Gaussian::pdf() - Code Metrics - Inspection of "One-v-Rest Classification technique applied to lin..." - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Test Failed

Branch — master (01bb82)

by Arkadiusz

created 2017-03-05 15:35 UTC

Gaussian::pdf() A

↳ Parent: Gaussian

Complexity

Conditions	1
Paths	1

Size

Total Lines	8
Code Lines	4

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
dl	0
loc	8
rs	9.4285
c	0
b	0
f	0
cc	1
eloc	4
nc	1
nop	1

<?php

declare(strict_types=1);

namespace Phpml\Math\Statistic;

class Gaussian
{
    /**
     * @var float
     */
    protected $mean;

    /**
     * @var float
     */
    protected $std;

    /**
     * @param float $mean
     * @param float $std
     */
    public function __construct(float $mean, float $std)
    {
        $this->mean = $mean;
        $this->std = $std;
    }

    /**
     * Returns probability density of the given <i>$value</i>
     *
     * @param float $value
     *
     * @return type
     */
    public function pdf(float $value)
    {
        // Calculate the probability density by use of normal/Gaussian distribution
        // Ref: https://en.wikipedia.org/wiki/Normal_distribution
        $std2 = $this->std ** 2;
        $mean = $this->mean;
        return exp(- (($value - $mean) ** 2) / (2 * $std2)) / sqrt(2 * $std2 * pi());
    }

    /**
     * Returns probability density value of the given <i>$value</i> based on
     * given standard deviation and the mean
     *
     * @param float $mean
     * @param float $std
     * @param float $value
     *
     * @return float
     */
    public static function distributionPdf(float $mean, float $std, float $value)
    {
        $normal = new self($mean, $std);
        return $normal->pdf($value);
    }
}


1			<?php
2
3			declare(strict_types=1);
4
5			namespace Phpml\Math\Statistic;
6
7			class Gaussian
8			{
9			/**
10			* @var float
11			*/
12			protected $mean;
13
14			/**
15			* @var float
16			*/
17			protected $std;
18
19			/**
20			* @param float $mean
21			* @param float $std
22			*/
23			public function __construct(float $mean, float $std)
24			{
25			$this->mean = $mean;
26			$this->std = $std;
27			}
28
29			/**
30			* Returns probability density of the given <i>$value</i>
31			*
32			* @param float $value
33			*
34			* @return type
35			*/
36			public function pdf(float $value)
37			{
38			// Calculate the probability density by use of normal/Gaussian distribution
39			// Ref: https://en.wikipedia.org/wiki/Normal_distribution
40			$std2 = $this->std ** 2;
41			$mean = $this->mean;
42			return exp(- (($value - $mean) ** 2) / (2 * $std2)) / sqrt(2 * $std2 * pi());
43			}
44
45			/**
46			* Returns probability density value of the given <i>$value</i> based on
47			* given standard deviation and the mean
48			*
49			* @param float $mean
50			* @param float $std
51			* @param float $value
52			*
53			* @return float
54			*/
55			public static function distributionPdf(float $mean, float $std, float $value)
56			{
57			$normal = new self($mean, $std);
58			return $normal->pdf($value);
59			}
60			}
61

php-ai / php-ml

Branch — master (01bb82)

Gaussian::pdf() A

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