Passed
Push — master ( 9938cf...e83f7b )
by Arkadiusz
05:59
created

ThresholdedReLU::differentiate()   A

Complexity

Conditions 2
Paths 2

Duplication

Lines 0
Ratio 0 %

Size

Total Lines 4
Code Lines 2

Importance

Changes 0
Metric Value
dl 0
loc 4
rs 10
c 0
b 0
f 0
cc 2
eloc 2
nc 2
nop 2
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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 ThresholdedReLU 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 $theta;
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    public function __construct(float $theta = 0.0)
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    {
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        $this->theta = $theta;
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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 $value > $this->theta ? $value : 0.0;
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    }
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    /**
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     * @param float|int $value
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     * @param float|int $calculatedvalue
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     */
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    public function differentiate($value, $calculatedvalue): float
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    {
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        return $calculatedvalue >= $this->theta ? 1.0 : 0.0;
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    }
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}
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