SupportVectorMachine::train() - Code Metrics - Inspection of "php-cs-fixer" - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Completed

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by Arkadiusz

created 2016-05-04 19:48 UTC

SupportVectorMachine::train() A

↳ Parent: SupportVectorMachine

Complexity

Conditions	1
Paths	1

Size

Total Lines	5
Code Lines	3

Duplication

Lines	0
Ratio	0 %

Importance

Changes	1
Bugs	0	Features	0

Metric	Value
c	1
b	0
f	0
dl	0
loc	5
rs	9.4285
cc	1
eloc	3
nc	1
nop	2

<?php

declare (strict_types = 1);

namespace Phpml\Classification;

use Phpml\Classification\Traits\Predictable;
use Phpml\Classification\Traits\Trainable;
use Phpml\Math\Kernel;

class SupportVectorMachine implements Classifier
{
    use Trainable, Predictable;

    /**
     * @var Kernel
     */
    private $kernel;

    /**
     * @var float
     */
    private $C;

    /**
     * @var float
     */
    private $tolerance;

    /**
     * @var int
     */
    private $upperBound;

    /**
     * @var string
     */
    private $binPath;


    /**
     * @param Kernel $kernel
     * @param float  $C
     * @param float  $tolerance
     * @param int    $upperBound
     */
    public function __construct(Kernel $kernel = null, float $C = 1.0, float $tolerance = .001, int $upperBound = 100)
    {
        if (null === $kernel) {
            $kernel = new Kernel\RBF($gamma = .001);
        }

        $this->kernel = $kernel;
        $this->C = $C;
        $this->tolerance = $tolerance;
        $this->upperBound = $upperBound;
    }

    /**
     * @param array $samples
     * @param array $labels
     */
    public function train(array $samples, array $labels)
    {
        $this->samples = $samples;
        $this->labels = $labels;
    }

    /**
     * @param array $sample
     *
     * @return mixed
     */
    protected function predictSample(array $sample)

    {
    }
}


1			<?php
2
3			declare (strict_types = 1);
4
5			namespace Phpml\Classification;
6
7			use Phpml\Classification\Traits\Predictable;
8			use Phpml\Classification\Traits\Trainable;
9			use Phpml\Math\Kernel;
10
11			class SupportVectorMachine implements Classifier
12			{
13			use Trainable, Predictable;
14
15			/**
16			* @var Kernel
17			*/
18			private $kernel;
19
20			/**
21			* @var float
22			*/
23			private $C;
24
25			/**
26			* @var float
27			*/
28			private $tolerance;
29
30			/**
31			* @var int
32			*/
33			private $upperBound;
34
35			/**
36			* @var string
37			*/
38			private $binPath;
			0 ignored issues – show Unused Code introduced 2016-05-04 19:51 UTC by Report Bug Copy Issue Report The property `$binPath` is not used and could be removed. This check marks private properties in classes that are never used. Those properties can be removed. Loading history...
39
40			/**
41			* @param Kernel $kernel
42			* @param float $C
43			* @param float $tolerance
44			* @param int $upperBound
45			*/
46			public function __construct(Kernel $kernel = null, float $C = 1.0, float $tolerance = .001, int $upperBound = 100)
47			{
48			if (null === $kernel) {
49			$kernel = new Kernel\RBF($gamma = .001);
50			}
51
52			$this->kernel = $kernel;
53			$this->C = $C;
54			$this->tolerance = $tolerance;
55			$this->upperBound = $upperBound;
56			}
57
58			/**
59			* @param array $samples
60			* @param array $labels
61			*/
62			public function train(array $samples, array $labels)
63			{
64			$this->samples = $samples;
65			$this->labels = $labels;
66			}
67
68			/**
69			* @param array $sample
70			*
71			* @return mixed
72			*/
73			protected function predictSample(array $sample)
			0 ignored issues – show Unused Code introduced 2016-04-19 20:56 UTC by Report Bug Copy Issue Report The parameter `$sample` is not used and could be removed. This check looks from parameters that have been defined for a function or method, but which are not used in the method body. Loading history...
74			{
75			}
76			}
77

php-ai / php-ml

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SupportVectorMachine::train() A

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