flex package

Subpackages

• flex.gp namespace
  • Submodules
  • flex.gp.cochain_primitives module
    • CochainBasePrimitive
    • Complex
      • Complex.DUAL
      • Complex.PRIMAL
    • Dimension
      • Dimension.ONE
      • Dimension.TWO
      • Dimension.ZERO
    • Rank
      • Rank.SCALAR
      • Rank.TENSOR
      • Rank.VECTOR
    • compute_primitive_in_out_type()
    • define_eval_with_suitable_imports()
    • generate_primitive_variants()
    • inv_scalar_mul()
    • switch_complex()
  • flex.gp.jax_primitives module
    • inv_float()
    • protectedDiv()
    • protectedLog()
    • protectedSqrt()
    • square_mod()
  • flex.gp.numpy_primitives module
  • flex.gp.primitives module
    • PrimitiveParams
    • add_primitives_to_pset_from_dict()
    • get_base_name()
  • flex.gp.regressor module
    • GPSymbolicRegressor
      • GPSymbolicRegressor.fit()
      • GPSymbolicRegressor.get_best_individuals()
      • GPSymbolicRegressor.get_best_individuals_sympy()
      • GPSymbolicRegressor.get_last_gen()
      • GPSymbolicRegressor.get_params()
      • GPSymbolicRegressor.get_pop_stats()
      • GPSymbolicRegressor.get_population_individuals()
      • GPSymbolicRegressor.get_train_fit_history()
      • GPSymbolicRegressor.get_val_score_history()
      • GPSymbolicRegressor.n_elitist
      • GPSymbolicRegressor.predict()
      • GPSymbolicRegressor.save_best_test_sols()
      • GPSymbolicRegressor.score()
      • GPSymbolicRegressor.set_fit_request()
  • flex.gp.sympy module
    • deap_primitive_to_sympy_expr()
    • stringify_for_sympy()
  • flex.gp.util module
    • avg_func()
    • compile_individual_with_consts()
    • compile_individuals()
    • detect_nested_trigonometric_functions()
    • dim_constructor()
    • dummy_fitness()
    • dummy_predict()
    • dummy_score()
    • fitness_value()
    • load_config_data()
    • mapper()
    • max_func()
    • min_func()
    • rank_constructor()
    • std_func()

Module contents