Sigma::getSigmaForNeuron() - Code Metrics - Inspection of "refactor Backpropagation methods and simplify thin..." - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Completed

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by Arkadiusz

created 2016-08-10 21:03 UTC

Sigma::getSigmaForNeuron() A

↳ Parent: Sigma

Complexity

Conditions	3
Paths	3

Size

Total Lines	12
Code Lines	6

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
dl	0
loc	12
c	0
b	0
f	0
rs	9.4285
cc	3
eloc	6
nc	3
nop	1

<?php

declare (strict_types = 1);

namespace Phpml\NeuralNetwork\Training\Backpropagation;

use Phpml\NeuralNetwork\Node\Neuron;

class Sigma
{
    /**
     * @var Neuron
     */
    private $neuron;

    /**
     * @var float
     */
    private $sigma;

    /**
     * @param Neuron $neuron
     * @param float  $sigma
     */
    public function __construct(Neuron $neuron, $sigma)
    {
        $this->neuron = $neuron;
        $this->sigma = $sigma;
    }

    /**
     * @return Neuron
     */
    public function getNeuron()
    {
        return $this->neuron;
    }

    /**
     * @return float
     */
    public function getSigma()
    {
        return $this->sigma;
    }

    /**
     * @param Neuron $neuron
     *
     * @return float
     */
    public function getSigmaForNeuron(Neuron $neuron): float
    {
        $sigma = 0.0;

        foreach ($this->neuron->getSynapses() as $synapse) {
            if ($synapse->getNode() == $neuron) {
                $sigma += $synapse->getWeight() * $this->getSigma();
            }
        }

        return $sigma;
    }
}


1			<?php
2
3			declare (strict_types = 1);
4
5			namespace Phpml\NeuralNetwork\Training\Backpropagation;
6
7			use Phpml\NeuralNetwork\Node\Neuron;
8
9			class Sigma
10			{
11			/**
12			* @var Neuron
13			*/
14			private $neuron;
15
16			/**
17			* @var float
18			*/
19			private $sigma;
20
21			/**
22			* @param Neuron $neuron
23			* @param float $sigma
24			*/
25			public function __construct(Neuron $neuron, $sigma)
26			{
27			$this->neuron = $neuron;
28			$this->sigma = $sigma;
29			}
30
31			/**
32			* @return Neuron
33			*/
34			public function getNeuron()
35			{
36			return $this->neuron;
37			}
38
39			/**
40			* @return float
41			*/
42			public function getSigma()
43			{
44			return $this->sigma;
45			}
46
47			/**
48			* @param Neuron $neuron
49			*
50			* @return float
51			*/
52			public function getSigmaForNeuron(Neuron $neuron): float
53			{
54			$sigma = 0.0;
55
56			foreach ($this->neuron->getSynapses() as $synapse) {
57			if ($synapse->getNode() == $neuron) {
58			$sigma += $synapse->getWeight() * $this->getSigma();
59			}
60			}
61
62			return $sigma;
63			}
64			}
65

php-ai / php-ml

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Sigma::getSigmaForNeuron() A

Complexity

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Duplication

Importance

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