Phpml\NeuralNetwork\Training\Backpropagation\Sigma

Complexity

Total Complexity

6

Size/Duplication

Total Lines	39
Duplicated Lines	0 %

Importance

Changes

0

4 Methods

Rating	Name	Duplication	Size	Complexity
A	__construct()	0	4	1
A	getNeuron()	0	3	1
A	getSigma()	0	3	1
A	getSigmaForNeuron()	0	11	3

<?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;

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

    public function getNeuron(): Neuron
    {
        return $this->neuron;
    }

    public function getSigma(): float
    {
        return $this->sigma;
    }

    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;
    }
}