#include <individual.h>

Collaboration diagram for Brush::Pop::Individual< T >:

[legend]

Public Member Functions
	Individual ()

	Individual (Program< T > &prg)

void	init (SearchSpace &ss, const Parameters &params)

Individual< T > &	fit (const Dataset &data)

Individual< T > &	fit (const Ref< const ArrayXXf > &X, const Ref< const ArrayXf > &y)

auto	predict (const Dataset &data)

auto	predict (const Ref< const ArrayXXf > &X)

template<ProgramType P = T> requires ((P == PT::BinaryClassifier) \|\| (P == PT::MulticlassClassifier))
auto	predict_proba (const Dataset &d)

template<ProgramType P = T> requires ((P == PT::BinaryClassifier) \|\| (P == PT::MulticlassClassifier))
auto	predict_proba (const Ref< const ArrayXXf > &X)

unsigned int	get_size () const

unsigned int	get_depth () const

unsigned int	get_complexity () const

unsigned int	get_linear_complexity () const

Program< T > &	get_program ()

string	get_model (string fmt="compact", bool pretty=false)

string	get_dot_model (string extras="")

void	set_fitness (Fitness &f)

Fitness &	get_fitness ()

void	set_variation (string v)

string	get_variation () const

bool	get_is_fitted () const

void	set_is_fitted (bool fitted)

void	set_sampled_nodes (const vector< Node > &nodes)

vector< Node >	get_sampled_nodes () const

void	set_id (unsigned i)

void	set_parents (const vector< Individual< T > > &parents)

void	set_parents (const vector< unsigned > &parents)
	set parent ids using parents

vector< string >	get_objectives () const

void	set_objectives (vector< string > objs)

Public Attributes
Program< T >	program
	executable data structure

bool	is_fitted_ = false

unsigned	id
	tracking id

vector< unsigned >	parent_id
	ids of parents

string	variation = "born"

vector< Node >	sampled_nodes = {}

VectorXf	error
	training error (used in lexicase selectors)

Fitness	fitness
	aggregate fitness score

vector< string >	objectives
	objectives for use with Pareto selection

Static Public Attributes
static std::map< std::string, float >	weightsMap
	set parent ids using id values

Detailed Description

template<ProgramType T>
class Brush::Pop::Individual< T >

Definition at line 15 of file individual.h.

Constructor & Destructor Documentation

◆ Individual() [1/2]

template<ProgramType T>

Brush::Pop::Individual< T >::Individual ( )

inline

Definition at line 42 of file individual.h.

◆ Individual() [2/2]

template<ProgramType T>

Brush::Pop::Individual< T >::Individual ( Program< T > & prg )

inline

Definition at line 48 of file individual.h.

Member Function Documentation

◆ fit() [1/2]

template<ProgramType T>

Individual< T > & Brush::Pop::Individual< T >::fit ( const Dataset & data )

inline

Definition at line 68 of file individual.h.

Here is the caller graph for this function:

◆ fit() [2/2]

template<ProgramType T>

Individual< T > & Brush::Pop::Individual< T >::fit	(	const Ref< const ArrayXXf > &	X,
		const Ref< const ArrayXf > &	y )

inline

Definition at line 73 of file individual.h.

◆ get_complexity()

template<ProgramType T>

unsigned int Brush::Pop::Individual< T >::get_complexity ( ) const

inline

Definition at line 100 of file individual.h.

Here is the caller graph for this function:

◆ get_depth()

template<ProgramType T>

unsigned int Brush::Pop::Individual< T >::get_depth ( ) const

inline

Definition at line 99 of file individual.h.

Here is the caller graph for this function:

◆ get_dot_model()

template<ProgramType T>

string Brush::Pop::Individual< T >::get_dot_model ( string extras = "" )

inline

Definition at line 106 of file individual.h.

◆ get_fitness()

template<ProgramType T>

Fitness & Brush::Pop::Individual< T >::get_fitness ( )

inline

Definition at line 110 of file individual.h.

◆ get_is_fitted()

template<ProgramType T>

bool Brush::Pop::Individual< T >::get_is_fitted ( ) const

inline

Definition at line 115 of file individual.h.

Here is the caller graph for this function:

◆ get_linear_complexity()

template<ProgramType T>

unsigned int Brush::Pop::Individual< T >::get_linear_complexity ( ) const

inline

Definition at line 101 of file individual.h.

Here is the caller graph for this function:

◆ get_model()

template<ProgramType T>

string Brush::Pop::Individual< T >::get_model	(	string	fmt = "compact",
		bool	pretty = false )

inline

Definition at line 104 of file individual.h.

Here is the caller graph for this function:

◆ get_objectives()

template<ProgramType T>

vector< string > Brush::Pop::Individual< T >::get_objectives ( ) const

inline

Definition at line 151 of file individual.h.

Here is the caller graph for this function:

◆ get_program()

template<ProgramType T>

Program< T > & Brush::Pop::Individual< T >::get_program ( )

inline

Definition at line 102 of file individual.h.

◆ get_sampled_nodes()

template<ProgramType T>

vector< Node > Brush::Pop::Individual< T >::get_sampled_nodes ( ) const

inline

Definition at line 119 of file individual.h.

Here is the caller graph for this function:

◆ get_size()

template<ProgramType T>

unsigned int Brush::Pop::Individual< T >::get_size ( ) const

inline

Definition at line 98 of file individual.h.

Here is the caller graph for this function:

◆ get_variation()

template<ProgramType T>

string Brush::Pop::Individual< T >::get_variation ( ) const

inline

Definition at line 113 of file individual.h.

Here is the caller graph for this function:

◆ init()

template<ProgramType T>

void Brush::Pop::Individual< T >::init	(	SearchSpace &	ss,
		const Parameters &	params )

inline

Definition at line 52 of file individual.h.

Here is the caller graph for this function:

◆ predict() [1/2]

template<ProgramType T>

auto Brush::Pop::Individual< T >::predict ( const Dataset & data )

inline

Definition at line 79 of file individual.h.

Here is the caller graph for this function:

◆ predict() [2/2]

template<ProgramType T>

auto Brush::Pop::Individual< T >::predict ( const Ref< const ArrayXXf > & X )

inline

Definition at line 80 of file individual.h.

◆ predict_proba() [1/2]

template<ProgramType T>

template<ProgramType P = T>
requires ((P == PT::BinaryClassifier) || (P == PT::MulticlassClassifier))

auto Brush::Pop::Individual< T >::predict_proba ( const Dataset & d )

inline

Definition at line 88 of file individual.h.

Here is the caller graph for this function:

◆ predict_proba() [2/2]

template<ProgramType T>

template<ProgramType P = T>
requires ((P == PT::BinaryClassifier) || (P == PT::MulticlassClassifier))

auto Brush::Pop::Individual< T >::predict_proba ( const Ref< const ArrayXXf > & X )

inline

Definition at line 91 of file individual.h.

◆ set_fitness()

template<ProgramType T>

void Brush::Pop::Individual< T >::set_fitness ( Fitness & f )

inline

Definition at line 109 of file individual.h.

◆ set_id()

template<ProgramType T>

void Brush::Pop::Individual< T >::set_id ( unsigned i )

inline

Definition at line 121 of file individual.h.

Here is the caller graph for this function:

◆ set_is_fitted()

template<ProgramType T>

void Brush::Pop::Individual< T >::set_is_fitted ( bool fitted )

inline

Definition at line 116 of file individual.h.

◆ set_objectives()

template<ProgramType T>

void Brush::Pop::Individual< T >::set_objectives ( vector< string > objs )

inline

Definition at line 152 of file individual.h.

Here is the caller graph for this function:

◆ set_parents() [1/2]

template<ProgramType T>

void Brush::Pop::Individual< T >::set_parents ( const vector< Individual< T > > & parents )

inline

Definition at line 122 of file individual.h.

Here is the caller graph for this function:

◆ set_parents() [2/2]

template<ProgramType T>

void Brush::Pop::Individual< T >::set_parents ( const vector< unsigned > & parents )

inline

set parent ids using parents

Definition at line 127 of file individual.h.

◆ set_sampled_nodes()

template<ProgramType T>

void Brush::Pop::Individual< T >::set_sampled_nodes ( const vector< Node > & nodes )

inline

Definition at line 118 of file individual.h.

Here is the caller graph for this function:

◆ set_variation()

template<ProgramType T>

void Brush::Pop::Individual< T >::set_variation ( string v )

inline

Definition at line 112 of file individual.h.

Here is the caller graph for this function:

Member Data Documentation

◆ error

template<ProgramType T>

VectorXf Brush::Pop::Individual< T >::error

training error (used in lexicase selectors)

Definition at line 35 of file individual.h.

◆ fitness

template<ProgramType T>

Fitness Brush::Pop::Individual< T >::fitness

aggregate fitness score

Definition at line 37 of file individual.h.

◆ id

template<ProgramType T>

unsigned Brush::Pop::Individual< T >::id

tracking id

Definition at line 28 of file individual.h.

◆ is_fitted_

template<ProgramType T>

bool Brush::Pop::Individual< T >::is_fitted_ = false

Definition at line 24 of file individual.h.

◆ objectives

template<ProgramType T>

vector<string> Brush::Pop::Individual< T >::objectives

objectives for use with Pareto selection

Definition at line 39 of file individual.h.

◆ parent_id

template<ProgramType T>

vector<unsigned> Brush::Pop::Individual< T >::parent_id

ids of parents

Definition at line 29 of file individual.h.

◆ program

template<ProgramType T>

Program<T> Brush::Pop::Individual< T >::program

executable data structure

Definition at line 17 of file individual.h.

◆ sampled_nodes

template<ProgramType T>

vector<Node> Brush::Pop::Individual< T >::sampled_nodes = {}

Definition at line 33 of file individual.h.

◆ variation

template<ProgramType T>

string Brush::Pop::Individual< T >::variation = "born"

Definition at line 32 of file individual.h.

◆ weightsMap

template<ProgramType T>

std::map<std::string, float> Brush::Pop::Individual< T >::weightsMap

inlinestatic

Initial value:

= {
        {"complexity",              -1.0},
        {"linear_complexity",       -1.0},
        {"size",                    -1.0},
        {"mse",                     -1.0},
        {"log",                     -1.0},
        {"multi_log",               -1.0},
        {"average_precision_score", +1.0},
        {"balanced_accuracy",       +1.0},
        {"accuracy",                +1.0}
        
    }

set parent ids using id values

Definition at line 138 of file individual.h.

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

individual.h

Public Member Functions

Public Attributes

Static Public Attributes

Detailed Description

Constructor & Destructor Documentation

◆ Individual() [1/2]

◆ Individual() [2/2]

Member Function Documentation

◆ fit() [1/2]

◆ fit() [2/2]

◆ get_complexity()

◆ get_depth()

◆ get_dot_model()

◆ get_fitness()

◆ get_is_fitted()

◆ get_linear_complexity()

◆ get_model()

◆ get_objectives()

◆ get_program()

◆ get_sampled_nodes()

◆ get_size()

◆ get_variation()

◆ init()

◆ predict() [1/2]

◆ predict() [2/2]

◆ predict_proba() [1/2]

◆ predict_proba() [2/2]

◆ set_fitness()

◆ set_id()

◆ set_is_fitted()

◆ set_objectives()

◆ set_parents() [1/2]

◆ set_parents() [2/2]

◆ set_sampled_nodes()

◆ set_variation()

Member Data Documentation

◆ error

◆ fitness

◆ id

◆ is_fitted_

◆ objectives

◆ parent_id

◆ program

◆ sampled_nodes

◆ variation

◆ weightsMap