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CRandomFourierGaussPreproc Class Reference

Detailed Description

Preprocessor CRandomFourierGaussPreproc implements Random Fourier Features for the Gauss kernel a la Ali Rahimi and Ben Recht Nips2007 after preprocessing the features using them in a linear kernel approximates a gaussian kernel.

approximation quality depends on dimension of feature space, NOT on number of data.

effectively it requires two parameters for initialization: (A) the dimension of the input features stored in dim_input_space (B) the dimension of the output feature space

in order to make it work there are two ways: (1) if you have already previously computed random fourier features which you want to use together with newly computed ones, then you have to take the random coefficients from the previous computation and provide them via void set_randomcoefficients(...) for the new computation this case is important for example if you compute separately features on training and testing data in two feature objects

in this case you have to set 1a) void set_randomcoefficients(...)

(2) if you compute random fourier features from scratch in this case you have to set 2a) set_kernelwidth(...) 2b) void set_dim_feature_space(const int32_t dim); 2c) set_dim_input_space(const int32_t dim); 2d) init_randomcoefficients() or apply_to_feature_matrix(...)

Definition at line 48 of file RandomFourierGaussPreproc.h.

Inheritance diagram for CRandomFourierGaussPreproc:
[legend]

Public Member Functions

 CRandomFourierGaussPreproc ()
 
 CRandomFourierGaussPreproc (const CRandomFourierGaussPreproc &pr)
 
 ~CRandomFourierGaussPreproc ()
 
virtual SGMatrix< float64_t > apply_to_feature_matrix (CFeatures *features)
 
virtual SGVector< float64_t > apply_to_feature_vector (SGVector< float64_t > vector)
 
virtual EFeatureType get_feature_type ()
 
virtual EFeatureClass get_feature_class ()
 
virtual bool init (CFeatures *f)
 
void set_kernelwidth (const float64_t width)
 
float64_t get_kernelwidth () const
 
void get_randomcoefficients (float64_t **randomcoeff_additive2, float64_t **randomcoeff_multiplicative2, int32_t *dim_feature_space2, int32_t *dim_input_space2, float64_t *kernelwidth2) const
 
void set_randomcoefficients (float64_t *randomcoeff_additive2, float64_t *randomcoeff_multiplicative2, const int32_t dim_feature_space2, const int32_t dim_input_space2, const float64_t kernelwidth2)
 
void set_dim_input_space (const int32_t dim)
 
void set_dim_feature_space (const int32_t dim)
 
bool init_randomcoefficients ()
 
int32_t get_dim_input_space () const
 
int32_t get_dim_feature_space () const
 
void cleanup ()
 
virtual const char * get_name () const
 return the name of the preprocessor More...
 
virtual EPreprocessorType get_type () const
 return a type of preprocessor More...
 
virtual CFeatures * apply (CFeatures *features)
 
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 ()
 

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

void copy (const CRandomFourierGaussPreproc &feats)
 
bool test_rfinited () const
 
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)
 

Protected Attributes

float64_t kernelwidth
 
float64_t cur_kernelwidth
 
int32_t dim_input_space
 
int32_t cur_dim_input_space
 
int32_t dim_feature_space
 
int32_t cur_dim_feature_space
 
float64_t * randomcoeff_additive
 
float64_t * randomcoeff_multiplicative
 

Constructor & Destructor Documentation

CRandomFourierGaussPreproc ( )

default constructor

Definition at line 65 of file RandomFourierGaussPreproc.cpp.

CRandomFourierGaussPreproc ( const CRandomFourierGaussPreproc &  pr)

alternative constructor

Definition at line 100 of file RandomFourierGaussPreproc.cpp.

~CRandomFourierGaussPreproc ( )

default destructor takes care for float64_t* randomcoeff_additive,float64_t* randomcoeff_multiplicative;

Definition at line 130 of file RandomFourierGaussPreproc.cpp.

Member Function Documentation

virtual CFeatures* apply ( CFeatures *  features)
virtualinherited

generic interface for applying the preprocessor. used as a wrapper for apply_to_feature_matrix() method

Parameters
featuresthe dense input features
Returns
the result feature object after applying the preprocessor

Implements CPreprocessor.

SGMatrix< float64_t > apply_to_feature_matrix ( CFeatures *  features)
virtual

default processing routine, inherited from base class

Parameters
featuresthe features to be processed, must be of type CDenseFeatures<float64_t>
Returns
the processed feature matrix from the CDenseFeatures<float64_t> class in case (2) (see description above) this routine requires only steps 2a) and 2b), the rest is determined automatically

Implements CDensePreprocessor< float64_t >.

Definition at line 371 of file RandomFourierGaussPreproc.cpp.

SGVector< float64_t > apply_to_feature_vector ( SGVector< float64_t >  vector)
virtual

alternative processing routine, inherited from base class

Parameters
vectorthe feature vector to be processed
Returns
processed feature vector in order to work this routine requires the steps described above under cases (1) or two (2) before calling this routine

Implements CDensePreprocessor< float64_t >.

Definition at line 353 of file RandomFourierGaussPreproc.cpp.

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.

void cleanup ( )
virtual

inherited from base class does nothing

Implements CPreprocessor.

Definition at line 414 of file RandomFourierGaussPreproc.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.

void copy ( const CRandomFourierGaussPreproc &  feats)
protected

helper for copy constructor and assignment operator=

Definition at line 20 of file RandomFourierGaussPreproc.cpp.

CSGObject * deep_copy ( ) const
virtualinherited

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

Definition at line 231 of file SGObject.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.

int32_t get_dim_feature_space ( ) const

a getter

Returns
the set value of protected member dim_feature_space

Definition at line 145 of file RandomFourierGaussPreproc.cpp.

int32_t get_dim_input_space ( ) const

a getter

Returns
the set value of protected member dim_input_space

Definition at line 159 of file RandomFourierGaussPreproc.cpp.

EFeatureClass get_feature_class ( )
virtual

inherited from base class

Returns
F_DREAL

Reimplemented from CDensePreprocessor< float64_t >.

Definition at line 137 of file RandomFourierGaussPreproc.cpp.

EFeatureType get_feature_type ( )
virtual

inherited from base class

Returns
C_DENSE

Reimplemented from CDensePreprocessor< float64_t >.

Definition at line 141 of file RandomFourierGaussPreproc.cpp.

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.

float64_t get_kernelwidth ( ) const

getter for kernel width

Returns
kernel width throws exception if kernelwidth <=0

Definition at line 171 of file RandomFourierGaussPreproc.cpp.

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 name of the preprocessor

Implements CSGObject.

Definition at line 168 of file RandomFourierGaussPreproc.h.

void get_randomcoefficients ( float64_t **  randomcoeff_additive2,
float64_t **  randomcoeff_multiplicative2,
int32_t *  dim_feature_space2,
int32_t *  dim_input_space2,
float64_t *  kernelwidth2 
) const

getter for the random coefficients necessary for creating random fourier features compatible to the current ones returns values of internal members randomcoeff_additive and randomcoeff_multiplicative

Definition at line 259 of file RandomFourierGaussPreproc.cpp.

virtual EPreprocessorType get_type ( ) const
virtual

return a type of preprocessor

Reimplemented from CDensePreprocessor< float64_t >.

Definition at line 171 of file RandomFourierGaussPreproc.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.

bool init ( CFeatures *  f)
virtual

initializer routine calls set_dim_input_space(const int32_t dim); with the proper value calls init_randomcoefficients(); this call does NOT override a previous call to void set_randomcoefficients(...) IF and ONLY IF the dimensions of input AND feature space are equal to the values from the previous call to void set_randomcoefficients(...)

Parameters
fthe features to be processed, must be of type CDenseFeatures<float64_t>
Returns
true if new random coefficients were generated, false if old ones from a call to set_randomcoefficients(...) are kept

Implements CPreprocessor.

Definition at line 321 of file RandomFourierGaussPreproc.cpp.

bool init_randomcoefficients ( )

computes new random coefficients IF test_rfinited() evaluates to false test_rfinited() evaluates to TRUE if void set_randomcoefficients(...) hase been called and the values set by set_dim_input_space(...) , set_dim_feature_space(...) and set_kernelwidth(...) are consistent to the call of void set_randomcoefficients(...)

throws shogun exception if dim_feature_space <= 0 or dim_input_space <= 0

Returns
returns true if test_rfinited() evaluates to false and new coefficients are computed returns false if test_rfinited() evaluates to true and old random coefficients are kept which were set by a previous call to void set_randomcoefficients(...)

this function is useful if you want to use apply_to_feature_vector but cannot call before it init(CFeatures *f)

Definition at line 201 of file RandomFourierGaussPreproc.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 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.

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.

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.

void set_dim_feature_space ( const int32_t  dim)

a setter

Parameters
dimthe value of protected member dim_feature_space throws a shogun exception if dim<=0

Definition at line 149 of file RandomFourierGaussPreproc.cpp.

void set_dim_input_space ( const int32_t  dim)

a setter

Parameters
dimthe value of protected member dim_input_space throws a shogun exception if dim<=0

Definition at line 175 of file RandomFourierGaussPreproc.cpp.

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.

void set_kernelwidth ( const float64_t  width)

setter for kernel width

Parameters
widthkernel width to be set

Definition at line 163 of file RandomFourierGaussPreproc.cpp.

void set_randomcoefficients ( float64_t *  randomcoeff_additive2,
float64_t *  randomcoeff_multiplicative2,
const int32_t  dim_feature_space2,
const int32_t  dim_input_space2,
const float64_t  kernelwidth2 
)

setter for the random coefficients necessary for creating random fourier features compatible to the previous ones sets values of internal members randomcoeff_additive and randomcoeff_multiplicative simply use as input what you got from get_random_coefficients(...)

Definition at line 291 of file RandomFourierGaussPreproc.cpp.

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.

bool test_rfinited ( ) const
protected

tests whether rf features have already been initialized

Definition at line 185 of file RandomFourierGaussPreproc.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

int32_t cur_dim_feature_space
protected

actual dimension of output features as set by bool init_randomcoefficients() or void set_randomcoefficients

Definition at line 210 of file RandomFourierGaussPreproc.h.

int32_t cur_dim_input_space
protected

actual dimension of input features as set by bool init_randomcoefficients() or void set_randomcoefficients

Definition at line 199 of file RandomFourierGaussPreproc.h.

float64_t cur_kernelwidth
protected

dimension of input features width of gaussian kernel in the form of exp(-x^2 / (2.0 kernelwidth^2) ) NOTE the 2.0 and the power ^2 !

Definition at line 189 of file RandomFourierGaussPreproc.h.

int32_t dim_feature_space
protected

desired dimension of output features as set by void set_dim_feature_space(const int32_t dim)

Definition at line 205 of file RandomFourierGaussPreproc.h.

int32_t dim_input_space
protected

desired dimension of input features as set by void set_dim_input_space(const int32_t dim)

Definition at line 194 of file RandomFourierGaussPreproc.h.

SGIO* io
inherited

io

Definition at line 537 of file SGObject.h.

float64_t kernelwidth
protected

dimension of input features width of gaussian kernel in the form of exp(-x^2 / (2.0 kernelwidth^2) ) NOTE the 2.0 and the power ^2 !

Definition at line 184 of file RandomFourierGaussPreproc.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.

Parallel* parallel
inherited

parallel

Definition at line 540 of file SGObject.h.

float64_t* randomcoeff_additive
protected

random coefficient length = cur_dim_feature_space

Definition at line 221 of file RandomFourierGaussPreproc.h.

float64_t* randomcoeff_multiplicative
protected

random coefficient length = cur_dim_feature_space* cur_dim_input_space

Definition at line 227 of file RandomFourierGaussPreproc.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