Public Member Functions | Public Attributes | Protected Member Functions | Protected Attributes

CMultitaskKernelPlifNormalizer Class Reference


Detailed Description

The MultitaskKernel allows learning a piece-wise linear function (PLIF) via MKL.

Definition at line 25 of file MultitaskKernelPlifNormalizer.h.

Inheritance diagram for CMultitaskKernelPlifNormalizer:
Inheritance graph
[legend]

List of all members.

Public Member Functions

 CMultitaskKernelPlifNormalizer ()
 CMultitaskKernelPlifNormalizer (std::vector< float64_t > support_, std::vector< int32_t > task_vector)
virtual float64_t normalize (float64_t value, int32_t idx_lhs, int32_t idx_rhs)
int32_t get_num_unique_tasks (std::vector< int32_t > vec)
virtual ~CMultitaskKernelPlifNormalizer ()
void update_cache ()
float64_t compute_task_similarity (int32_t task_a, int32_t task_b)
virtual std::vector< int32_t > get_task_vector_lhs () const
virtual void set_task_vector_lhs (std::vector< int32_t > vec)
virtual std::vector< int32_t > get_task_vector_rhs () const
virtual void set_task_vector_rhs (std::vector< int32_t > vec)
virtual void set_task_vector (std::vector< int32_t > vec)
float64_t get_task_distance (int32_t task_lhs, int32_t task_rhs)
void set_task_distance (int32_t task_lhs, int32_t task_rhs, float64_t distance)
float64_t get_task_similarity (int32_t task_lhs, int32_t task_rhs)
void set_task_similarity (int32_t task_lhs, int32_t task_rhs, float64_t similarity)
float64_t get_beta (int32_t idx)
void set_beta (int32_t idx, float64_t weight)
int32_t get_num_betas ()
virtual const char * get_name () const
CMultitaskKernelPlifNormalizerKernelNormalizerToMultitaskKernelPlifNormalizer (CKernelNormalizer *n)
virtual bool init (CKernel *k)
virtual float64_t normalize_lhs (float64_t value, int32_t idx_lhs)
virtual float64_t normalize_rhs (float64_t value, int32_t idx_rhs)
ENormalizerType get_normalizer_type ()
void set_normalizer_type (ENormalizerType type)
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_PARAMETER)
virtual bool load_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=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_parameter_dictionary (CMap< TParameter *, CSGObject * > &dict)

Public Attributes

SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_model_selection_parameters
ParameterMapm_parameter_map
uint32_t m_hash

Protected Member Functions

virtual void register_params ()
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)
virtual bool update_parameter_hash ()

Protected Attributes

int32_t num_tasks
int32_t num_tasksqr
std::vector< int32_t > task_vector_lhs
std::vector< int32_t > task_vector_rhs
std::vector< float64_tdistance_matrix
std::vector< float64_tsimilarity_matrix
int32_t num_betas
std::vector< float64_tbetas
std::vector< float64_tsupport
float64_t scale
ENormalizerType m_type

Constructor & Destructor Documentation

default constructor

Definition at line 30 of file MultitaskKernelPlifNormalizer.h.

CMultitaskKernelPlifNormalizer ( std::vector< float64_t support_,
std::vector< int32_t >  task_vector 
)

constructor

Definition at line 39 of file MultitaskKernelPlifNormalizer.h.

virtual ~CMultitaskKernelPlifNormalizer (  )  [virtual]

default destructor

Definition at line 116 of file MultitaskKernelPlifNormalizer.h.


Member Function Documentation

void build_parameter_dictionary ( CMap< TParameter *, CSGObject * > &  dict  )  [inherited]

Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.

Parameters:
dict dictionary of parameters to be built.

Definition at line 1201 of file SGObject.cpp.

float64_t compute_task_similarity ( int32_t  task_a,
int32_t  task_b 
)

derive similarity from distance with plif

Definition at line 141 of file MultitaskKernelPlifNormalizer.h.

virtual CSGObject* deep_copy (  )  const [virtual, inherited]

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

Definition at line 131 of file SGObject.h.

float64_t get_beta ( int32_t  idx  )  [virtual]
Parameters:
idx index of MKL weight to get

Implements CMultitaskKernelMklNormalizer.

Definition at line 281 of file MultitaskKernelPlifNormalizer.h.

SGIO * get_global_io (  )  [inherited]

get the io object

Returns:
io object

Definition at line 224 of file SGObject.cpp.

Parallel * get_global_parallel (  )  [inherited]

get the parallel object

Returns:
parallel object

Definition at line 259 of file SGObject.cpp.

Version * get_global_version (  )  [inherited]

get the version object

Returns:
version object

Definition at line 272 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 1108 of file SGObject.cpp.

char * get_modsel_param_descr ( const char *  param_name  )  [inherited]

Returns description of a given parameter string, if it exists. SG_ERROR otherwise

Parameters:
param_name name of the parameter
Returns:
description of the parameter

Definition at line 1132 of file SGObject.cpp.

index_t get_modsel_param_index ( const char *  param_name  )  [inherited]

Returns index of model selection parameter with provided index

Parameters:
param_name name of model selection parameter
Returns:
index of model selection parameter with provided name, -1 if there is no such

Definition at line 1145 of file SGObject.cpp.

virtual const char* get_name (  )  const [virtual]
Returns:
object name

Reimplemented from CMultitaskKernelMklNormalizer.

Definition at line 313 of file MultitaskKernelPlifNormalizer.h.

ENormalizerType get_normalizer_type (  )  [inherited]

getter for normalizer type

Definition at line 100 of file KernelNormalizer.h.

int32_t get_num_betas (  )  [virtual]
Returns:
number of kernel weights (support points)

Implements CMultitaskKernelMklNormalizer.

Definition at line 304 of file MultitaskKernelPlifNormalizer.h.

int32_t get_num_unique_tasks ( std::vector< int32_t >  vec  ) 

helper routine

Parameters:
vec vector with containing task_id for each example
Returns:
number of unique task ids

Definition at line 99 of file MultitaskKernelPlifNormalizer.h.

float64_t get_task_distance ( int32_t  task_lhs,
int32_t  task_rhs 
)
Parameters:
task_lhs task_id on left hand side
task_rhs task_id on right hand side
Returns:
distance between tasks

Definition at line 221 of file MultitaskKernelPlifNormalizer.h.

float64_t get_task_similarity ( int32_t  task_lhs,
int32_t  task_rhs 
)
Parameters:
task_lhs task_id on left hand side
task_rhs task_id on right hand side
Returns:
similarity between tasks

Definition at line 252 of file MultitaskKernelPlifNormalizer.h.

virtual std::vector<int32_t> get_task_vector_lhs (  )  const [virtual]
Returns:
vec task vector with containing task_id for each example on left hand side

Definition at line 186 of file MultitaskKernelPlifNormalizer.h.

virtual std::vector<int32_t> get_task_vector_rhs (  )  const [virtual]
Returns:
vec task vector with containing task_id for each example on right hand side

Definition at line 198 of file MultitaskKernelPlifNormalizer.h.

virtual bool init ( CKernel k  )  [virtual, inherited]

initialization of the normalizer

Parameters:
k kernel

Implements CKernelNormalizer.

Definition at line 41 of file MultitaskKernelMklNormalizer.h.

bool is_generic ( EPrimitiveType *  generic  )  const [virtual, inherited]

If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.

Parameters:
generic set to the type of the generic if returning TRUE
Returns:
TRUE if a class template.

Definition at line 278 of file SGObject.cpp.

CMultitaskKernelPlifNormalizer* KernelNormalizerToMultitaskKernelPlifNormalizer ( CKernelNormalizer n  ) 

casts kernel normalizer to multitask kernel plif normalizer

Parameters:
n kernel normalizer to cast

Definition at line 321 of file MultitaskKernelPlifNormalizer.h.

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

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

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

Definition at line 679 of file SGObject.cpp.

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

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

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

Definition at line 523 of file SGObject.cpp.

bool load_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = VERSION_PARAMETER 
) [virtual, inherited]

Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!

Parameters:
file where to load from
prefix prefix for members
param_version (optional) a parameter version different to (this is mainly for testing, better do not use)
Returns:
TRUE if done, otherwise FALSE

Reimplemented in CModelSelectionParameters.

Definition at line 354 of file SGObject.cpp.

void load_serializable_post (  )  throw (ShogunException) [protected, virtual, inherited]

Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.

Exceptions:
ShogunException Will be thrown if an error occurres.

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

Definition at line 1033 of file SGObject.cpp.

void load_serializable_pre (  )  throw (ShogunException) [protected, virtual, inherited]

Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.

Exceptions:
ShogunException Will be thrown if an error occurres.

Definition at line 1028 of file SGObject.cpp.

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

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

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

Definition at line 717 of file SGObject.cpp.

TParameter * migrate ( DynArray< TParameter * > *  param_base,
const SGParamInfo target 
) [protected, virtual, inherited]

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

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

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

Definition at line 923 of file SGObject.cpp.

virtual float64_t normalize ( float64_t  value,
int32_t  idx_lhs,
int32_t  idx_rhs 
) [virtual]

normalize the kernel value

Parameters:
value kernel value
idx_lhs index of left hand side vector
idx_rhs index of right hand side vector

Implements CKernelNormalizer.

Definition at line 74 of file MultitaskKernelPlifNormalizer.h.

virtual float64_t normalize_lhs ( float64_t  value,
int32_t  idx_lhs 
) [virtual, inherited]

normalize only the left hand side vector

Parameters:
value value of a component of the left hand side feature vector
idx_lhs index of left hand side vector

Implements CKernelNormalizer.

Reimplemented in CMultitaskKernelTreeNormalizer.

Definition at line 78 of file MultitaskKernelMklNormalizer.h.

virtual float64_t normalize_rhs ( float64_t  value,
int32_t  idx_rhs 
) [virtual, inherited]

normalize only the right hand side vector

Parameters:
value value of a component of the right hand side feature vector
idx_rhs index of right hand side vector

Implements CKernelNormalizer.

Reimplemented in CMultitaskKernelTreeNormalizer.

Definition at line 88 of file MultitaskKernelMklNormalizer.h.

void one_to_one_migration_prepare ( DynArray< TParameter * > *  param_base,
const SGParamInfo target,
TParameter *&  replacement,
TParameter *&  to_migrate,
char *  old_name = NULL 
) [protected, virtual, inherited]

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

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

Definition at line 864 of file SGObject.cpp.

void print_modsel_params (  )  [inherited]

prints all parameter registered for model selection and their type

Definition at line 1084 of file SGObject.cpp.

void print_serializable ( const char *  prefix = ""  )  [virtual, inherited]

prints registered parameters out

Parameters:
prefix prefix for members

Definition at line 290 of file SGObject.cpp.

virtual void register_params (  )  [protected, virtual]

register the parameters

Reimplemented from CKernelNormalizer.

Definition at line 329 of file MultitaskKernelPlifNormalizer.h.

bool save_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = VERSION_PARAMETER 
) [virtual, inherited]

Save this object to file.

Parameters:
file where to save the object; will be closed during returning if PREFIX is an empty string.
prefix prefix for members
param_version (optional) a parameter version different to (this is mainly for testing, better do not use)
Returns:
TRUE if done, otherwise FALSE

Reimplemented in CModelSelectionParameters.

Definition at line 296 of file SGObject.cpp.

void save_serializable_post (  )  throw (ShogunException) [protected, virtual, inherited]

Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.

Exceptions:
ShogunException Will be thrown if an error occurres.

Reimplemented in CKernel.

Definition at line 1043 of file SGObject.cpp.

void save_serializable_pre (  )  throw (ShogunException) [protected, virtual, inherited]

Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.

Exceptions:
ShogunException Will be thrown if an error occurres.

Reimplemented in CKernel.

Definition at line 1038 of file SGObject.cpp.

void set_beta ( int32_t  idx,
float64_t  weight 
) [virtual]
Parameters:
idx index of MKL weight to set
weight MKL weight to set

Implements CMultitaskKernelMklNormalizer.

Definition at line 292 of file MultitaskKernelPlifNormalizer.h.

void set_generic< floatmax_t > (  )  [inherited]

set generic type to T

void set_global_io ( SGIO io  )  [inherited]

set the io object

Parameters:
io io object to use

Definition at line 217 of file SGObject.cpp.

void set_global_parallel ( Parallel parallel  )  [inherited]

set the parallel object

Parameters:
parallel parallel object to use

Definition at line 230 of file SGObject.cpp.

void set_global_version ( Version version  )  [inherited]

set the version object

Parameters:
version version object to use

Definition at line 265 of file SGObject.cpp.

void set_normalizer_type ( ENormalizerType  type  )  [inherited]

setter for normalizer type

Parameters:
type type of normalizer

Definition at line 108 of file KernelNormalizer.h.

void set_task_distance ( int32_t  task_lhs,
int32_t  task_rhs,
float64_t  distance 
)
Parameters:
task_lhs task_id on left hand side
task_rhs task_id on right hand side
distance distance between tasks

Definition at line 236 of file MultitaskKernelPlifNormalizer.h.

void set_task_similarity ( int32_t  task_lhs,
int32_t  task_rhs,
float64_t  similarity 
)
Parameters:
task_lhs task_id on left hand side
task_rhs task_id on right hand side
similarity similarity between tasks

Definition at line 267 of file MultitaskKernelPlifNormalizer.h.

virtual void set_task_vector ( std::vector< int32_t >  vec  )  [virtual]
Parameters:
vec task vector with containing task_id for each example

Definition at line 210 of file MultitaskKernelPlifNormalizer.h.

virtual void set_task_vector_lhs ( std::vector< int32_t >  vec  )  [virtual]
Parameters:
vec task vector with containing task_id for each example

Definition at line 192 of file MultitaskKernelPlifNormalizer.h.

virtual void set_task_vector_rhs ( std::vector< int32_t >  vec  )  [virtual]
Parameters:
vec task vector with containing task_id for each example

Definition at line 204 of file MultitaskKernelPlifNormalizer.h.

virtual CSGObject* shallow_copy (  )  const [virtual, inherited]

A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.

Reimplemented in CGaussianKernel.

Definition at line 122 of file SGObject.h.

void unset_generic (  )  [inherited]

unset generic type

this has to be called in classes specializing a template class

Definition at line 285 of file SGObject.cpp.

void update_cache (  ) 

update cache

Definition at line 122 of file MultitaskKernelPlifNormalizer.h.

bool update_parameter_hash (  )  [protected, virtual, inherited]

Updates the hash of current parameter combination.

Returns:
bool if parameter combination has changed since last update.

Definition at line 237 of file SGObject.cpp.


Member Data Documentation

std::vector<float64_t> betas [protected]

weights

Definition at line 360 of file MultitaskKernelPlifNormalizer.h.

std::vector<float64_t> distance_matrix [protected]

MxM matrix encoding distance between tasks

Definition at line 351 of file MultitaskKernelPlifNormalizer.h.

SGIO* io [inherited]

io

Definition at line 462 of file SGObject.h.

uint32_t m_hash [inherited]

Hash of parameter values

Definition at line 480 of file SGObject.h.

model selection parameters

Definition at line 474 of file SGObject.h.

map for different parameter versions

Definition at line 477 of file SGObject.h.

Parameter* m_parameters [inherited]

parameters

Definition at line 471 of file SGObject.h.

ENormalizerType m_type [protected, inherited]

normalizer type

Definition at line 115 of file KernelNormalizer.h.

int32_t num_betas [protected]

number of weights

Definition at line 357 of file MultitaskKernelPlifNormalizer.h.

int32_t num_tasks [protected]

number of tasks

Definition at line 340 of file MultitaskKernelPlifNormalizer.h.

int32_t num_tasksqr [protected]

square of num_tasks -- for registration purpose

Definition at line 342 of file MultitaskKernelPlifNormalizer.h.

Parallel* parallel [inherited]

parallel

Definition at line 465 of file SGObject.h.

float64_t scale [protected, inherited]

scale constant obtained from k(0,0)

Definition at line 125 of file MultitaskKernelMklNormalizer.h.

std::vector<float64_t> similarity_matrix [protected]

MxM matrix encoding similarity between tasks

Definition at line 354 of file MultitaskKernelPlifNormalizer.h.

std::vector<float64_t> support [protected]

support points

Definition at line 363 of file MultitaskKernelPlifNormalizer.h.

std::vector<int32_t> task_vector_lhs [protected]

task vector indicating to which task each example on the left hand side belongs

Definition at line 345 of file MultitaskKernelPlifNormalizer.h.

std::vector<int32_t> task_vector_rhs [protected]

task vector indicating to which task each example on the right hand side belongs

Definition at line 348 of file MultitaskKernelPlifNormalizer.h.

Version* version [inherited]

version

Definition at line 468 of file SGObject.h.


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