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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 .search import Search |
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from .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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SimulatedAnnealingOptimizer as _SimulatedAnnealingOptimizer, |
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DownhillSimplexOptimizer as _DownhillSimplexOptimizer, |
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RandomSearchOptimizer as _RandomSearchOptimizer, |
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GridSearchOptimizer as _GridSearchOptimizer, |
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RandomRestartHillClimbingOptimizer as _RandomRestartHillClimbingOptimizer, |
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RandomAnnealingOptimizer as _RandomAnnealingOptimizer, |
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PowellsMethod as _PowellsMethod, |
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PatternSearch as _PatternSearch, |
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ParallelTemperingOptimizer as _ParallelTemperingOptimizer, |
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ParticleSwarmOptimizer as _ParticleSwarmOptimizer, |
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SpiralOptimization as _SpiralOptimization, |
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EvolutionStrategyOptimizer as _EvolutionStrategyOptimizer, |
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BayesianOptimizer as _BayesianOptimizer, |
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LipschitzOptimizer as _LipschitzOptimizer, |
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DirectAlgorithm as _DirectAlgorithm, |
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TreeStructuredParzenEstimators as _TreeStructuredParzenEstimators, |
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ForestOptimizer as _ForestOptimizer, |
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EnsembleOptimizer as _EnsembleOptimizer, |
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) |
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class HillClimbingOptimizer(_HillClimbingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class StochasticHillClimbingOptimizer(_StochasticHillClimbingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class RepulsingHillClimbingOptimizer(_RepulsingHillClimbingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class SimulatedAnnealingOptimizer(_SimulatedAnnealingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class DownhillSimplexOptimizer(_DownhillSimplexOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class RandomSearchOptimizer(_RandomSearchOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class GridSearchOptimizer(_GridSearchOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class RandomRestartHillClimbingOptimizer(_RandomRestartHillClimbingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class RandomAnnealingOptimizer(_RandomAnnealingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class PowellsMethod(_PowellsMethod, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class PatternSearch(_PatternSearch, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class ParallelTemperingOptimizer(_ParallelTemperingOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class ParticleSwarmOptimizer(_ParticleSwarmOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class SpiralOptimization(_SpiralOptimization, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class EvolutionStrategyOptimizer(_EvolutionStrategyOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class BayesianOptimizer(_BayesianOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class LipschitzOptimizer(_LipschitzOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class DirectAlgorithm(_DirectAlgorithm, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class TreeStructuredParzenEstimators(_TreeStructuredParzenEstimators, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class ForestOptimizer(_ForestOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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class EnsembleOptimizer(_EnsembleOptimizer, Search): |
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def __init__(self, *args, **kwargs): |
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super().__init__(*args, **kwargs) |
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SimonBlanke /
Gradient-Free-Optimizers
