cmaes.py 文件源码

python
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项目:bolero 作者: rock-learning 项目源码 文件源码
def __init__(
            self, initial_params=None, variance=1.0, covariance=None,
            n_samples_per_update=None, active=False, bounds=None, maximize=True,
            min_variance=2 * np.finfo(np.float).eps ** 2,
            min_fitness_dist=2 * np.finfo(np.float).eps, max_condition=1e7,
            log_to_file=False, log_to_stdout=False, random_state=None):
        self.initial_params = initial_params
        self.variance = variance
        self.covariance = covariance
        self.n_samples_per_update = n_samples_per_update
        self.active = active
        self.bounds = bounds
        self.maximize = maximize
        self.min_variance = min_variance
        self.min_fitness_dist = min_fitness_dist
        self.max_condition = max_condition
        self.log_to_file = log_to_file
        self.log_to_stdout = log_to_stdout
        self.random_state = random_state
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