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CGUIClassifier Class Reference

Detailed Description

UI classifier.

Definition at line 24 of file GUIClassifier.h.

Inheritance diagram for CGUIClassifier:
[legend]

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)
 
CLabels * classify ()
 
CLabels * classify_kernelmachine ()
 
CLabels * classify_distancemachine ()
 
CLabels * classify_linear ()
 
CLabels * classify_byte_linear ()
 
bool classify_example (int32_t idx, float64_t &result)
 
CMachine * get_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 ()
 
virtual const char * get_name () const
 
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

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

CSGInterface * ui
 
CMachine * classifier
 
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
 
CSVM * constraint_generator
 
ESolverType solver_type
 

Constructor & Destructor Documentation

CGUIClassifier ( )

constructor

Definition at line 28 of file GUIClassifier.h.

CGUIClassifier ( CSGInterface *  interface)

constructor

Parameters
interface

Definition at line 71 of file GUIClassifier.cpp.

~CGUIClassifier ( )

destructor

Definition at line 110 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 630 of file SGObject.cpp.

CLabels * classify ( )

classify

Definition at line 1103 of file GUIClassifier.cpp.

CLabels* classify_byte_linear ( )

classify byte linear

CLabels * classify_distancemachine ( )

classify distance machine

Definition at line 1377 of file GUIClassifier.cpp.

bool classify_example ( int32_t  idx,
float64_t &  result 
)

classify example

Parameters
idx
result

Definition at line 1467 of file GUIClassifier.cpp.

CLabels * classify_kernelmachine ( )

classify kernel machine

Definition at line 1153 of file GUIClassifier.cpp.

CLabels * classify_linear ( )

classify linear

Definition at line 1414 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 747 of file SGObject.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.

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 1297 of file GUIClassifier.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.

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 1353 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 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
Returns
object name

Implements CSGObject.

Definition at line 228 of file GUIClassifier.h.

int32_t get_num_svms ( )

get number of SVMs in Multiclass

Definition at line 1259 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 1265 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 1204 of file GUIClassifier.cpp.

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 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 ( char *  filename,
char *  type 
)

load classifier from file

Definition at line 810 of file GUIClassifier.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 new_classifier ( char *  name,
int32_t  d = 6,
int32_t  from_d = 40 
)

create new classifier

Definition at line 116 of file GUIClassifier.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 ( char *  param)

save

Parameters
param

Definition at line 844 of file GUIClassifier.cpp.

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.

bool set_constraint_generator ( char *  cg)

set constraint generator

Definition at line 1572 of file GUIClassifier.cpp.

bool set_do_auc_maximization ( bool  do_auc)

set do auc maximization

Parameters
do_auc

Definition at line 1090 of file GUIClassifier.cpp.

bool set_elasticnet_lambda ( float64_t  lambda)

set elasticnet lambda

Parameters
lambda

Definition at line 966 of file GUIClassifier.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.

bool set_krr_tau ( float64_t  tau = 1)

set KRR's tau

Definition at line 1508 of file GUIClassifier.cpp.

bool set_max_train_time ( float64_t  max)

set maximum train time

Definition at line 899 of file GUIClassifier.cpp.

bool set_mkl_block_norm ( float64_t  mkl_bnorm)

set mkl block norm

Parameters
mkl_bnorm

Definition at line 975 of file GUIClassifier.cpp.

bool set_mkl_interleaved_enabled ( bool  enabled)

set mkl interleaved enabled

Parameters
enabled

Definition at line 1079 of file GUIClassifier.cpp.

bool set_perceptron_parameters ( float64_t  lernrate,
int32_t  maxiter 
)

set perceptron parameters

Parameters
lernrate
maxiter

Definition at line 871 of file GUIClassifier.cpp.

bool set_solver ( char *  solver)

set solver type

Definition at line 1521 of file GUIClassifier.cpp.

bool set_svm_batch_computation_enabled ( bool  enabled)

set svm batch computation enabled

Parameters
enabled

Definition at line 1046 of file GUIClassifier.cpp.

bool set_svm_bias_enabled ( bool  enabled)

set svm bias enabled

Parameters
enabled

Definition at line 1068 of file GUIClassifier.cpp.

bool set_svm_bufsize ( int32_t  bufsize)

set svm bufsize

Parameters
bufsize

Definition at line 1024 of file GUIClassifier.cpp.

bool set_svm_C ( float64_t  C1,
float64_t  C2 
)

set svm C

Parameters
C1
C2

Definition at line 985 of file GUIClassifier.cpp.

bool set_svm_epsilon ( float64_t  epsilon)

set svm epsilon

Parameters
epsilon

Definition at line 888 of file GUIClassifier.cpp.

bool set_svm_linadd_enabled ( bool  enabled)

set svm linadd enabled

Parameters
enabled

Definition at line 1057 of file GUIClassifier.cpp.

bool set_svm_max_qpsize ( int32_t  max_qpsize)

set svm max qpsize

Parameters
max_qpsize

Definition at line 1013 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 945 of file GUIClassifier.cpp.

bool set_svm_nu ( float64_t  nu)

set svm nu

Parameters
nu

Definition at line 934 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 1002 of file GUIClassifier.cpp.

bool set_svm_shrinking_enabled ( bool  enabled)

set svm shrinking enabled

Parameters
enabled

Definition at line 1035 of file GUIClassifier.cpp.

bool set_svr_tube_epsilon ( float64_t  tube_epsilon)

set svr tube epsilon

Parameters
tube_epsilon

Definition at line 912 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 225 of file SGObject.cpp.

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

train clustering

Definition at line 628 of file GUIClassifier.cpp.

bool train_knn ( int32_t  k = 3)

train K-nearest-neighbour

Definition at line 664 of file GUIClassifier.cpp.

bool train_krr ( )

train kernel ridge regression

Definition at line 691 of file GUIClassifier.cpp.

bool train_linear ( float64_t  gamma = 0)

train linear classifier

Parameters
gammagamma parameter of LDA

Definition at line 728 of file GUIClassifier.cpp.

bool train_mkl ( )

train MKL

Definition at line 463 of file GUIClassifier.cpp.

bool train_mkl_multiclass ( )

train MKL multiclass

Definition at line 417 of file GUIClassifier.cpp.

bool train_sparse_linear ( )

train sparse linear classifier

bool train_svm ( )

train SVM

Definition at line 532 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 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

float64_t C_mkl
protected

C mkl

Definition at line 266 of file GUIClassifier.h.

CMachine* classifier
protected

classifier

Definition at line 234 of file GUIClassifier.h.

CSVM* constraint_generator
protected

constraint generator

Definition at line 289 of file GUIClassifier.h.

float64_t ent_lambda
protected

ent lambda

Definition at line 252 of file GUIClassifier.h.

SGIO* io
inherited

io

Definition at line 537 of file SGObject.h.

float64_t krr_tau
protected

krr tau

Definition at line 268 of file GUIClassifier.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.

float64_t max_train_time
protected

max train time

Definition at line 236 of file GUIClassifier.h.

float64_t mkl_block_norm
protected

mkl block norm

Definition at line 250 of file GUIClassifier.h.

float64_t mkl_norm
protected

mkl norm

Definition at line 248 of file GUIClassifier.h.

bool mkl_use_interleaved
protected

mkl use interleaved

Definition at line 270 of file GUIClassifier.h.

Parallel* parallel
inherited

parallel

Definition at line 540 of file SGObject.h.

float64_t perceptron_learnrate
protected

perceptron learnrate

Definition at line 238 of file GUIClassifier.h.

int32_t perceptron_maxiter
protected

perceptron maxiter

Definition at line 240 of file GUIClassifier.h.

ESolverType solver_type
protected

solver type

Definition at line 291 of file GUIClassifier.h.

int32_t svm_bufsize
protected

svm bufsize

Definition at line 244 of file GUIClassifier.h.

float64_t svm_C1
protected

svm C1

Definition at line 262 of file GUIClassifier.h.

float64_t svm_C2
protected

svm C2

Definition at line 264 of file GUIClassifier.h.

bool svm_do_auc_maximization
protected

svm do auc maximization

Definition at line 286 of file GUIClassifier.h.

float64_t svm_epsilon
protected

svm epsilon

Definition at line 256 of file GUIClassifier.h.

int32_t svm_max_qpsize
protected

svm max qpsize

Definition at line 246 of file GUIClassifier.h.

float64_t svm_nu
protected

svm nu

Definition at line 260 of file GUIClassifier.h.

int32_t svm_qpsize
protected

svm qpsize

Definition at line 242 of file GUIClassifier.h.

float64_t svm_tube_epsilon
protected

svm tube epsilon

Definition at line 258 of file GUIClassifier.h.

bool svm_use_batch_computation
protected

svm use batch computation

Definition at line 274 of file GUIClassifier.h.

bool svm_use_bias
protected

svm use bias

Definition at line 272 of file GUIClassifier.h.

bool svm_use_linadd
protected

svm use linadd

Definition at line 276 of file GUIClassifier.h.

bool svm_use_precompute
protected

svm use precompute

Definition at line 278 of file GUIClassifier.h.

bool svm_use_precompute_subkernel
protected

svm use precompute subkernel

Definition at line 280 of file GUIClassifier.h.

bool svm_use_precompute_subkernel_light
protected

svm use precompute subkernel light

Definition at line 282 of file GUIClassifier.h.

bool svm_use_shrinking
protected

svm use shrinking

Definition at line 284 of file GUIClassifier.h.

float64_t svm_weight_epsilon
protected

svm weight epsilon

Definition at line 254 of file GUIClassifier.h.

CSGInterface* ui
protected

ui

Definition at line 232 of file GUIClassifier.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