gradient_free_optimizers.optimizers.base_optimizer.BaseOptimizer.__init__() - Code Metrics - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

BaseOptimizer.init() A
last analyzed 2025-08-06 16:49 UTC

↳ Parent: gradient_free_optimizers.optimizers.base_optimizer

Complexity

Conditions

Size

Total Lines	19
Code Lines	16

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	16
dl	0
loc	19
rs	9.6
c	0
b	0
f	0
cc	1
nop	7

# Author: Simon Blanke
# Email: [email protected]
# License: MIT License


from .core_optimizer import CoreOptimizer


class BaseOptimizer(CoreOptimizer):
    def __init__(
        self,
        search_space,
        initialize={"grid": 4, "random": 2, "vertices": 4},
        constraints=[],
        random_state=None,
        rand_rest_p=0,
        nth_process=None,
    ):
        super().__init__(
            search_space=search_space,
            initialize=initialize,
            constraints=constraints,
            random_state=random_state,
            rand_rest_p=rand_rest_p,
            nth_process=nth_process,
        )

        self.optimizers = [self]

    def finish_initialization(self):
        self.search_state = "iter"

    def evaluate(self, score_new):
        if self.pos_best is None:
            self.pos_best = self.pos_new
            self.pos_current = self.pos_new

            self.score_best = score_new
            self.score_current = score_new


1			# Author: Simon Blanke
2			# Email: [email protected]
3			# License: MIT License
4
5
6			from .core_optimizer import CoreOptimizer
7
8
9			class BaseOptimizer(CoreOptimizer):
10			def __init__(
11			self,
12			search_space,
13			initialize={"grid": 4, "random": 2, "vertices": 4},
14			constraints=[],
15			random_state=None,
16			rand_rest_p=0,
17			nth_process=None,
18			):
19			super().__init__(
20			search_space=search_space,
21			initialize=initialize,
22			constraints=constraints,
23			random_state=random_state,
24			rand_rest_p=rand_rest_p,
25			nth_process=nth_process,
26			)
27
28			self.optimizers = [self]
29
30			def finish_initialization(self):
31			self.search_state = "iter"
32
33			def evaluate(self, score_new):
34			if self.pos_best is None:
35			self.pos_best = self.pos_new
36			self.pos_current = self.pos_new
37
38			self.score_best = score_new
39			self.score_current = score_new
40

SimonBlanke / Gradient-Free-Optimizers

BaseOptimizer.__init__() A last analyzed 2025-08-06 16:49 UTC

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BaseOptimizer.init() A
last analyzed 2025-08-06 16:49 UTC