gradient_free_optimizers.optimizers.exp_opt.random_annealing.RandomAnnealingOptimizer.__init__()

Complexity

Conditions

1

Size

Total Lines	31
Code Lines	29

Duplication

Lines	31
Ratio	100 %

Importance

Changes

0

# Author: Simon Blanke
    def __init__(

This code seems to be duplicated in your project.

        self,
        search_space,
        initialize={"grid": 4, "random": 2, "vertices": 4},
        constraints=[],
        random_state=None,
        rand_rest_p=0,
        nth_process=None,
        epsilon=0.03,
        distribution="normal",
        n_neighbours=3,
        annealing_rate=0.98,
        start_temp=10,
    ):
        super().__init__(
            search_space=search_space,
            initialize=initialize,
            constraints=constraints,
            random_state=random_state,
            rand_rest_p=rand_rest_p,
            nth_process=nth_process,
            epsilon=epsilon,
            distribution=distribution,
            n_neighbours=n_neighbours,
        )
        self.epsilon = epsilon
        self.distribution = distribution
        self.n_neighbours = n_neighbours
        self.annealing_rate = annealing_rate
        self.start_temp = start_temp
        self.temp = start_temp