Code Duplication - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 29-29 lines in 2 locations

src/Phpml/NeuralNetwork/ActivationFunction/HyperbolicTangent.php 1 location



use Phpml\NeuralNetwork\ActivationFunction;

class HyperbolicTangent implements ActivationFunction
{
    /**
     * @var float
     */
    private $beta;

    public function __construct(float $beta = 1.0)
    {
        $this->beta = $beta;
    }

    /**
     * @param float|int $value
     */
    public function compute($value): float
    {
        return tanh($this->beta * $value);
    }

    /**
     * @param float|int $value
     * @param float|int $computedvalue
     */
    public function differentiate($value, $computedvalue): float
    {
        return 1 - pow($computedvalue, 2);
    }
}


src/Phpml/NeuralNetwork/ActivationFunction/Sigmoid.php 1 location



use Phpml\NeuralNetwork\ActivationFunction;

class Sigmoid implements ActivationFunction
{
    /**
     * @var float
     */
    private $beta;

    public function __construct(float $beta = 1.0)
    {
        $this->beta = $beta;
    }

    /**
     * @param float|int $value
     */
    public function compute($value): float
    {
        return 1 / (1 + exp(-$this->beta * $value));
    }

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


		@@ 9-37 (lines=29) @@
6
7		use Phpml\NeuralNetwork\ActivationFunction;
8
9		class HyperbolicTangent implements ActivationFunction
10		{
11		/**
12		* @var float
13		*/
14		private $beta;
15
16		public function __construct(float $beta = 1.0)
17		{
18		$this->beta = $beta;
19		}
20
21		/**
22		* @param float\|int $value
23		*/
24		public function compute($value): float
25		{
26		return tanh($this->beta * $value);
27		}
28
29		/**
30		* @param float\|int $value
31		* @param float\|int $computedvalue
32		*/
33		public function differentiate($value, $computedvalue): float
34		{
35		return 1 - pow($computedvalue, 2);
36		}
37		}
38

		@@ 9-37 (lines=29) @@
6
7		use Phpml\NeuralNetwork\ActivationFunction;
8
9		class Sigmoid implements ActivationFunction
10		{
11		/**
12		* @var float
13		*/
14		private $beta;
15
16		public function __construct(float $beta = 1.0)
17		{
18		$this->beta = $beta;
19		}
20
21		/**
22		* @param float\|int $value
23		*/
24		public function compute($value): float
25		{
26		return 1 / (1 + exp(-$this->beta * $value));
27		}
28
29		/**
30		* @param float\|int $value
31		* @param float\|int $computedvalue
32		*/
33		public function differentiate($value, $computedvalue): float
34		{
35		return $computedvalue * (1 - $computedvalue);
36		}
37		}
38

php-ai / php-ml

Code Duplication Length = 29-29 lines in 2 locations

src/Phpml/NeuralNetwork/ActivationFunction/HyperbolicTangent.php 1 location

src/Phpml/NeuralNetwork/ActivationFunction/Sigmoid.php 1 location