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CGUIClassifier Class Reference

Detailed Description

UI classifier.

Definition at line 24 of file GUIClassifier.h.

Inheritance diagram for CGUIClassifier:
Inheritance graph
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Public Member Functions

 CGUIClassifier ()
 CGUIClassifier (CSGInterface *interface)
 ~CGUIClassifier ()
bool new_classifier (char *name, int32_t d=6, int32_t from_d=40)
bool set_max_train_time (float64_t max)
bool load (char *filename, char *type)
bool save (char *param)
CLabelsclassify ()
CLabelsclassify_kernelmachine ()
CLabelsclassify_distancemachine ()
CLabelsclassify_linear ()
CLabelsclassify_byte_linear ()
bool classify_example (int32_t idx, float64_t &result)
CMachineget_classifier ()
bool get_trained_classifier (float64_t *&weights, int32_t &rows, int32_t &cols, float64_t *&bias, int32_t &brows, int32_t &bcols, int32_t idx=-1)
int32_t get_num_svms ()
bool get_svm (float64_t *&weights, int32_t &rows, int32_t &cols, float64_t *&bias, int32_t &brows, int32_t &bcols, int32_t idx=-1)
bool get_linear (float64_t *&weights, int32_t &rows, int32_t &cols, float64_t *&bias, int32_t &brows, int32_t &bcols)
bool get_clustering (float64_t *&weights, int32_t &rows, int32_t &cols, float64_t *&bias, int32_t &brows, int32_t &bcols)
bool set_perceptron_parameters (float64_t lernrate, int32_t maxiter)
bool set_svm_C (float64_t C1, float64_t C2)
bool set_svm_bufsize (int32_t bufsize)
bool set_svm_qpsize (int32_t qpsize)
bool set_svm_max_qpsize (int32_t max_qpsize)
bool set_svm_shrinking_enabled (bool enabled)
bool set_svm_nu (float64_t nu)
bool set_svm_batch_computation_enabled (bool enabled)
bool set_do_auc_maximization (bool do_auc)
bool set_svm_linadd_enabled (bool enabled)
bool set_svm_bias_enabled (bool enabled)
bool set_mkl_interleaved_enabled (bool enabled)
bool set_svm_epsilon (float64_t epsilon)
bool set_svr_tube_epsilon (float64_t tube_epsilon)
bool set_svm_mkl_parameters (float64_t weight_epsilon, float64_t C_mkl, float64_t mkl_norm)
bool set_mkl_block_norm (float64_t mkl_bnorm)
bool set_elasticnet_lambda (float64_t lambda)
bool set_svm_precompute_enabled (int32_t precompute)
bool set_krr_tau (float64_t tau=1)
bool set_solver (char *solver)
bool set_constraint_generator (char *cg)
bool train_mkl_multiclass ()
bool train_mkl ()
bool train_svm ()
bool train_knn (int32_t k=3)
bool train_krr ()
bool train_clustering (int32_t k=3, int32_t max_iter=1000)
bool train_linear (float64_t gamma=0)
bool train_sparse_linear ()
bool train_wdocas ()
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 void update_parameter_hash ()
virtual bool parameter_hash_changed ()
virtual bool equals (CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)
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)

Protected Attributes

CSGInterface * ui
CMachineclassifier
float64_t max_train_time
float64_t perceptron_learnrate
int32_t perceptron_maxiter
int32_t svm_qpsize
int32_t svm_bufsize
int32_t svm_max_qpsize
float64_t mkl_norm
float64_t mkl_block_norm
float64_t ent_lambda
float64_t svm_weight_epsilon
float64_t svm_epsilon
float64_t svm_tube_epsilon
float64_t svm_nu
float64_t svm_C1
float64_t svm_C2
float64_t C_mkl
float64_t krr_tau
bool mkl_use_interleaved
bool svm_use_bias
bool svm_use_batch_computation
bool svm_use_linadd
bool svm_use_precompute
bool svm_use_precompute_subkernel
bool svm_use_precompute_subkernel_light
bool svm_use_shrinking
bool svm_do_auc_maximization
CSVMconstraint_generator
ESolverType solver_type

Constructor & Destructor Documentation

constructor

Definition at line 28 of file GUIClassifier.h.

CGUIClassifier ( CSGInterface *  interface)

constructor

Parameters
interface

Definition at line 69 of file GUIClassifier.cpp.

destructor

Definition at line 108 of file GUIClassifier.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 1185 of file SGObject.cpp.

CLabels * classify ( )

classify

Definition at line 1094 of file GUIClassifier.cpp.

CLabels * classify_byte_linear ( )

classify byte linear

Definition at line 1428 of file GUIClassifier.cpp.

CLabels * classify_distancemachine ( )

classify distance machine

Definition at line 1366 of file GUIClassifier.cpp.

bool classify_example ( int32_t  idx,
float64_t result 
)

classify example

Parameters
idx
result

Definition at line 1454 of file GUIClassifier.cpp.

CLabels * classify_kernelmachine ( )

classify kernel machine

Definition at line 1142 of file GUIClassifier.cpp.

CLabels * classify_linear ( )

classify linear

Definition at line 1403 of file GUIClassifier.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 1302 of file SGObject.cpp.

CSGObject * deep_copy ( ) const
virtualinherited

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

Definition at line 146 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 1206 of file SGObject.cpp.

CMachine* get_classifier ( )

get classifier

Definition at line 62 of file GUIClassifier.h.

bool get_clustering ( float64_t *&  weights,
int32_t &  rows,
int32_t &  cols,
float64_t *&  bias,
int32_t &  brows,
int32_t &  bcols 
)

get clustering

Parameters
weights
rows
cols
bias
brows
bcols

Definition at line 1286 of file GUIClassifier.cpp.

SGIO * get_global_io ( )
inherited

get the io object

Returns
io object

Definition at line 183 of file SGObject.cpp.

Parallel * get_global_parallel ( )
inherited

get the parallel object

Returns
parallel object

Definition at line 224 of file SGObject.cpp.

Version * get_global_version ( )
inherited

get the version object

Returns
version object

Definition at line 237 of file SGObject.cpp.

bool get_linear ( float64_t *&  weights,
int32_t &  rows,
int32_t &  cols,
float64_t *&  bias,
int32_t &  brows,
int32_t &  bcols 
)

get linear

Parameters
weights
rows
cols
bias
brows
bcols

Definition at line 1342 of file GUIClassifier.cpp.

SGStringList< char > get_modelsel_names ( )
inherited
Returns
vector of names of all parameters which are registered for model selection

Definition at line 1077 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 1101 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 1114 of file SGObject.cpp.

virtual const char* get_name ( ) const
virtual
Returns
object name

Implements CSGObject.

Definition at line 226 of file GUIClassifier.h.

int32_t get_num_svms ( )

get number of SVMs in Multiclass

Definition at line 1248 of file GUIClassifier.cpp.

bool get_svm ( float64_t *&  weights,
int32_t &  rows,
int32_t &  cols,
float64_t *&  bias,
int32_t &  brows,
int32_t &  bcols,
int32_t  idx = -1 
)

get svm

Parameters
weights
rows
cols
bias
brows
bcols
idx

Definition at line 1254 of file GUIClassifier.cpp.

bool get_trained_classifier ( float64_t *&  weights,
int32_t &  rows,
int32_t &  cols,
float64_t *&  bias,
int32_t &  brows,
int32_t &  bcols,
int32_t  idx = -1 
)

get trained classifier

Parameters
weights
rows
cols
bias
brows
bcols
idx

Definition at line 1193 of file GUIClassifier.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 243 of file SGObject.cpp.

bool load ( char *  filename,
char *  type 
)

load classifier from file

Definition at line 803 of file GUIClassifier.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 648 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 489 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 320 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 1004 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 >, and CDynamicObjectArray.

Definition at line 999 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 686 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 893 of file SGObject.cpp.

bool new_classifier ( char *  name,
int32_t  d = 6,
int32_t  from_d = 40 
)

create new classifier

Definition at line 114 of file GUIClassifier.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 833 of file SGObject.cpp.

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

Definition at line 209 of file SGObject.cpp.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

Definition at line 1053 of file SGObject.cpp.

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

prints registered parameters out

Parameters
prefixprefix for members

Definition at line 255 of file SGObject.cpp.

bool save ( char *  param)

save

Parameters
param

Definition at line 835 of file GUIClassifier.cpp.

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 261 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 1014 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 >, and CDynamicObjectArray.

Definition at line 1009 of file SGObject.cpp.

bool set_constraint_generator ( char *  cg)

set constraint generator

Definition at line 1559 of file GUIClassifier.cpp.

bool set_do_auc_maximization ( bool  do_auc)

set do auc maximization

Parameters
do_auc

Definition at line 1081 of file GUIClassifier.cpp.

bool set_elasticnet_lambda ( float64_t  lambda)

set elasticnet lambda

Parameters
lambda

Definition at line 957 of file GUIClassifier.cpp.

void set_generic< complex128_t > ( )
inherited

set generic type to T

Definition at line 38 of file SGObject.cpp.

void set_global_io ( SGIO io)
inherited

set the io object

Parameters
ioio object to use

Definition at line 176 of file SGObject.cpp.

void set_global_parallel ( Parallel parallel)
inherited

set the parallel object

Parameters
parallelparallel object to use

Definition at line 189 of file SGObject.cpp.

void set_global_version ( Version version)
inherited

set the version object

Parameters
versionversion object to use

Definition at line 230 of file SGObject.cpp.

bool set_krr_tau ( float64_t  tau = 1)

set KRR's tau

Definition at line 1495 of file GUIClassifier.cpp.

bool set_max_train_time ( float64_t  max)

set maximum train time

Definition at line 890 of file GUIClassifier.cpp.

bool set_mkl_block_norm ( float64_t  mkl_bnorm)

set mkl block norm

Parameters
mkl_bnorm

Definition at line 966 of file GUIClassifier.cpp.

bool set_mkl_interleaved_enabled ( bool  enabled)

set mkl interleaved enabled

Parameters
enabled

Definition at line 1070 of file GUIClassifier.cpp.

bool set_perceptron_parameters ( float64_t  lernrate,
int32_t  maxiter 
)

set perceptron parameters

Parameters
lernrate
maxiter

Definition at line 862 of file GUIClassifier.cpp.

bool set_solver ( char *  solver)

set solver type

Definition at line 1508 of file GUIClassifier.cpp.

bool set_svm_batch_computation_enabled ( bool  enabled)

set svm batch computation enabled

Parameters
enabled

Definition at line 1037 of file GUIClassifier.cpp.

bool set_svm_bias_enabled ( bool  enabled)

set svm bias enabled

Parameters
enabled

Definition at line 1059 of file GUIClassifier.cpp.

bool set_svm_bufsize ( int32_t  bufsize)

set svm bufsize

Parameters
bufsize

Definition at line 1015 of file GUIClassifier.cpp.

bool set_svm_C ( float64_t  C1,
float64_t  C2 
)

set svm C

Parameters
C1
C2

Definition at line 976 of file GUIClassifier.cpp.

bool set_svm_epsilon ( float64_t  epsilon)

set svm epsilon

Parameters
epsilon

Definition at line 879 of file GUIClassifier.cpp.

bool set_svm_linadd_enabled ( bool  enabled)

set svm linadd enabled

Parameters
enabled

Definition at line 1048 of file GUIClassifier.cpp.

bool set_svm_max_qpsize ( int32_t  max_qpsize)

set svm max qpsize

Parameters
max_qpsize

Definition at line 1004 of file GUIClassifier.cpp.

bool set_svm_mkl_parameters ( float64_t  weight_epsilon,
float64_t  C_mkl,
float64_t  mkl_norm 
)

set svm mkl parameters

Parameters
weight_epsilon
C_mkl
mkl_norm

Definition at line 936 of file GUIClassifier.cpp.

bool set_svm_nu ( float64_t  nu)

set svm nu

Parameters
nu

Definition at line 925 of file GUIClassifier.cpp.

bool set_svm_precompute_enabled ( int32_t  precompute)

set svm precompute enabled

Parameters
precompute
bool set_svm_qpsize ( int32_t  qpsize)

set svm qpsize

Parameters
qpsize

Definition at line 993 of file GUIClassifier.cpp.

bool set_svm_shrinking_enabled ( bool  enabled)

set svm shrinking enabled

Parameters
enabled

Definition at line 1026 of file GUIClassifier.cpp.

bool set_svr_tube_epsilon ( float64_t  tube_epsilon)

set svr tube epsilon

Parameters
tube_epsilon

Definition at line 903 of file GUIClassifier.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 140 of file SGObject.cpp.

bool train_clustering ( int32_t  k = 3,
int32_t  max_iter = 1000 
)

train clustering

Definition at line 622 of file GUIClassifier.cpp.

bool train_knn ( int32_t  k = 3)

train K-nearest-neighbour

Definition at line 658 of file GUIClassifier.cpp.

bool train_krr ( )

train kernel ridge regression

Definition at line 685 of file GUIClassifier.cpp.

bool train_linear ( float64_t  gamma = 0)

train linear classifier

Parameters
gammagamma parameter of LDA

Definition at line 722 of file GUIClassifier.cpp.

bool train_mkl ( )

train MKL

Definition at line 457 of file GUIClassifier.cpp.

bool train_mkl_multiclass ( )

train MKL multiclass

Definition at line 411 of file GUIClassifier.cpp.

bool train_sparse_linear ( )

train sparse linear classifier

bool train_svm ( )

train SVM

Definition at line 526 of file GUIClassifier.cpp.

bool train_wdocas ( )

train WD OCAS

Definition at line 779 of file GUIClassifier.cpp.

void unset_generic ( )
inherited

unset generic type

this has to be called in classes specializing a template class

Definition at line 250 of file SGObject.cpp.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

Definition at line 196 of file SGObject.cpp.

Member Data Documentation

float64_t C_mkl
protected

C mkl

Definition at line 264 of file GUIClassifier.h.

CMachine* classifier
protected

classifier

Definition at line 232 of file GUIClassifier.h.

CSVM* constraint_generator
protected

constraint generator

Definition at line 287 of file GUIClassifier.h.

float64_t ent_lambda
protected

ent lambda

Definition at line 250 of file GUIClassifier.h.

SGIO* io
inherited

io

Definition at line 461 of file SGObject.h.

float64_t krr_tau
protected

krr tau

Definition at line 266 of file GUIClassifier.h.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

Definition at line 476 of file SGObject.h.

uint32_t m_hash
inherited

Hash of parameter values

Definition at line 482 of file SGObject.h.

Parameter* m_model_selection_parameters
inherited

model selection parameters

Definition at line 473 of file SGObject.h.

ParameterMap* m_parameter_map
inherited

map for different parameter versions

Definition at line 479 of file SGObject.h.

Parameter* m_parameters
inherited

parameters

Definition at line 470 of file SGObject.h.

float64_t max_train_time
protected

max train time

Definition at line 234 of file GUIClassifier.h.

float64_t mkl_block_norm
protected

mkl block norm

Definition at line 248 of file GUIClassifier.h.

float64_t mkl_norm
protected

mkl norm

Definition at line 246 of file GUIClassifier.h.

bool mkl_use_interleaved
protected

mkl use interleaved

Definition at line 268 of file GUIClassifier.h.

Parallel* parallel
inherited

parallel

Definition at line 464 of file SGObject.h.

float64_t perceptron_learnrate
protected

perceptron learnrate

Definition at line 236 of file GUIClassifier.h.

int32_t perceptron_maxiter
protected

perceptron maxiter

Definition at line 238 of file GUIClassifier.h.

ESolverType solver_type
protected

solver type

Definition at line 289 of file GUIClassifier.h.

int32_t svm_bufsize
protected

svm bufsize

Definition at line 242 of file GUIClassifier.h.

float64_t svm_C1
protected

svm C1

Definition at line 260 of file GUIClassifier.h.

float64_t svm_C2
protected

svm C2

Definition at line 262 of file GUIClassifier.h.

bool svm_do_auc_maximization
protected

svm do auc maximization

Definition at line 284 of file GUIClassifier.h.

float64_t svm_epsilon
protected

svm epsilon

Definition at line 254 of file GUIClassifier.h.

int32_t svm_max_qpsize
protected

svm max qpsize

Definition at line 244 of file GUIClassifier.h.

float64_t svm_nu
protected

svm nu

Definition at line 258 of file GUIClassifier.h.

int32_t svm_qpsize
protected

svm qpsize

Definition at line 240 of file GUIClassifier.h.

float64_t svm_tube_epsilon
protected

svm tube epsilon

Definition at line 256 of file GUIClassifier.h.

bool svm_use_batch_computation
protected

svm use batch computation

Definition at line 272 of file GUIClassifier.h.

bool svm_use_bias
protected

svm use bias

Definition at line 270 of file GUIClassifier.h.

bool svm_use_linadd
protected

svm use linadd

Definition at line 274 of file GUIClassifier.h.

bool svm_use_precompute
protected

svm use precompute

Definition at line 276 of file GUIClassifier.h.

bool svm_use_precompute_subkernel
protected

svm use precompute subkernel

Definition at line 278 of file GUIClassifier.h.

bool svm_use_precompute_subkernel_light
protected

svm use precompute subkernel light

Definition at line 280 of file GUIClassifier.h.

bool svm_use_shrinking
protected

svm use shrinking

Definition at line 282 of file GUIClassifier.h.

float64_t svm_weight_epsilon
protected

svm weight epsilon

Definition at line 252 of file GUIClassifier.h.

CSGInterface* ui
protected

ui

Definition at line 230 of file GUIClassifier.h.

Version* version
inherited

version

Definition at line 467 of file SGObject.h.


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

SHOGUN Machine Learning Toolbox - Documentation