hyperactive.optimizers.optimizers.PatternSearch.__init__() - Code Metrics - Inspection of "Merge branch 'dev'" - SimonBlanke/Hyperactive - Measure and Improve Code Quality continuously with Scrutinizer

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created 2022-11-16 16:50 UTC

PatternSearch.init() A

↳ Parent: hyperactive.optimizers.optimizers

Complexity

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Total Lines	3
Code Lines	3

Duplication

Lines	0
Ratio	0 %

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Metric	Value
cc	1
eloc	3
nop	2
dl	0
loc	3
rs	10
c	0
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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License


from .hyper_optimizer import HyperOptimizer

from gradient_free_optimizers import (
    HillClimbingOptimizer as _HillClimbingOptimizer,
    StochasticHillClimbingOptimizer as _StochasticHillClimbingOptimizer,
    RepulsingHillClimbingOptimizer as _RepulsingHillClimbingOptimizer,
    SimulatedAnnealingOptimizer as _SimulatedAnnealingOptimizer,
    DownhillSimplexOptimizer as _DownhillSimplexOptimizer,
    RandomSearchOptimizer as _RandomSearchOptimizer,
    GridSearchOptimizer as _GridSearchOptimizer,
    RandomRestartHillClimbingOptimizer as _RandomRestartHillClimbingOptimizer,
    RandomAnnealingOptimizer as _RandomAnnealingOptimizer,
    PowellsMethod as _PowellsMethod,
    PatternSearch as _PatternSearch,
    ParallelTemperingOptimizer as _ParallelTemperingOptimizer,
    ParticleSwarmOptimizer as _ParticleSwarmOptimizer,
    SpiralOptimization as _SpiralOptimization_,
    EvolutionStrategyOptimizer as _EvolutionStrategyOptimizer,
    BayesianOptimizer as _BayesianOptimizer,
    LipschitzOptimizer as _LipschitzOptimizer_,
    DirectAlgorithm as _DirectAlgorithm_,
    TreeStructuredParzenEstimators as _TreeStructuredParzenEstimators,
    ForestOptimizer as _ForestOptimizer,
    EnsembleOptimizer as _EnsembleOptimizer,
)


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


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


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


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


class DownhillSimplexOptimizer(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _DownhillSimplexOptimizer


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


class GridSearchOptimizer(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _GridSearchOptimizer


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


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


class PowellsMethod(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _PowellsMethod


class PatternSearch(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _PatternSearch


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


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


class SpiralOptimization(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _SpiralOptimization_


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


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


class LipschitzOptimizer(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _LipschitzOptimizer_


class DirectAlgorithm(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _DirectAlgorithm_


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


class ForestOptimizer(HyperOptimizer):
    def __init__(self, **opt_params):
        super().__init__(**opt_params)
        self._OptimizerClass = _ForestOptimizer


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


1			# Author: Simon Blanke
2			# Email: [email protected]
3			# License: MIT License
4
5
6			from .hyper_optimizer import HyperOptimizer
7
8			from gradient_free_optimizers import (
9			HillClimbingOptimizer as _HillClimbingOptimizer,
10			StochasticHillClimbingOptimizer as _StochasticHillClimbingOptimizer,
11			RepulsingHillClimbingOptimizer as _RepulsingHillClimbingOptimizer,
12			SimulatedAnnealingOptimizer as _SimulatedAnnealingOptimizer,
13			DownhillSimplexOptimizer as _DownhillSimplexOptimizer,
14			RandomSearchOptimizer as _RandomSearchOptimizer,
15			GridSearchOptimizer as _GridSearchOptimizer,
16			RandomRestartHillClimbingOptimizer as _RandomRestartHillClimbingOptimizer,
17			RandomAnnealingOptimizer as _RandomAnnealingOptimizer,
18			PowellsMethod as _PowellsMethod,
19			PatternSearch as _PatternSearch,
20			ParallelTemperingOptimizer as _ParallelTemperingOptimizer,
21			ParticleSwarmOptimizer as _ParticleSwarmOptimizer,
22			SpiralOptimization as _SpiralOptimization_,
23			EvolutionStrategyOptimizer as _EvolutionStrategyOptimizer,
24			BayesianOptimizer as _BayesianOptimizer,
25			LipschitzOptimizer as _LipschitzOptimizer_,
26			DirectAlgorithm as _DirectAlgorithm_,
27			TreeStructuredParzenEstimators as _TreeStructuredParzenEstimators,
28			ForestOptimizer as _ForestOptimizer,
29			EnsembleOptimizer as _EnsembleOptimizer,
30			)
31
32
33			class HillClimbingOptimizer(HyperOptimizer):
34			def __init__(self, **opt_params):
35			super().__init__(**opt_params)
36			self._OptimizerClass = _HillClimbingOptimizer
37
38
39			class StochasticHillClimbingOptimizer(HyperOptimizer):
40			def __init__(self, **opt_params):
41			super().__init__(**opt_params)
42			self._OptimizerClass = _StochasticHillClimbingOptimizer
43
44
45			class RepulsingHillClimbingOptimizer(HyperOptimizer):
46			def __init__(self, **opt_params):
47			super().__init__(**opt_params)
48			self._OptimizerClass = _RepulsingHillClimbingOptimizer
49
50
51			class SimulatedAnnealingOptimizer(HyperOptimizer):
52			def __init__(self, **opt_params):
53			super().__init__(**opt_params)
54			self._OptimizerClass = _SimulatedAnnealingOptimizer
55
56
57			class DownhillSimplexOptimizer(HyperOptimizer):
58			def __init__(self, **opt_params):
59			super().__init__(**opt_params)
60			self._OptimizerClass = _DownhillSimplexOptimizer
61
62
63			class RandomSearchOptimizer(HyperOptimizer):
64			def __init__(self, **opt_params):
65			super().__init__(**opt_params)
66			self._OptimizerClass = _RandomSearchOptimizer
67
68
69			class GridSearchOptimizer(HyperOptimizer):
70			def __init__(self, **opt_params):
71			super().__init__(**opt_params)
72			self._OptimizerClass = _GridSearchOptimizer
73
74
75			class RandomRestartHillClimbingOptimizer(HyperOptimizer):
76			def __init__(self, **opt_params):
77			super().__init__(**opt_params)
78			self._OptimizerClass = _RandomRestartHillClimbingOptimizer
79
80
81			class RandomAnnealingOptimizer(HyperOptimizer):
82			def __init__(self, **opt_params):
83			super().__init__(**opt_params)
84			self._OptimizerClass = _RandomAnnealingOptimizer
85
86
87			class PowellsMethod(HyperOptimizer):
88			def __init__(self, **opt_params):
89			super().__init__(**opt_params)
90			self._OptimizerClass = _PowellsMethod
91
92
93			class PatternSearch(HyperOptimizer):
94			def __init__(self, **opt_params):
95			super().__init__(**opt_params)
96			self._OptimizerClass = _PatternSearch
97
98
99			class ParallelTemperingOptimizer(HyperOptimizer):
100			def __init__(self, **opt_params):
101			super().__init__(**opt_params)
102			self._OptimizerClass = _ParallelTemperingOptimizer
103
104
105			class ParticleSwarmOptimizer(HyperOptimizer):
106			def __init__(self, **opt_params):
107			super().__init__(**opt_params)
108			self._OptimizerClass = _ParticleSwarmOptimizer
109
110
111			class SpiralOptimization(HyperOptimizer):
112			def __init__(self, **opt_params):
113			super().__init__(**opt_params)
114			self._OptimizerClass = _SpiralOptimization_
115
116
117			class EvolutionStrategyOptimizer(HyperOptimizer):
118			def __init__(self, **opt_params):
119			super().__init__(**opt_params)
120			self._OptimizerClass = _EvolutionStrategyOptimizer
121
122
123			class BayesianOptimizer(HyperOptimizer):
124			def __init__(self, **opt_params):
125			super().__init__(**opt_params)
126			self._OptimizerClass = _BayesianOptimizer
127
128
129			class LipschitzOptimizer(HyperOptimizer):
130			def __init__(self, **opt_params):
131			super().__init__(**opt_params)
132			self._OptimizerClass = _LipschitzOptimizer_
133
134
135			class DirectAlgorithm(HyperOptimizer):
136			def __init__(self, **opt_params):
137			super().__init__(**opt_params)
138			self._OptimizerClass = _DirectAlgorithm_
139
140
141			class TreeStructuredParzenEstimators(HyperOptimizer):
142			def __init__(self, **opt_params):
143			super().__init__(**opt_params)
144			self._OptimizerClass = _TreeStructuredParzenEstimators
145
146
147			class ForestOptimizer(HyperOptimizer):
148			def __init__(self, **opt_params):
149			super().__init__(**opt_params)
150			self._OptimizerClass = _ForestOptimizer
151
152
153			class EnsembleOptimizer(HyperOptimizer):
154			def __init__(self, **opt_params):
155			super().__init__(**opt_params)
156			self._OptimizerClass = _EnsembleOptimizer
157

SimonBlanke / Hyperactive

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