Index

A

apply_tree() (in module slim_gsgp.algorithms.GSGP.representations.tree_utils) (slim_gsgp.algorithms.GP.representations.tree.Tree method)

B

bound_value() (in module slim_gsgp.algorithms.GP.representations.tree_utils)

C

calculate_semantics() (slim_gsgp.algorithms.GSGP.representations.population.Population method) (slim_gsgp.algorithms.GSGP.representations.tree.Tree method) (slim_gsgp.algorithms.SLIM_GSGP.representations.population.Population method) check_slim_version() (in module slim_gsgp.utils.utils)

CONSTANTS (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) create_full_random_tree() (in module slim_gsgp.algorithms.GP.representations.tree_utils) create_grow_random_tree() (in module slim_gsgp.algorithms.GP.representations.tree_utils) crossover_trees() (in module slim_gsgp.algorithms.GP.operators.crossover_operators)

D

depth (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute)

drop_experiment_from_logger() (in module slim_gsgp.utils.logger)

E

evaluate() (slim_gsgp.algorithms.GP.representations.population.Population method) (slim_gsgp.algorithms.GP.representations.tree.Tree method) (slim_gsgp.algorithms.GSGP.representations.population.Population method) (slim_gsgp.algorithms.GSGP.representations.tree.Tree method) (slim_gsgp.algorithms.SLIM_GSGP.representations.population.Population method)

evaluate_no_parall() (slim_gsgp.algorithms.SLIM_GSGP.representations.population.Population method) evolve_population() (slim_gsgp.algorithms.GP.gp.GP method)

F

fitness (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) flatten() (in module slim_gsgp.algorithms.GP.representations.tree_utils)

full() (in module slim_gsgp.initializers.initializers) FUNCTIONS (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute)

G

generate_random_uniform() (in module slim_gsgp.utils.utils) geometric_crossover() (in module slim_gsgp.algorithms.GSGP.operators.crossover_operators) get_best_max() (in module slim_gsgp.utils.utils) get_best_min() (in module slim_gsgp.utils.utils) get_random_tree() (in module slim_gsgp.utils.utils) get_terminals() (in module slim_gsgp.utils.utils) get_tree_representation() (slim_gsgp.algorithms.GP.representations.tree.Tree method)

GP (class in slim_gsgp.algorithms.GP.gp) gp() (in module slim_gsgp.main_gp), [1] grow() (in module slim_gsgp.initializers.initializers) gs_rmse() (in module slim_gsgp.utils.utils) gs_size() (in module slim_gsgp.utils.utils) GSGP (class in slim_gsgp.algorithms.GSGP.gsgp) gsgp() (in module slim_gsgp.main_gsgp), [1] gsgp_pop_div_from_vectors() (in module slim_gsgp.utils.diversity)

L

load_airfoil() (in module slim_gsgp.datasets.data_loader) load_bike_sharing() (in module slim_gsgp.datasets.data_loader) load_bioav() (in module slim_gsgp.datasets.data_loader) load_boston() (in module slim_gsgp.datasets.data_loader) load_breast_cancer() (in module slim_gsgp.datasets.data_loader) load_concrete_slump() (in module slim_gsgp.datasets.data_loader) load_concrete_strength() (in module slim_gsgp.datasets.data_loader) load_diabetes() (in module slim_gsgp.datasets.data_loader) load_efficiency_cooling() (in module slim_gsgp.datasets.data_loader) load_efficiency_heating() (in module slim_gsgp.datasets.data_loader)

load_forest_fires() (in module slim_gsgp.datasets.data_loader) load_istanbul() (in module slim_gsgp.datasets.data_loader) load_ld50() (in module slim_gsgp.datasets.data_loader) load_pandas_df() (in module slim_gsgp.datasets.data_loader) load_parkinson_updrs() (in module slim_gsgp.datasets.data_loader) load_ppb() (in module slim_gsgp.datasets.data_loader) load_resid_build_sale_price() (in module slim_gsgp.datasets.data_loader) log_generation() (slim_gsgp.algorithms.GP.gp.GP method) log_settings() (in module slim_gsgp.utils.logger) logger() (in module slim_gsgp.utils.logger)

M

mae() (in module slim_gsgp.evaluators.fitness_functions) mae_int() (in module slim_gsgp.evaluators.fitness_functions) mean_() (in module slim_gsgp.utils.utils) merge_settings() (in module slim_gsgp.utils.logger) module slim_gsgp.algorithms.GP.gp slim_gsgp.algorithms.GP.operators.crossover_operators slim_gsgp.algorithms.GP.operators.mutators slim_gsgp.algorithms.GP.representations.population slim_gsgp.algorithms.GP.representations.tree slim_gsgp.algorithms.GP.representations.tree_utils slim_gsgp.algorithms.GSGP.gsgp slim_gsgp.algorithms.GSGP.operators.crossover_operators slim_gsgp.algorithms.GSGP.operators.mutators slim_gsgp.algorithms.GSGP.representations.population slim_gsgp.algorithms.GSGP.representations.tree slim_gsgp.algorithms.GSGP.representations.tree_utils slim_gsgp.algorithms.SLIM_GSGP.representations.population slim_gsgp.config.gp_config slim_gsgp.config.gsgp_config slim_gsgp.datasets.data_loader slim_gsgp.evaluators.fitness_functions slim_gsgp.example_gp slim_gsgp.example_gsgp slim_gsgp.initializers.initializers slim_gsgp.main_gp, [1] slim_gsgp.main_gsgp, [1] slim_gsgp.selection slim_gsgp.selection.selection_algorithms slim_gsgp.utils.diversity slim_gsgp.utils.logger slim_gsgp.utils.utils

mse() (in module slim_gsgp.evaluators.fitness_functions) mutate_tree_node() (in module slim_gsgp.algorithms.GP.operators.mutators) mutate_tree_subtree() (in module slim_gsgp.algorithms.GP.operators.mutators)

N

nested_depth_calculator() (in module slim_gsgp.algorithms.GSGP.representations.tree_utils) nested_nodes_calculator() (in module slim_gsgp.algorithms.GSGP.representations.tree_utils)

niche_entropy() (in module slim_gsgp.utils.diversity) node_count (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) nodes (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute)

P

Population (class in slim_gsgp.algorithms.GP.representations.population) (class in slim_gsgp.algorithms.GSGP.representations.population) (class in slim_gsgp.algorithms.SLIM_GSGP.representations.population) predict() (slim_gsgp.algorithms.GP.representations.tree.Tree method) (slim_gsgp.algorithms.GSGP.representations.tree.Tree method)

print_tree_representation() (slim_gsgp.algorithms.GP.representations.tree.Tree method) product_one_trees_geometric_mutation() (in module slim_gsgp.algorithms.GSGP.operators.mutators) product_two_trees_geometric_mutation() (in module slim_gsgp.algorithms.GSGP.operators.mutators) protected_div() (in module slim_gsgp.utils.utils)

R

r2_score() (in module slim_gsgp.evaluators.fitness_functions) random_subtree() (in module slim_gsgp.algorithms.GP.representations.tree_utils)

repr_ (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) rhh() (in module slim_gsgp.initializers.initializers) rmse() (in module slim_gsgp.evaluators.fitness_functions)

S

show_individual() (in module slim_gsgp.utils.utils) signed_errors() (in module slim_gsgp.evaluators.fitness_functions) slim_gsgp.algorithms.GP.gp module slim_gsgp.algorithms.GP.operators.crossover_operators module slim_gsgp.algorithms.GP.operators.mutators module slim_gsgp.algorithms.GP.representations.population module slim_gsgp.algorithms.GP.representations.tree module slim_gsgp.algorithms.GP.representations.tree_utils module slim_gsgp.algorithms.GSGP.gsgp module slim_gsgp.algorithms.GSGP.operators.crossover_operators module slim_gsgp.algorithms.GSGP.operators.mutators module slim_gsgp.algorithms.GSGP.representations.population module slim_gsgp.algorithms.GSGP.representations.tree module slim_gsgp.algorithms.GSGP.representations.tree_utils module slim_gsgp.algorithms.SLIM_GSGP.representations.population module slim_gsgp.config.gp_config module slim_gsgp.config.gsgp_config module

slim_gsgp.datasets.data_loader module slim_gsgp.evaluators.fitness_functions module slim_gsgp.example_gp module slim_gsgp.example_gsgp module slim_gsgp.initializers.initializers module slim_gsgp.main_gp module, [1] slim_gsgp.main_gsgp module, [1] slim_gsgp.selection module slim_gsgp.selection.selection_algorithms module slim_gsgp.utils.diversity module slim_gsgp.utils.logger module slim_gsgp.utils.utils module solve() (slim_gsgp.algorithms.GP.gp.GP method) (slim_gsgp.algorithms.GSGP.gsgp.GSGP method) standard_geometric_mutation() (in module slim_gsgp.algorithms.GSGP.operators.mutators) standard_one_tree_geometric_mutation() (in module slim_gsgp.algorithms.GSGP.operators.mutators) structure (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) substitute_subtree() (in module slim_gsgp.algorithms.GP.representations.tree_utils)

T

tensor_dimensioned_sum() (in module slim_gsgp.utils.utils) TERMINALS (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) test_fitness (slim_gsgp.algorithms.GP.representations.tree.Tree attribute) (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) test_semantics (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) tournament_selection_max() (in module slim_gsgp.selection.selection_algorithms)

tournament_selection_min() (in module slim_gsgp.selection.selection_algorithms) train_semantics (slim_gsgp.algorithms.GSGP.representations.tree.Tree attribute) train_test_split() (in module slim_gsgp.utils.utils) Tree (class in slim_gsgp.algorithms.GP.representations.tree) (class in slim_gsgp.algorithms.GSGP.representations.tree) tree_depth() (in module slim_gsgp.algorithms.GP.representations.tree_utils) tree_pruning() (in module slim_gsgp.algorithms.GP.representations.tree_utils)

V

validate_inputs() (in module slim_gsgp.utils.utils)

verbose_reporter() (in module slim_gsgp.utils.utils)