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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
from ..base_optimizer import BaseOptimizer
from .diagonal_grid_search import DiagonalGridSearchOptimizer
from .orthogonal_grid_search import OrthogonalGridSearchOptimizer
class GridSearchOptimizer(BaseOptimizer):
name = "Grid Search"
_name_ = "grid_search"
__name__ = "GridSearchOptimizer"
optimizer_type = "global"
computationally_expensive = False
def __init__(self, *args, step_size=1, direction="diagonal", **kwargs):
super().__init__(*args, **kwargs)
self.step_size = step_size
self.direction = direction
if direction == "orthogonal":
self.grid_search_opt = OrthogonalGridSearchOptimizer(
*args, step_size=step_size, **kwargs
)
elif direction == "diagonal":
self.grid_search_opt = DiagonalGridSearchOptimizer(
else:
msg = ""
raise Exception(msg)
@BaseOptimizer.track_new_pos
def iterate(self):
return self.grid_search_opt.iterate()
@BaseOptimizer.track_new_score
def evaluate(self, score_new):
self.grid_search_opt.evaluate(score_new)
SimonBlanke /
Gradient-Free-Optimizers
