AdaBoost_ECOC Class Reference

AdaBoost.ECC with exponential cost and Hamming distance. More...

#include <adaboost_ecoc.h>

Inheritance diagram for AdaBoost_ECOC:

[legend]Collaboration diagram for AdaBoost_ECOC:


Public Types
enum	PARTITION_METHOD { RANDOM_HALF, MAX_CUT, MAX_CUT_GREEDY, RANDOM_2, MAX_2 }
Public Member Functions
	AdaBoost_ECOC ()
	AdaBoost_ECOC (const MultiClass_ECOC &s)
	AdaBoost_ECOC (std::istream &is)
virtual const id_t &	id () const
virtual AdaBoost_ECOC *	create () const
	Create a new object using the default constructor.
virtual AdaBoost_ECOC *	clone () const
	Create a new object by replicating itself.
void	set_partition_method (PARTITION_METHOD m)
Protected Member Functions
pDataWgt	smpwgt_with_partition (const ECOC_VECTOR &) const
pLearnModel	train_with_full_partition (const ECOC_VECTOR &) const
virtual void	setup_aux ()
	Prepare auxiliary variables for current n_in_agg.
virtual bool	ECOC_partition (UINT, ECOC_VECTOR &) const
virtual pLearnModel	train_with_partition (ECOC_VECTOR &) const
virtual REAL	assign_weight (const ECOC_VECTOR &, const LearnModel &) const
virtual void	update_aux (const ECOC_VECTOR &)
	Update those auxiliary variables after this round of learning.
std::vector< std::vector< REAL > >	confusion_matrix () const
ECOC_VECTOR	max_cut (UINT) const
	test all combinations to find out the max-cut
ECOC_VECTOR	max_cut_greedy (UINT) const
	nr (or nr+1) is the maximal # of classes that can be "colored"
ECOC_VECTOR	random_half (UINT) const
Protected Attributes
PARTITION_METHOD	par_method
JointWgt	joint_wgt
std::vector< bool >	cur_err
pDataWgt	cur_smpwgt
	set up by train_with_partition(); used by assign_weight().

Detailed Description

AdaBoost.ECC with exponential cost and Hamming distance.

Definition at line 21 of file adaboost_ecoc.h.

Member Enumeration Documentation

enum PARTITION_METHOD

Enumerator:

RANDOM_HALF

MAX_CUT

MAX_CUT_GREEDY

RANDOM_2

MAX_2

Definition at line 23 of file adaboost_ecoc.h.

Constructor & Destructor Documentation

AdaBoost_ECOC ( ) [inline]

Definition at line 34 of file adaboost_ecoc.h.
Referenced by AdaBoost_ECOC::clone(), and AdaBoost_ECOC::create().

AdaBoost_ECOC ( const MultiClass_ECOC & s ) [inline]

Definition at line 35 of file adaboost_ecoc.h.

AdaBoost_ECOC ( std::istream & is ) [inline, explicit]

Definition at line 37 of file adaboost_ecoc.h.

Member Function Documentation

REAL assign_weight ( const ECOC_VECTOR & ,

const LearnModel &

) const [protected, virtual]

Reimplemented from MultiClass_ECOC.
Definition at line 219 of file adaboost_ecoc.cpp.
References AdaBoost_ECOC::cur_err, and AdaBoost_ECOC::cur_smpwgt.

virtual AdaBoost_ECOC* clone ( ) const [inline, virtual]

Create a new object by replicating itself.

Returns:
A pointer to the new copy.
The code for a derived class Derived is always
return new Derived(*this);
Though seemingly redundant, it helps to copy an object without knowing the real type of the object.
See also:
C++ FAQ Lite 20.6

Reimplemented from MultiClass_ECOC.
Reimplemented in AdaBoost_ERP.
Definition at line 41 of file adaboost_ecoc.h.
References AdaBoost_ECOC::AdaBoost_ECOC().

WMAT confusion_matrix ( ) const [protected]

Definition at line 59 of file adaboost_ecoc.cpp.
References MultiClass_ECOC::ex_class, AdaBoost_ECOC::joint_wgt, LearnModel::n_samples, and MultiClass_ECOC::nclass.
Referenced by AdaBoost_ECOC::max_cut(), and AdaBoost_ECOC::max_cut_greedy().

virtual AdaBoost_ECOC* create ( ) const [inline, virtual]

Create a new object using the default constructor.
The code for a derived class Derived is always
return new Derived();

Reimplemented from MultiClass_ECOC.
Reimplemented in AdaBoost_ERP.
Definition at line 40 of file adaboost_ecoc.h.
References AdaBoost_ECOC::AdaBoost_ECOC().

bool ECOC_partition ( UINT ,

ECOC_VECTOR &

) const [protected, virtual]

Reimplemented from MultiClass_ECOC.
Reimplemented in AdaBoost_ERP.
Definition at line 151 of file adaboost_ecoc.cpp.
References MultiClass_ECOC::ECOC_partition(), AdaBoost_ECOC::max_cut(), AdaBoost_ECOC::MAX_CUT, AdaBoost_ECOC::max_cut_greedy(), AdaBoost_ECOC::MAX_CUT_GREEDY, MultiClass_ECOC::n_class(), AdaBoost_ECOC::par_method, AdaBoost_ECOC::random_half(), and AdaBoost_ECOC::RANDOM_HALF.
Referenced by AdaBoost_ERP::ECOC_partition().

virtual const id_t& id ( ) const [virtual]

Returns:
Class ID string (class name)

Reimplemented from MultiClass_ECOC.
Reimplemented in AdaBoost_ERP.

ECOC_VECTOR max_cut ( UINT ) const [protected]

test all combinations to find out the max-cut

Definition at line 73 of file adaboost_ecoc.cpp.
References AdaBoost_ECOC::confusion_matrix(), and gray_next().
Referenced by AdaBoost_ECOC::ECOC_partition().

ECOC_VECTOR max_cut_greedy ( UINT ) const [protected]

nr (or nr+1) is the maximal # of classes that can be "colored"

Definition at line 101 of file adaboost_ecoc.cpp.
References AdaBoost_ECOC::confusion_matrix().
Referenced by AdaBoost_ERP::ECOC_partition(), and AdaBoost_ECOC::ECOC_partition().

ECOC_VECTOR random_half ( UINT ) const [protected]

Definition at line 135 of file adaboost_ecoc.cpp.
Referenced by AdaBoost_ERP::ECOC_partition(), and AdaBoost_ECOC::ECOC_partition().

void set_partition_method ( PARTITION_METHOD m ) [inline]

Definition at line 44 of file adaboost_ecoc.h.
References AdaBoost_ECOC::par_method.

void setup_aux ( ) [protected, virtual]

Prepare auxiliary variables for current n_in_agg.

Reimplemented from MultiClass_ECOC.
Definition at line 18 of file adaboost_ecoc.cpp.
References AdaBoost_ECOC::cur_err, MultiClass_ECOC::distances(), MultiClass_ECOC::ex_class, AdaBoost_ECOC::joint_wgt, MultiClass_ECOC::n_class(), Aggregating::n_in_agg, LearnModel::n_samples, MultiClass_ECOC::nclass, and LearnModel::ptw.

pDataWgt smpwgt_with_partition ( const ECOC_VECTOR & ) const [protected]

Definition at line 175 of file adaboost_ecoc.cpp.
References MultiClass_ECOC::ex_class, MultiClass_ECOC::is_full_partition(), AdaBoost_ECOC::joint_wgt, MultiClass_ECOC::n_class(), and LearnModel::n_samples.
Referenced by AdaBoost_ECOC::train_with_full_partition().

pLearnModel train_with_full_partition ( const ECOC_VECTOR & ) const [protected]

Definition at line 194 of file adaboost_ecoc.cpp.
References dataset::append(), AdaBoost_ECOC::cur_smpwgt, MultiClass_ECOC::ex_class, Aggregating::lm_base, LearnModel::ptd, LearnModel::set_train_data(), AdaBoost_ECOC::smpwgt_with_partition(), and LearnModel::train().
Referenced by AdaBoost_ERP::train_with_partition(), and AdaBoost_ECOC::train_with_partition().

pLearnModel train_with_partition ( ECOC_VECTOR & ) const [protected, virtual]

Reimplemented from MultiClass_ECOC.
Reimplemented in AdaBoost_ERP.
Definition at line 208 of file adaboost_ecoc.cpp.
References AdaBoost_ECOC::cur_err, MultiClass_ECOC::ex_class, MultiClass_ECOC::is_full_partition(), LearnModel::ptd, LearnModel::ptw, and AdaBoost_ECOC::train_with_full_partition().

void update_aux ( const ECOC_VECTOR & p ) [protected, virtual]

Update those auxiliary variables after this round of learning.

Reimplemented from MultiClass_ECOC.
Definition at line 236 of file adaboost_ecoc.cpp.
References AdaBoost_ECOC::cur_err, MultiClass_ECOC::ex_class, MultiClass_ECOC::is_full_partition(), AdaBoost_ECOC::joint_wgt, MultiClass_ECOC::lm_wgt, and Aggregating::n_in_agg.

Member Data Documentation

std::vector<bool> cur_err [mutable, protected]

set up by train_with_partition(); used by assign_weight() and update_aux().
Definition at line 52 of file adaboost_ecoc.h.
Referenced by AdaBoost_ECOC::assign_weight(), AdaBoost_ECOC::setup_aux(), AdaBoost_ERP::train_with_partition(), AdaBoost_ECOC::train_with_partition(), and AdaBoost_ECOC::update_aux().

pDataWgt cur_smpwgt [mutable, protected]

set up by train_with_partition(); used by assign_weight().

Definition at line 54 of file adaboost_ecoc.h.
Referenced by AdaBoost_ECOC::assign_weight(), and AdaBoost_ECOC::train_with_full_partition().

JointWgt joint_wgt [protected]

set up by setup_aux(); updated by update_aux(); used by a lot of functions here.
Definition at line 49 of file adaboost_ecoc.h.
Referenced by AdaBoost_ECOC::confusion_matrix(), AdaBoost_ECOC::setup_aux(), AdaBoost_ECOC::smpwgt_with_partition(), AdaBoost_ERP::train_with_partial_partition(), AdaBoost_ERP::train_with_partition(), and AdaBoost_ECOC::update_aux().

PARTITION_METHOD par_method [protected]

Definition at line 31 of file adaboost_ecoc.h.
Referenced by AdaBoost_ERP::ECOC_partition(), AdaBoost_ECOC::ECOC_partition(), and AdaBoost_ECOC::set_partition_method().

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

Generated on Wed Nov 8 08:16:35 2006 for LEMGA by

1.4.6

AdaBoost_ECOC Class Reference

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation