gradient_free_optimizers.optimizers.local.stochastic_tunneling - Code Metrics - Inspection of "simpler move_random function + new attributes" - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

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by Simon

created 2020-08-19 18:43 UTC

gradient_free_optimizers.optimizers.local.stochastic_tunneling A

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Complexity

Total Complexity

Size/Duplication

Total Lines	19
Duplicated Lines	0 %

Importance

Changes

Metric	Value
eloc	10
dl	0
loc	19
rs	10
c	0
b	0
f	0
wmc	2

2 Methods

Rating	Name	Duplication	Size	Complexity
A	StochasticTunnelingOptimizer._accept()	0	3	1
A	StochasticTunnelingOptimizer.__init__()	0	2	1

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


import numpy as np

from .simulated_annealing import SimulatedAnnealingOptimizer
from ...search import Search


class StochasticTunnelingOptimizer(SimulatedAnnealingOptimizer, Search):
    def __init__(self, search_space, gamma=0.5, **kwargs):
        super().__init__(search_space, **kwargs)

    def _accept(self):
        f_stun = 1 - np.exp(-self._opt_args_.gamma * self._score_norm())
        return np.exp(-f_stun / self.temp)


1			# Author: Simon Blanke
2			# Email: [email protected]
3			# License: MIT License
4
5
6			import numpy as np
7
8			from .simulated_annealing import SimulatedAnnealingOptimizer
9			from ...search import Search
10
11
12			class StochasticTunnelingOptimizer(SimulatedAnnealingOptimizer, Search):
13			def __init__(self, search_space, gamma=0.5, **kwargs):
14			super().__init__(search_space, **kwargs)
15
16			def _accept(self):
17			f_stun = 1 - np.exp(-self._opt_args_.gamma * self._score_norm())
18			return np.exp(-f_stun / self.temp)
19

SimonBlanke / Gradient-Free-Optimizers

Push — master ( d39371...69bf6f )

gradient_free_optimizers.optimizers.local.stochastic_tunneling A

Complexity

Size/Duplication

Importance

2 Methods

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