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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 ..base_optimizer import BaseOptimizer |
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from .diagonal_grid_search import DiagonalGridSearchOptimizer |
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from .orthogonal_grid_search import OrthogonalGridSearchOptimizer |
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class GridSearchOptimizer(BaseOptimizer): |
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name = "Grid Search" |
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_name_ = "grid_search" |
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__name__ = "GridSearchOptimizer" |
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optimizer_type = "global" |
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computationally_expensive = False |
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def __init__( |
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self, |
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search_space, |
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initialize={"grid": 4, "random": 2, "vertices": 4}, |
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constraints=[], |
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random_state=None, |
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rand_rest_p=0, |
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nth_process=None, |
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step_size=1, |
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direction="diagonal", |
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): |
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super().__init__( |
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search_space=search_space, |
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initialize=initialize, |
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constraints=constraints, |
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random_state=random_state, |
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rand_rest_p=rand_rest_p, |
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nth_process=nth_process, |
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) |
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self.step_size = step_size |
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self.direction = direction |
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if direction == "orthogonal": |
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self.grid_search_opt = OrthogonalGridSearchOptimizer( |
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search_space=search_space, |
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initialize=initialize, |
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constraints=constraints, |
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random_state=random_state, |
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rand_rest_p=rand_rest_p, |
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nth_process=nth_process, |
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step_size=step_size, |
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) |
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elif direction == "diagonal": |
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self.grid_search_opt = DiagonalGridSearchOptimizer( |
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search_space=search_space, |
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initialize=initialize, |
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constraints=constraints, |
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random_state=random_state, |
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rand_rest_p=rand_rest_p, |
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nth_process=nth_process, |
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step_size=step_size, |
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) |
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else: |
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msg = "" |
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raise Exception(msg) |
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@BaseOptimizer.track_new_pos |
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def iterate(self): |
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return self.grid_search_opt.iterate() |
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@BaseOptimizer.track_new_score |
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def evaluate(self, score_new): |
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self.grid_search_opt.evaluate(score_new) |
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SimonBlanke /
Gradient-Free-Optimizers
