobisDistance.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 1196 of file SGObject.cpp.

 void cleanup ( )
virtual

cleanup distance

Implements CRealDistance.

Definition at line 60 of file MahalanobisDistance.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 1313 of file SGObject.cpp.

 float64_t compute ( int32_t idx_a, int32_t idx_b )
protectedvirtual

compute Mahalanobis distance between a feature vector of lhs to a feature vector of rhs if use_mean then idx_a is not used and the distance computed is between a feature vector of rhs and the distribution lhs

Parameters
 idx_a index of the feature vector in lhs idx_b index of the feature vector in rhs
Returns
value of the Mahalanobis distance

Implements CRealDistance.

Definition at line 64 of file MahalanobisDistance.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 143 of file Distance.h.

 virtual CSGObject* deep_copy ( ) const
virtualinherited

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

Definition at line 160 of file SGObject.h.

 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 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_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 in CEuclideanDistance.

Definition at line 117 of file Distance.h.

 void do_precompute_matrix ( )
protectedinherited

matrix precomputation

Definition at line 227 of file Distance.cpp.

 bool equals ( CSGObject * other, float64_t accuracy = 0.0 )
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)
Returns
true if all parameters were equal, false if not

Definition at line 1217 of file SGObject.cpp.

 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 98 of file MahalanobisDistance.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 126 of file Distance.h.

 SGMatrix get_distance_matrix ( )
inherited

get distance matrix (templated)

Returns
the distance matrix
 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 266 of file Distance.cpp.

 virtual EDistanceType get_distance_type ( )
virtual

get distance type we are

Returns
distance type MAHALANOBIS

Implements CRealDistance.

Definition at line 79 of file MahalanobisDistance.h.

 virtual EFeatureClass get_feature_class ( )
virtualinherited

get feature class the distance can deal with

Returns
feature class DENSE

Implements CDistance.

Definition at line 40 of file DenseDistance.h.

 virtual EFeatureType get_feature_type ( )
virtual

get feature type the distance can deal with

Returns
feature type DREAL

Reimplemented from CRealDistance.

Definition at line 85 of file MahalanobisDistance.h.

 SGIO * get_global_io ( )
inherited

get the io object

Returns
io object

Definition at line 214 of file SGObject.cpp.

 Parallel * get_global_parallel ( )
inherited

get the parallel object

Returns
parallel object

Definition at line 249 of file SGObject.cpp.

 Version * get_global_version ( )
inherited

get the version object

Returns
version object

Definition at line 262 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 194 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 1100 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 1124 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 1137 of file SGObject.cpp.

 virtual const char* get_name ( ) const
virtual

get name of the distance

Returns
name Mahalanobis

Reimplemented from CRealDistance.

Definition at line 91 of file MahalanobisDistance.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 282 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 291 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 260 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 200 of file Distance.h.

 virtual bool get_use_mean ( )
virtual

whether the distance is computed between the mean and a vector of rhs or between lhs and rhs

Returns
if the mean of lhs is used to obtain the distance

Definition at line 112 of file MahalanobisDistance.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 300 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 CRealDistance.

Definition at line 39 of file MahalanobisDistance.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 268 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 309 of file Distance.h.

inherited

Parameters

Definition at line 107 of file Distance.cpp.

 DynArray< TParameter * > * load_all_file_parameters ( int32_t file_version, int32_t current_version, CSerializableFile * file, const char * prefix = "" )
inherited

maps all parameters of this instance to the provided file version and loads all parameter data from the file into an array, which is sorted (basically calls load_file_parameter(...) for all parameters and puts all results into a sorted array)

Parameters
 file_version parameter version of the file current_version version from which mapping begins (you want to use Version::get_version_parameter() for this in most cases) file file to load from prefix prefix for members
Returns
(sorted) array of created TParameter instances with file data

Definition at line 673 of file SGObject.cpp.

 DynArray< TParameter * > * load_file_parameters ( const SGParamInfo * param_info, int32_t file_version, CSerializableFile * file, const char * prefix = "" )
inherited

loads some specified parameters from a file with a specified version The provided parameter info has a version which is recursively mapped until the file parameter version is reached. Note that there may be possibly multiple parameters in the mapping, therefore, a set of TParameter instances is returned

Parameters
 param_info information of parameter file_version parameter version of the file, must be <= provided parameter version file file to load from prefix prefix for members
Returns
new array with TParameter instances with the attached data

Definition at line 514 of file SGObject.cpp.

 bool load_serializable ( CSerializableFile * file, const char * prefix = "", int32_t param_version = Version::get_version_parameter() )
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 param_version (optional) a parameter version different to (this is mainly for testing, better do not use)
Returns
TRUE if done, otherwise FALSE

Definition at line 345 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 occurres.

Definition at line 1029 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 occurres.

Definition at line 1024 of file SGObject.cpp.

 void map_parameters ( DynArray< TParameter * > * param_base, int32_t & base_version, DynArray< const SGParamInfo * > * target_param_infos )
inherited

Takes a set of TParameter instances (base) with a certain version and a set of target parameter infos and recursively maps the base level wise to the current version using CSGObject::migrate(...). The base is replaced. After this call, the base version containing parameters should be of same version/type as the initial target parameter infos. Note for this to work, the migrate methods and all the internal parameter mappings have to match

Parameters
 param_base set of TParameter instances that are mapped to the provided target parameter infos base_version version of the parameter base target_param_infos set of SGParamInfo instances that specify the target parameter base

Definition at line 711 of file SGObject.cpp.

 TParameter * migrate ( DynArray< TParameter * > * param_base, const SGParamInfo * target )
protectedvirtualinherited

creates a new TParameter instance, which contains migrated data from the version that is provided. The provided parameter data base is used for migration, this base is a collection of all parameter data of the previous version. Migration is done FROM the data in param_base TO the provided param info Migration is always one version step. Method has to be implemented in subclasses, if no match is found, base method has to be called.

If there is an element in the param_base which equals the target, a copy of the element is returned. This represents the case when nothing has changed and therefore, the migrate method is not overloaded in a subclass

Parameters
 param_base set of TParameter instances to use for migration target parameter info for the resulting TParameter
Returns
a new TParameter instance with migrated data from the base of the type which is specified by the target parameter

Definition at line 918 of file SGObject.cpp.

 void one_to_one_migration_prepare ( DynArray< TParameter * > * param_base, const SGParamInfo * target, TParameter *& replacement, TParameter *& to_migrate, char * old_name = NULL )
protectedvirtualinherited

This method prepares everything for a one-to-one parameter migration. One to one here means that only ONE element of the parameter base is needed for the migration (the one with the same name as the target). Data is allocated for the target (in the type as provided in the target SGParamInfo), and a corresponding new TParameter instance is written to replacement. The to_migrate pointer points to the single needed TParameter instance needed for migration. If a name change happened, the old name may be specified by old_name. In addition, the m_delete_data flag of to_migrate is set to true. So if you want to migrate data, the only thing to do after this call is converting the data in the m_parameter fields. If unsure how to use - have a look into an example for this. (base_migration_type_conversion.cpp for example)

Parameters
 param_base set of TParameter instances to use for migration target parameter info for the resulting TParameter replacement (used as output) here the TParameter instance which is returned by migration is created into to_migrate the only source that is used for migration old_name with this parameter, a name change may be specified

Definition at line 858 of file SGObject.cpp.

 void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

Definition at line 1076 of file SGObject.cpp.

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

prints registered parameters out

Parameters
 prefix prefix for members

Definition at line 280 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
 lhs features 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
 rhs features 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

 void save ( CFile * writer )
inherited

save kernel matrix

Parameters
 writer File object via which to save data

Definition at line 113 of file Distance.cpp.

 bool save_serializable ( CSerializableFile * file, const char * prefix = "", int32_t param_version = Version::get_version_parameter() )
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 param_version (optional) a parameter version different to (this is mainly for testing, better do not use)
Returns
TRUE if done, otherwise FALSE

Definition at line 286 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 occurres.

Reimplemented in CKernel.

Definition at line 1039 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 occurres.

Definition at line 1034 of file SGObject.cpp.

 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 105 of file MahalanobisDistance.h.

 void set_generic< complex128_t > ( )
inherited

set generic type to T

Definition at line 41 of file SGObject.cpp.

 void set_global_io ( SGIO * io )
inherited

set the io object

Parameters
 io io object to use

Definition at line 207 of file SGObject.cpp.

 void set_global_parallel ( Parallel * parallel )
inherited

set the parallel object

Parameters
 parallel parallel object to use

Definition at line 220 of file SGObject.cpp.

 void set_global_version ( Version * version )
inherited

set the version object

Parameters
 version version object to use

Definition at line 255 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 267 of file Distance.h.

 virtual void set_use_mean ( bool state )
virtual

whether the distance is computed between the mean and a vector of rhs or between lhs and rhs

Parameters
 state new use_mean

Definition at line 119 of file MahalanobisDistance.h.

 virtual 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 151 of file SGObject.h.

 void unset_generic ( )
inherited

unset generic type

this has to be called in classes specializing a template class

Definition at line 275 of file SGObject.cpp.

 bool update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination.

Returns
bool if parameter combination has changed since last update.

Definition at line 227 of file SGObject.cpp.

## Member Data Documentation

 bool disable_sqrt
protected

if application of sqrt on matrix computation is disabled

Definition at line 138 of file MahalanobisDistance.h.

 SGMatrix icov
protected

inverse of the covariance matrix of lhs feature vectors

Definition at line 146 of file MahalanobisDistance.h.

 SGIO* io
inherited

io

Definition at line 514 of file SGObject.h.

 CFeatures* lhs
protectedinherited

feature vectors to occur on the left hand side

Definition at line 342 of file Distance.h.

inherited

parameters wrt which we can compute gradients

Definition at line 529 of file SGObject.h.

 uint32_t m_hash
inherited

Hash of parameter values

Definition at line 535 of file SGObject.h.

 Parameter* m_model_selection_parameters
inherited

model selection parameters

Definition at line 526 of file SGObject.h.

 ParameterMap* m_parameter_map
inherited

map for different parameter versions

Definition at line 532 of file SGObject.h.

 Parameter* m_parameters
inherited

parameters

Definition at line 523 of file SGObject.h.

 SGVector mean
protected

vector mean of the lhs feature vectors

Definition at line 144 of file MahalanobisDistance.h.

 int32_t num_lhs
protectedinherited

number of feature vectors on the left hand side

Definition at line 347 of file Distance.h.

 int32_t num_rhs
protectedinherited

number of feature vectors on the right hand side

Definition at line 349 of file Distance.h.

 Parallel* parallel
inherited

parallel

Definition at line 517 of file SGObject.h.

 bool precompute_matrix
protectedinherited

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

Definition at line 339 of file Distance.h.

 float32_t* precomputed_matrix
protectedinherited

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

Definition at line 334 of file Distance.h.

 CFeatures* rhs
protectedinherited

feature vectors to occur on the right hand side

Definition at line 344 of file Distance.h.

 bool use_mean
protected

whether the features lhs and rhs have exactly the same values

Definition at line 141 of file MahalanobisDistance.h.

 Version* version
inherited

version

Definition at line 520 of file SGObject.h.

The documentation for this class was generated from the following files:

SHOGUN Machine Learning Toolbox - Documentation