Phpml\NeuralNetwork\ActivationFunction\BinaryStep

Complexity

Total Complexity

5

Size/Duplication

Total Lines	23
Duplicated Lines	0 %

Coupling/Cohesion

Components	0
Dependencies	0

Importance

Changes

0

2 Methods

Rating	Name	Duplication	Size	Complexity
A	compute()	0	4	2
A	differentiate()	0	8	3

<?php

declare(strict_types=1);

namespace Phpml\NeuralNetwork\ActivationFunction;

use Phpml\NeuralNetwork\ActivationFunction;

class BinaryStep implements ActivationFunction
{
    /**
     * @param float|int $value
     */
    public function compute($value): float
    {
        return $value >= 0 ? 1.0 : 0.0;
    }

    /**
     * @param float|int $value
     * @param float|int $computedvalue
     */
    public function differentiate($value, $computedvalue): float
    {
        if ($value === 0 || $value === 0.0) {
            return 1;
        }

        return 0;
    }
}