Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123456]

Cvita::analyzer< T >	Analyzer takes a statistics snapshot of a population
Cvita::analyzer< i_mep >
Cvita::population< T >::base_iterator< bool >
Cvita::basic_fitness_t< T >	A value assigned to an individual which reflects how well the individual solves the task
Cvita::basic_fitness_t< double >
Cvita::basic_gene< K >	A gene is a unit of heredity in a living organism
Cvita::i_mep::basic_iterator< bool >
►Cvita::basic_lambda_f	The basic interface of a lambda function
►Cvita::basic_src_lambda_f	Extends basic_lambda_f interface adding some useful methods for symbolic regression / classification and serialization
►Cvita::core_class_lambda_f	The model_metric class choose the appropriate method considering this type
►Cvita::basic_class_lambda_f< N >	The basic interface of a classification lambda class
Cvita::basic_binary_lambda_f< T, S, false >
Cvita::basic_dyn_slot_lambda_f< T, S, false >
Cvita::basic_gaussian_lambda_f< T, S, false >
►Cvita::team_class_lambda_f< T, S, N, basic_binary_lambda_f >
Cvita::basic_binary_lambda_f< team< T >, S, N >	Binary Classification specialization for teams
►Cvita::team_class_lambda_f< T, S, N, basic_dyn_slot_lambda_f >
Cvita::basic_dyn_slot_lambda_f< team< T >, S, N >	Slotted Dynamic Class Boundary Determination specialization for teams
►Cvita::team_class_lambda_f< T, S, N, basic_gaussian_lambda_f >
Cvita::basic_gaussian_lambda_f< team< T >, S, N >	Gaussian Distribution Classification specialization for teams
Cvita::basic_binary_lambda_f< T, S, N >	Lambda class for Binary Classification
Cvita::basic_dyn_slot_lambda_f< T, S, N >	Lambda class for Slotted Dynamic Class Boundary Determination
Cvita::basic_gaussian_lambda_f< T, S, N >	Lambda class for the Gaussian Distribution Classification
Cvita::team_class_lambda_f< T, S, N, L, C >	An helper class for extending classification schemes to teams
►Cvita::core_reg_lambda_f	The model_metric class choose the appropriate method considering this type
Cvita::basic_reg_lambda_f< T, false >
Cvita::basic_reg_lambda_f< T, S >	Lambda function specialized for regression tasks
Cvita::cache	Implements a hash table that links individuals' signature to fitness (mainly used by the evaluator_proxy class)
►Cvita::cached_evaluator
Cvita::evaluator< i_mep >
►Cvita::evaluator< T >	Calculates the fitness of an individual
►Cvita::src_evaluator< T, dataframe >
►Cvita::sum_of_errors_evaluator< T, count_error_functor< T > >
Cvita::count_evaluator< T, ERRF >	Evaluator based on the number of matches
►Cvita::sum_of_errors_evaluator< T, mae_error_functor< T > >
Cvita::mae_evaluator< T, ERRF >	Evaluator based on the mean absolute error
►Cvita::sum_of_errors_evaluator< T, mse_error_functor< T > >
Cvita::mse_evaluator< T, ERRF >	Evaluator based on the mean squared error
►Cvita::sum_of_errors_evaluator< T, rmae_error_functor< T > >
Cvita::rmae_evaluator< T, ERRF >	Evaluator based on the mean of relative differences
Cvita::sum_of_errors_evaluator< T, ERRF, DAT >	An evaluator to minimize the sum of some sort of error
Cvita::constrained_evaluator< T, E, P >	The class merges a basic evaluator and a penalty function into a new combined evaluator
Cvita::evaluator_proxy< T, E >	Provides a surrogate for an evaluator to control access to it
Cvita::ga_evaluator< T, F >	Calculates the fitness of an individual
►Cvita::src_evaluator< T, DAT >	An evaluator specialized for symbolic regression / classification problems
►Cvita::classification_evaluator< T >	This class is used to factorized out some code of the classification evaluators
Cvita::binary_evaluator< T >	Single class evaluator for classification problems
Cvita::dyn_slot_evaluator< T >	Slotted Dynamic Class Boundary Determination
Cvita::gaussian_evaluator< T >	Gaussian distribution for multiclass object classification
Cvita::test_evaluator< T >	A fitness function used for debug purpose
Cvita::category_info
Cvita::category_set	Information about the set of categories used in a specific problem
►Cdetail::class_names
Cvita::basic_class_lambda_f< N >	The basic interface of a classification lambda class
Cvita::classification_result	Contains a class ID / confidence level pair
Cvita::dataframe::columns_info::column_info	Information about a single column of the dataset
Cvita::dataframe::columns_info	Information about the collection of columns (type, name, output index)
Cvita::count_error_functor< T >	Number of matches functor
Cvita::dataframe	A 2-dimensional labeled data structure with columns of potentially different types
Cvita::environment::de_parameters
Cvita::src_problem::default_symbols_t
Cvita::distribution< T >	Simplifies the calculation of statistics regarding a sequence (mean, variance, standard deviation, entropy, min and max)
Cvita::distribution< double >
Cvita::distribution< number >
Cvita::distribution< vita::basic_fitness_t >
Cvita::environment	Context object aggregating multiple related parameters into one structure
Cvita::evolution< T, ES >	Progressively evolves a population of programs over a series of generations
Cvita::evolution< i_mep, std_es >
Cvita::evolution< T, vita::std_es >
Cvita::evolution_strategy< T, SS, CS, RS >	Defines the skeleton of the evolution, deferring some steps to client subclasses
►Cvita::evolution_strategy< i_mep, selection::tournament, recombination::base, replacement::tournament >
Cvita::std_es< i_mep >
►Cvita::evolution_strategy< T, selection::alps, CS, replacement::alps >
Cvita::basic_alps_es< T, CS >	Basic ALPS strategy
►Cvita::evolution_strategy< T, selection::alps, recombination::de, replacement::alps >
►Cvita::basic_alps_es< T, recombination::de >
Cvita::de_alps_es< T >	Differential evolution strategy enhanced with ALPS
►Cvita::evolution_strategy< T, selection::random, recombination::de, replacement::tournament >
Cvita::de_es< T >	Differential evolution strategy
►Cvita::evolution_strategy< T, selection::tournament, recombination::base, replacement::tournament >
Cvita::std_es< T >	Standard evolution strategy
Cvita::dataframe::example	Stores a single element (row) of the dataset
►Cstd::exception	STL class
►Cstd::logic_error	STL class
Cvita::exception::insufficient_data
►Cstd::runtime_error	STL class
Cvita::exception::data_format
►Cstd::false_type
Cvita::has_introns< T >	The SFINAE way of recognizing if an individual has introns
Cvita::is_team< T >
Cvita::not_team< team< T > >
Cvita::hash_t	A 128bit unsigned integer used as individual's signature / hash table look-up key
Cvita::individual< Derived >	A single member of a population
►Cvita::individual< i_de >
Cvita::i_de	An individual optimized for differential evolution
►Cvita::individual< i_ga >
Cvita::i_ga	An GA-individual optimized for combinatorial optimization
►Cvita::individual< i_mep >
Cvita::i_mep	A MEP (Multi Expression Programming) single member of a population
►Cvita::interpreter< T >
Cvita::src_interpreter< T >
Cvita::locus
Cvita::log	A basic console printer with integrated logger
Cvita::mae_error_functor< T >	Mean Absolute Error
Cvita::environment::mep_parameters
Cvita::environment::misc_parameters
Cvita::model_measurements	A collection of measurements
►Cvita::model_metric	There are a lot of metrics related to a model (a lambda_f) and we don't want fat classes
Cvita::accuracy_metric	Accuracy refers to the number of training examples that are correctly valued/classified as a proportion of the total number of examples in the training set
Cvita::mse_error_functor< T >	Mean Squared Error
Cvita::murmurhash3	MurmurHash3 (https://github.com/aappleby/smhasher) by Austin Appleby
Cvita::alps::parameters	Parameters for the Age-Layered Population Structure (ALPS) paradigm
Cvita::dataframe::params
Cvita::population< T >	A group of individuals which may interact together (for example by mating) producing offspring
Cvita::population< i_mep >
Cvita::out::print_format
►Cvita::problem	Aggregates the problem-related data needed by an evolutionary program
Cvita::de_problem	Provides a DE-specific interface to the generic problem class
Cvita::ga_problem	Provides a GA-specific interface to the generic problem class
Cvita::src_problem	Provides a GP-specific interface to the generic problem class
►Cdetail::reg_lambda_f_storage
Cvita::basic_reg_lambda_f< T, false >
Cvita::basic_reg_lambda_f< T, S >	Lambda function specialized for regression tasks
Cvita::rmae_error_functor< T >	Mean of Relative Differences
Cvita::search< T, ES >	Search drives the evolution
►Cvita::search< i_mep, std_es >
Cvita::src_search< T, ES >	Drives the search for solutions of symbolic regression / classification tasks
►Cvita::search< T, ES >
Cvita::basic_ga_search< T, ES, F >	Search driver for GAs
Cvita::search_stats< T >
Cvita::environment::statistics
►Cvita::recombination::strategy< T >	The operation strategy (crossover, recombination, mutation...) adopted in the evolution class
Cvita::recombination::base< i_mep >
Cvita::recombination::base< T >	This class defines the program skeleton of a standard genetic programming crossover plus mutation operation
Cvita::recombination::de< T >	This is based on the differential evolution four members crossover
►Cvita::replacement::strategy< T >	The replacement strategy (random, tournament...) for the vita::evolution_strategy class
Cvita::replacement::alps< T >	ALPS based replacement scheme
Cvita::replacement::family_competition< T >	A family competition replacement scheme
Cvita::replacement::pareto< T >
Cvita::replacement::tournament< T >	Tournament based replacement scheme (aka kill tournament)
►Cvita::selection::strategy< T >	The strategy (tournament, fitness proportional...) for the evolution class
Cvita::selection::alps< T >	Alps selection as described in https://github.com/ghornby/alps (see also vita::basic_alps_es for further details)
Cvita::selection::pareto< T >	Pareto tournament selection as described in "Pursuing the Pareto Paradigm" (Mark Kotanchek, Guido Smits, Ekaterina Vladislavleva)
Cvita::selection::random< T >	Pick a set of random individuals
Cvita::selection::tournament< T >	Tournament selection is a method of selecting an individual from a population of individuals
►Cvita::selection::strategy< i_mep >
Cvita::selection::tournament< i_mep >
Cvita::symbol_set::collection::sum_container
Cvita::summary< T >	A summary of evolution (results, statistics...)
Cvita::summary< i_mep >
Cvita::analyzer< T >::sym_counter
►Cvita::symbol	Together functions and terminals are referred to as symbols
►Cvita::function	A symbol with arity() > 0
Cvita::boolean::l_and
Cvita::boolean::l_not
Cvita::boolean::l_or
Cvita::integer::add
Cvita::integer::div
Cvita::integer::ife
Cvita::integer::ifl
Cvita::integer::ifz
Cvita::integer::mod
Cvita::integer::mul
Cvita::integer::shl
Cvita::integer::sub
Cvita::real::abs	The absolute value of a real number
Cvita::real::add	Sum of two real numbers
Cvita::real::aq	Analytic quotient (AQ)
Cvita::real::cos	cos() of a real number
Cvita::real::div	Unprotected division (UPD) between two real numbers
Cvita::real::gt	"Greater Than" operator
Cvita::real::idiv	Quotient of the division between two real numbers
Cvita::real::ifb	"If between" operator
Cvita::real::ife	"If equal" operator
Cvita::real::ifl	"If less then" operator
Cvita::real::ifz	"If zero" operator
Cvita::real::length	Length of a string
Cvita::real::ln	Natural logarithm of a real number
Cvita::real::lt	"Less Then" operator
Cvita::real::max	The larger of two floating point values
Cvita::real::mod	Remainder of the division between real numbers
Cvita::real::mul	Product of real numbers
Cvita::real::sigmoid	Sigmoid function
Cvita::real::sin	Sin() of a real number
Cvita::real::sqrt	Square root of a real number
Cvita::real::sub	Subtraction between real numbers
Cvita::str::ife	String comparison for equality
►Cvita::terminal	A symbol with zero-arity
►Cvita::ga::detail::number< int >
Cvita::ga::integer
►Cvita::ga::detail::number< double >
Cvita::ga::real	Mainly used for differential evolution
Cvita::boolean::one
Cvita::boolean::zero
Cvita::constant< T >	A constant value in a given domain
Cvita::constant< std::string >
Cvita::integer::number	Integer ephemeral random constant
Cvita::real::integer	Ephemeral random integer constant
Cvita::real::real	Ephemeral random constant
Cvita::variable	Represents an input argument (feature) for a symbolic regression or classification problem
Cvita::symbol_factory	An abstract factory for symbols
►Cvita::symbol_params	An interface for parameter passing to functions / terminals
►Cvita::core_interpreter	Minimum interface of an interpreter
Cvita::interpreter< i_mep >	A specialization of the core_interpreter class
Cvita::symbol_set	A container for the symbols used by the GP engine
Cvita::team< T >	A collection of cooperating individuals used as a member of vita::population
Cvita::environment::team_parameters
►Cstd::true_type
Cvita::has_introns< i_mep >
Cvita::is_team< team< T > >
Cvita::not_team< T >
►Cvita::validation_strategy	Interface for specific training / cross validation techniques (e.g
Cvita::as_is_validation	A "null object" implementation of validation_strategy
Cvita::dss	Dynamic training Subset Selection
Cvita::holdout_validation	Holdout validation, aka one round cross-validation or conventional validation
Cvita::with_size	Tag representing size