All Optimizers

Subpackages

• hyponic.optimizers.genetic_based package
  • hyponic.optimizers.genetic_based.GA module
    • GA
      • GA.evolve()
      • GA.get_best_score()
      • GA.get_best_solution()
      • GA.get_current_best_score()
      • GA.get_current_best_solution()
      • GA.initialize()
• hyponic.optimizers.physics_based package
  • hyponic.optimizers.physics_based.SA module
    • SA
      • SA.evolve()
      • SA.get_best_score()
      • SA.get_best_solution()
      • SA.get_current_best_score()
      • SA.get_current_best_solution()
      • SA.initialize()
• hyponic.optimizers.swarm_based package
  • hyponic.optimizers.swarm_based.ABC module
    • ABC
      • ABC.evolve()
      • ABC.get_best_score()
      • ABC.get_best_solution()
      • ABC.get_current_best_score()
      • ABC.get_current_best_solution()
      • ABC.initialize()
  • hyponic.optimizers.swarm_based.ACO module
    • ACO
      • ACO.evolve()
      • ACO.get_best_score()
      • ACO.get_best_solution()
      • ACO.get_current_best_score()
      • ACO.get_current_best_solution()
      • ACO.initialize()
  • hyponic.optimizers.swarm_based.CS module
    • CS
      • CS.evolve()
      • CS.get_best_score()
      • CS.get_best_solution()
      • CS.get_current_best_score()
      • CS.get_current_best_solution()
      • CS.initialize()
  • hyponic.optimizers.swarm_based.GWO module
    • GWO
      • GWO.evolve()
      • GWO.get_best_score()
      • GWO.get_best_solution()
      • GWO.get_current_best_score()
      • GWO.get_current_best_solution()
      • GWO.initialize()
  • hyponic.optimizers.swarm_based.PSO module
    • IWPSO
    • PSO
      • PSO.evolve()
      • PSO.get_best_score()
      • PSO.get_best_solution()
      • PSO.get_current_best_score()
      • PSO.get_current_best_solution()
      • PSO.initialize()
• hyponic.utils package
  • hyponic.utils.history
    • History
      • History.get_current_best()
      • History.get_global_best()
      • History.get_history()
      • History.is_early_stopping()
      • History.update_history()
      • History.visualize()
      • History.visualize_fitness()
      • History.visualize_time()
  • hyponic.utils.problem_identifier
    • ProblemIdentifier
      • ProblemIdentifier.get_problem_type()
    • ProblemType
      • ProblemType.BINARY_CLASSIFICATION
      • ProblemType.MULTICLASS_CLASSIFICATION
      • ProblemType.REGRESSION

Submodules

hyponic.hyponic module

class hyponic.hyponic.HypONIC(Hyperparameter Optimization using Nature-Inspired Computing)

Bases: object

Main class for hyperparameter optimization.

static warn_not_optimized(func)

Decorator that warns if a method is called before optimization.

hyponic.space module

This module contains the Space class, which is used to define the search space.

class hyponic.space.Space(in_dict: dict[str, Any])

Bases: object

A class that represents the search space of a hyperparameter optimization problem.

get_continuous_mappings(scales: dict | int | float = None, origins: dict | int | float = None) → dict[str, (typing.Callable, (<class 'float'>, <class 'float'>))]

Returns a function that maps a discrete value to a continuous value.

map_to_original_space(values: list[float]) → dict[str, Any]

Maps a list of values from the continuous space to the original space.