hyperactive.optimizers.optimizers

Complexity

Total Complexity

14

Size/Duplication

Total Lines	108
Duplicated Lines	0 %

Importance

Changes

0

14 Methods

Rating	Name	Duplication	Size	Complexity
A	HillClimbingOptimizer.__init__()	0	3	1
A	DecisionTreeOptimizer.__init__()	0	3	1
A	ParallelTemperingOptimizer.__init__()	0	3	1
A	RandomRestartHillClimbingOptimizer.__init__()	0	3	1
A	BayesianOptimizer.__init__()	0	3	1
A	EnsembleOptimizer.__init__()	0	3	1
A	StochasticHillClimbingOptimizer.__init__()	0	3	1
A	RandomAnnealingOptimizer.__init__()	0	3	1
A	EvolutionStrategyOptimizer.__init__()	0	3	1
A	RepulsingHillClimbingOptimizer.__init__()	0	3	1
A	TreeStructuredParzenEstimators.__init__()	0	3	1
A	RandomSearchOptimizer.__init__()	0	3	1
A	ParticleSwarmOptimizer.__init__()	0	3	1
A	SimulatedAnnealingOptimizer.__init__()	0	3	1

# Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License


from .gfo_wrapper import _BaseOptimizer_

from gradient_free_optimizers import (
    HillClimbingOptimizer as _HillClimbingOptimizer,
    StochasticHillClimbingOptimizer as _StochasticHillClimbingOptimizer,
    RepulsingHillClimbingOptimizer as _RepulsingHillClimbingOptimizer,
    RandomSearchOptimizer as _RandomSearchOptimizer,
    RandomRestartHillClimbingOptimizer as _RandomRestartHillClimbingOptimizer,
    RandomAnnealingOptimizer as _RandomAnnealingOptimizer,
    SimulatedAnnealingOptimizer as _SimulatedAnnealingOptimizer,
    ParallelTemperingOptimizer as _ParallelTemperingOptimizer,
    ParticleSwarmOptimizer as _ParticleSwarmOptimizer,
    EvolutionStrategyOptimizer as _EvolutionStrategyOptimizer,
    BayesianOptimizer as _BayesianOptimizer,
    TreeStructuredParzenEstimators as _TreeStructuredParzenEstimators,
    DecisionTreeOptimizer as _DecisionTreeOptimizer,
    EnsembleOptimizer as _EnsembleOptimizer,
)


class HillClimbingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _HillClimbingOptimizer


class StochasticHillClimbingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _StochasticHillClimbingOptimizer


class RepulsingHillClimbingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _RepulsingHillClimbingOptimizer


class RandomSearchOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _RandomSearchOptimizer


class RandomRestartHillClimbingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _RandomRestartHillClimbingOptimizer


class RandomAnnealingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _RandomAnnealingOptimizer


class SimulatedAnnealingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _SimulatedAnnealingOptimizer


class ParallelTemperingOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _ParallelTemperingOptimizer


class ParticleSwarmOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _ParticleSwarmOptimizer


class EvolutionStrategyOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _EvolutionStrategyOptimizer


class BayesianOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _BayesianOptimizer


class TreeStructuredParzenEstimators(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _TreeStructuredParzenEstimators


class DecisionTreeOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _DecisionTreeOptimizer


class EnsembleOptimizer(_BaseOptimizer_):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _EnsembleOptimizer