Sigmoid::compute()   A
last analyzed

Complexity

Conditions 1
Paths 1

Size

Total Lines 3
Code Lines 1

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
eloc 1
dl 0
loc 3
rs 10
c 0
b 0
f 0
cc 1
nc 1
nop 1
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<?php
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declare(strict_types=1);
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namespace Phpml\NeuralNetwork\ActivationFunction;
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use Phpml\NeuralNetwork\ActivationFunction;
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class Sigmoid implements ActivationFunction
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{
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    /**
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     * @var float
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     */
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    private $beta;
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    public function __construct(float $beta = 1.0)
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    {
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        $this->beta = $beta;
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    }
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    /**
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     * @param float|int $value
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     */
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    public function compute($value): float
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    {
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        return 1 / (1 + exp(-$this->beta * $value));
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    }
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    /**
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     * @param float|int $value
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     * @param float|int $computedvalue
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     */
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    public function differentiate($value, $computedvalue): float
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    {
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        return $computedvalue * (1 - $computedvalue);
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    }
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}
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