Index

A

add_primitives_to_pset_from_dict() (in module flex.gp.primitives)

avg_func() (in module flex.gp.util)

C

CochainBasePrimitive (class in flex.gp.cochain_primitives) compile_individual_with_consts() (in module flex.gp.util)

compile_individuals() (in module flex.gp.util) Complex (class in flex.gp.cochain_primitives) compute_primitive_in_out_type() (in module flex.gp.cochain_primitives)

D

deap_primitive_to_sympy_expr() (in module flex.gp.sympy) define_eval_with_suitable_imports() (in module flex.gp.cochain_primitives) detect_nested_trigonometric_functions() (in module flex.gp.util) dim_constructor() (in module flex.gp.util)

Dimension (class in flex.gp.cochain_primitives) DUAL (flex.gp.cochain_primitives.Complex attribute) dummy_fitness() (in module flex.gp.util) dummy_predict() (in module flex.gp.util) dummy_score() (in module flex.gp.util)

F

fit() (flex.gp.regressor.GPSymbolicRegressor method) fitness_value() (in module flex.gp.util) flex module flex.gp module flex.gp.cochain_primitives module flex.gp.jax_primitives module

flex.gp.numpy_primitives module flex.gp.primitives module flex.gp.regressor module flex.gp.sympy module flex.gp.util module

G

generate_primitive_variants() (in module flex.gp.cochain_primitives) get_base_name() (in module flex.gp.primitives) get_best_individuals() (flex.gp.regressor.GPSymbolicRegressor method) get_best_individuals_sympy() (flex.gp.regressor.GPSymbolicRegressor method) get_last_gen() (flex.gp.regressor.GPSymbolicRegressor method)

get_params() (flex.gp.regressor.GPSymbolicRegressor method) get_pop_stats() (flex.gp.regressor.GPSymbolicRegressor method) get_population_individuals() (flex.gp.regressor.GPSymbolicRegressor method) get_train_fit_history() (flex.gp.regressor.GPSymbolicRegressor method) get_val_score_history() (flex.gp.regressor.GPSymbolicRegressor method) GPSymbolicRegressor (class in flex.gp.regressor)

I

inv_float() (in module flex.gp.jax_primitives)

inv_scalar_mul() (in module flex.gp.cochain_primitives)

L

load_config_data() (in module flex.gp.util)

M

mapper() (in module flex.gp.util) max_func() (in module flex.gp.util) min_func() (in module flex.gp.util) module flex flex.gp flex.gp.cochain_primitives flex.gp.jax_primitives flex.gp.numpy_primitives flex.gp.primitives flex.gp.regressor flex.gp.sympy flex.gp.util

N

n_elitist (flex.gp.regressor.GPSymbolicRegressor property)

O

ONE (flex.gp.cochain_primitives.Dimension attribute)

P

predict() (flex.gp.regressor.GPSymbolicRegressor method) PRIMAL (flex.gp.cochain_primitives.Complex attribute) PrimitiveParams (class in flex.gp.primitives)

protectedDiv() (in module flex.gp.jax_primitives) protectedLog() (in module flex.gp.jax_primitives) protectedSqrt() (in module flex.gp.jax_primitives)

R

Rank (class in flex.gp.cochain_primitives)

rank_constructor() (in module flex.gp.util)

S

save_best_test_sols() (flex.gp.regressor.GPSymbolicRegressor method) SCALAR (flex.gp.cochain_primitives.Rank attribute) score() (flex.gp.regressor.GPSymbolicRegressor method) set_fit_request() (flex.gp.regressor.GPSymbolicRegressor method)

square_mod() (in module flex.gp.jax_primitives) std_func() (in module flex.gp.util) stringify_for_sympy() (in module flex.gp.sympy) switch_complex() (in module flex.gp.cochain_primitives)

T

TENSOR (flex.gp.cochain_primitives.Rank attribute)

TWO (flex.gp.cochain_primitives.Dimension attribute)

V

VECTOR (flex.gp.cochain_primitives.Rank attribute)

Z

ZERO (flex.gp.cochain_primitives.Dimension attribute)