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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 .util import merge_dicts |
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from sklearn.gaussian_process import GaussianProcessRegressor |
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from sklearn.gaussian_process.kernels import Matern |
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from numpy.random import normal |
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View Code Duplication |
class GPR: |
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def __init__(self): |
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self.gpr = GaussianProcessRegressor( |
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kernel=Matern(nu=2.5), normalize_y=True, n_restarts_optimizer=10 |
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) |
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def fit(self, X, y): |
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self.gpr.fit(X, y) |
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def predict(self, X): |
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return self.gpr.predict(X, return_std=True) |
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class Arguments: |
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def __init__(self, *args, **kwargs): |
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kwargs_opt = { |
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# HillClimbingOptimizer |
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"epsilon": 0.03, |
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"climb_dist": normal, |
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"n_neighbours": 1, |
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# StochasticHillClimbingOptimizer |
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"p_down": 0.5, |
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# TabuOptimizer |
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"tabu_memory": 10, |
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# RandomRestartHillClimbingOptimizer |
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"n_restarts": 10, |
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# RandomAnnealingOptimizer |
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"epsilon_mod": 33, |
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"annealing_rate": 0.99, |
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# SimulatedAnnealingOptimizer |
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"start_temp": 1, # TODO |
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# StochasticTunnelingOptimizer |
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"gamma": 0.5, |
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# ParallelTemperingOptimizer |
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"system_temperatures": [0.1, 0.25, 0.5, 0.75, 1, 2.5, 5, 7.5, 10], |
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"n_swaps": 10, |
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# ParticleSwarmOptimizer |
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"n_particles": 10, |
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"inertia": 0.5, |
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"cognitive_weight": 0.5, |
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"social_weight": 0.5, |
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# EvolutionStrategyOptimizer |
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"individuals": 10, |
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"mutation_rate": 0.7, |
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"crossover_rate": 0.3, |
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# BayesianOptimizer |
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"warm_start_smbo": False, |
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"xi": 0.01, |
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"gpr": GPR(), |
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} |
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self.kwargs_opt = merge_dicts(kwargs_opt, kwargs) |
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self._set_specific_args(self.kwargs_opt) |
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def _set_specific_args(self, kwargs_opt): |
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self.epsilon = kwargs_opt["epsilon"] |
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self.climb_dist = kwargs_opt["climb_dist"] |
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self.n_neighbours = kwargs_opt["n_neighbours"] |
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self.p_down = kwargs_opt["p_down"] |
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self.tabu_memory = kwargs_opt["tabu_memory"] |
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self.n_restarts = kwargs_opt["n_restarts"] |
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self.epsilon_mod = kwargs_opt["epsilon_mod"] |
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self.annealing_rate = kwargs_opt["annealing_rate"] |
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self.gamma = kwargs_opt["gamma"] |
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self.system_temperatures = kwargs_opt["system_temperatures"] |
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self.n_swaps = kwargs_opt["n_swaps"] |
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self.n_particles = kwargs_opt["n_particles"] |
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self.inertia = kwargs_opt["inertia"] |
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self.cognitive_weight = kwargs_opt["cognitive_weight"] |
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self.social_weight = kwargs_opt["social_weight"] |
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self.individuals = kwargs_opt["individuals"] |
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self.mutation_rate = kwargs_opt["mutation_rate"] |
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self.crossover_rate = kwargs_opt["crossover_rate"] |
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self.warm_start_smbo = kwargs_opt["warm_start_smbo"] |
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self.xi = kwargs_opt["xi"] |
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self.gpr = kwargs_opt["gpr"] |
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SimonBlanke /
Hyperactive
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