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CRandom Class Reference

Detailed Description

: Pseudo random number geneartor

It is based on SIMD oriented Fast Mersenne Twister(SFMT) pseudorandom number generator.

Definition at line 32 of file Random.h.

Inheritance diagram for CRandom:
Inheritance graph
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Public Member Functions

 CRandom ()
 CRandom (uint32_t seed)
virtual ~CRandom ()
void set_seed (uint32_t seed)
uint32_t get_seed () const
uint32_t random_32 () const
uint64_t random_64 () const
int32_t random_s32 () const
int64_t random_s64 () const
uint64_t random (uint64_t min_value, uint64_t max_value)
int64_t random (int64_t min_value, int64_t max_value)
uint32_t random (uint32_t min_value, uint32_t max_value)
int32_t random (int32_t min_value, int32_t max_value)
float32_t random (float32_t min_value, float32_t max_value)
float64_t random (float64_t min_value, float64_t max_value)
floatmax_t random (floatmax_t min_value, floatmax_t max_value)
void fill_array (uint32_t *array, int32_t size) const
void fill_array (uint64_t *array, int32_t size) const
void fill_array_oc (float64_t *array, int32_t size) const
void fill_array_co (float64_t *array, int32_t size) const
void fill_array_oo (float64_t *array, int32_t size) const
void fill_array_c1o2 (float64_t *array, int32_t size) const
float64_t random_close () const
float64_t random_open () const
float64_t random_half_open () const
float64_t normal_distrib (float64_t mu, float64_t sigma) const
float64_t std_normal_distrib () const
virtual const char * get_name () const
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 ()

Public Attributes

SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_model_selection_parameters
Parameterm_gradient_parameters
ParameterMapm_parameter_map
uint32_t m_hash

Protected Member Functions

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)

Constructor & Destructor Documentation

CRandom ( )

default ctor

Definition at line 20 of file Random.cpp.

CRandom ( uint32_t  seed)

ctor

Parameters
seedthe seed for the PRNG

Definition at line 29 of file Random.cpp.

~CRandom ( )
virtual

dtor

Definition at line 38 of file Random.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 1196 of file SGObject.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.

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.

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
otherobject to compare with
accuracyaccuracy to use for comparison (optional)
Returns
true if all parameters were equal, false if not

Definition at line 1217 of file SGObject.cpp.

void fill_array ( uint32_t *  array,
int32_t  size 
) const

Fill an array of unsinged 32 bit integer

Parameters
array32-bit unsigened int array to be filled
sizesize of the array

Definition at line 131 of file Random.cpp.

void fill_array ( uint64_t *  array,
int32_t  size 
) const

Fill an array of unsinged 64 bit integer

Parameters
array64-bit unsigened int array to be filled
sizesize of the array

Definition at line 144 of file Random.cpp.

void fill_array_c1o2 ( float64_t array,
int32_t  size 
) const

Fills an array of float64_t with randoms from the [1,2) interval

Parameters
array
size

Definition at line 196 of file Random.cpp.

void fill_array_co ( float64_t array,
int32_t  size 
) const

Fills an array of float64_t with randoms from the [0,1) interval

Parameters
array
size

Definition at line 170 of file Random.cpp.

void fill_array_oc ( float64_t array,
int32_t  size 
) const

Fills an array of float64_t with randoms from the (0,1] interval

Parameters
array
size

Definition at line 157 of file Random.cpp.

void fill_array_oo ( float64_t array,
int32_t  size 
) const

Fills an array of float64_t with randoms from the (0,1) interval

Parameters
array
size

Definition at line 183 of file Random.cpp.

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.

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_namename 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_namename 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

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

Returns
name of the SGSerializable

Implements CSGObject.

Definition at line 269 of file Random.h.

uint32_t get_seed ( ) const

get seed

Returns
seed

Definition at line 53 of file Random.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 268 of file SGObject.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_versionparameter version of the file
current_versionversion from which mapping begins (you want to use Version::get_version_parameter() for this in most cases)
filefile to load from
prefixprefix 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_infoinformation of parameter
file_versionparameter version of the file, must be <= provided parameter version
filefile to load from
prefixprefix 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
filewhere to load from
prefixprefix 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
ShogunExceptionWill be thrown if an error occurres.

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

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
ShogunExceptionWill be thrown if an error occurres.

Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicArray< uint64_t >, and CDynamicObjectArray.

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_baseset of TParameter instances that are mapped to the provided target parameter infos
base_versionversion of the parameter base
target_param_infosset 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_baseset of TParameter instances to use for migration
targetparameter 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.

float64_t normal_distrib ( float64_t  mu,
float64_t  sigma 
) const

Sample a normal distrbution. Using Ziggurat algorithm

Parameters
mumean
sigmavariance
Returns
sample from the desired normal distrib

Definition at line 224 of file Random.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_baseset of TParameter instances to use for migration
targetparameter info for the resulting TParameter
replacement(used as output) here the TParameter instance which is returned by migration is created into
to_migratethe only source that is used for migration
old_namewith 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
prefixprefix for members

Definition at line 280 of file SGObject.cpp.

uint64_t random ( uint64_t  min_value,
uint64_t  max_value 
)

generate an unsigned 64bit integer in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 100 of file Random.h.

int64_t random ( int64_t  min_value,
int64_t  max_value 
)

generate an signed 64bit integer in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 112 of file Random.h.

uint32_t random ( uint32_t  min_value,
uint32_t  max_value 
)

generate an unsigned signed 32bit integer in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 124 of file Random.h.

int32_t random ( int32_t  min_value,
int32_t  max_value 
)

generate an signed 32bit integer in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 136 of file Random.h.

float32_t random ( float32_t  min_value,
float32_t  max_value 
)

generate an 32bit floating point number in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 148 of file Random.h.

float64_t random ( float64_t  min_value,
float64_t  max_value 
)

generate an 64bit floating point number in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 160 of file Random.h.

floatmax_t random ( floatmax_t  min_value,
floatmax_t  max_value 
)

generate an 96-128bit floating point number (depending on the size of floatmax_t) in the range [min_value, max_value] (closed interval!)

Parameters
min_valueminimum value
max_valuemaximum value
Returns
random number

Definition at line 173 of file Random.h.

uint32_t random_32 ( ) const

Generate an unsigned 32-bit random integer

Returns
the random 32-bit unsigned integer

Definition at line 121 of file Random.cpp.

uint64_t random_64 ( ) const

Generate an unsigned 64-bit random integer

Returns
the random 64-bit unsigned integer

Definition at line 126 of file Random.cpp.

float64_t random_close ( ) const

Get random

Returns
a float64_t random from [0,1] interval

Definition at line 209 of file Random.cpp.

float64_t random_half_open ( ) const

Get random

Returns
a float64_t random from [0,1) interval

Definition at line 219 of file Random.cpp.

float64_t random_open ( ) const

Get random

Returns
a float64_t random from (0,1) interval

Definition at line 214 of file Random.cpp.

int32_t random_s32 ( ) const

Generate a signed 32-bit random integer

Returns
the random 32-bit signed integer

Definition at line 77 of file Random.h.

int64_t random_s64 ( ) const

Generate a signed 64-bit random integer

Returns
the random 64-bit signed integer

Definition at line 87 of file Random.h.

bool save_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = Version::get_version_parameter() 
)
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
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
ShogunExceptionWill 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
ShogunExceptionWill be thrown if an error occurres.

Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicArray< uint64_t >, and CDynamicObjectArray.

Definition at line 1034 of file SGObject.cpp.

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
ioio object to use

Definition at line 207 of file SGObject.cpp.

void set_global_parallel ( Parallel parallel)
inherited

set the parallel object

Parameters
parallelparallel object to use

Definition at line 220 of file SGObject.cpp.

void set_global_version ( Version version)
inherited

set the version object

Parameters
versionversion object to use

Definition at line 255 of file SGObject.cpp.

void set_seed ( uint32_t  seed)

set seed

Parameters
seedseed for PRNG

Definition at line 48 of file Random.cpp.

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.

float64_t std_normal_distrib ( ) const

Sample a standard normal distribution, i.e. mean = 0, var = 1.0

Returns
sample from the std normal distrib

Definition at line 229 of file Random.cpp.

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

SGIO* io
inherited

io

Definition at line 514 of file SGObject.h.

Parameter* m_gradient_parameters
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.

Parallel* parallel
inherited

parallel

Definition at line 517 of file SGObject.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