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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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from .gfo_wrapper import _BaseOptimizer_ |
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from gradient_free_optimizers import ( |
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HillClimbingOptimizer as _HillClimbingOptimizer, |
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StochasticHillClimbingOptimizer as _StochasticHillClimbingOptimizer, |
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RepulsingHillClimbingOptimizer as _RepulsingHillClimbingOptimizer, |
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RandomSearchOptimizer as _RandomSearchOptimizer, |
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RandomRestartHillClimbingOptimizer as _RandomRestartHillClimbingOptimizer, |
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RandomAnnealingOptimizer as _RandomAnnealingOptimizer, |
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SimulatedAnnealingOptimizer as _SimulatedAnnealingOptimizer, |
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ParallelTemperingOptimizer as _ParallelTemperingOptimizer, |
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ParticleSwarmOptimizer as _ParticleSwarmOptimizer, |
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EvolutionStrategyOptimizer as _EvolutionStrategyOptimizer, |
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BayesianOptimizer as _BayesianOptimizer, |
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TreeStructuredParzenEstimators as _TreeStructuredParzenEstimators, |
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DecisionTreeOptimizer as _DecisionTreeOptimizer, |
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EnsembleOptimizer as _EnsembleOptimizer, |
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) |
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class HillClimbingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _HillClimbingOptimizer |
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class StochasticHillClimbingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _StochasticHillClimbingOptimizer |
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class RepulsingHillClimbingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _RepulsingHillClimbingOptimizer |
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class RandomSearchOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _RandomSearchOptimizer |
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class RandomRestartHillClimbingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _RandomRestartHillClimbingOptimizer |
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class RandomAnnealingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _RandomAnnealingOptimizer |
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class SimulatedAnnealingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _SimulatedAnnealingOptimizer |
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class ParallelTemperingOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _ParallelTemperingOptimizer |
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class ParticleSwarmOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _ParticleSwarmOptimizer |
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class EvolutionStrategyOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _EvolutionStrategyOptimizer |
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class BayesianOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _BayesianOptimizer |
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class TreeStructuredParzenEstimators(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _TreeStructuredParzenEstimators |
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class DecisionTreeOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _DecisionTreeOptimizer |
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class EnsembleOptimizer(_BaseOptimizer_): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self._OptimizerClass = _EnsembleOptimizer |
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SimonBlanke /
Hyperactive
