SupportVectorMachine::__construct() - Code Metrics - Inspection of "Run newest php-cs-fixer (#108)" - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( 08d974...07041e )

by Arkadiusz

created 2017-07-26 06:24 UTC

SupportVectorMachine::__construct() B

↳ Parent: SupportVectorMachine

Complexity

Conditions	1
Paths	1

Size

Total Lines	32
Code Lines	28

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
dl	0
loc	32
rs	8.8571
c	0
b	0
f	0
cc	1
eloc	28
nc	1
nop	12

How to fix Many Parameters

<?php

declare(strict_types=1);

namespace Phpml\SupportVectorMachine;

use Phpml\Helper\Trainable;

class SupportVectorMachine
{
    use Trainable;

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

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

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

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

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

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

    /**
     * @var float
     */
    private $coef0;

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

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

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

    /**
     * @var bool
     */
    private $shrinking;

    /**
     * @var bool
     */
    private $probabilityEstimates;

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

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

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

    /**
     * @var array
     */
    private $targets = [];

    /**
     * @param int        $type
     * @param int        $kernel
     * @param float      $cost
     * @param float      $nu
     * @param int        $degree
     * @param float|null $gamma
     * @param float      $coef0
     * @param float      $epsilon
     * @param float      $tolerance
     * @param int        $cacheSize
     * @param bool       $shrinking
     * @param bool       $probabilityEstimates
     */
    public function __construct(
        int $type,
        int $kernel,
        float $cost = 1.0,
        float $nu = 0.5,
        int $degree = 3,
        float $gamma = null,
        float $coef0 = 0.0,
        float $epsilon = 0.1,
        float $tolerance = 0.001,
        int $cacheSize = 100,
        bool $shrinking = true,
        bool $probabilityEstimates = false
    ) {
        $this->type = $type;
        $this->kernel = $kernel;
        $this->cost = $cost;
        $this->nu = $nu;
        $this->degree = $degree;
        $this->gamma = $gamma;
        $this->coef0 = $coef0;
        $this->epsilon = $epsilon;
        $this->tolerance = $tolerance;
        $this->cacheSize = $cacheSize;
        $this->shrinking = $shrinking;
        $this->probabilityEstimates = $probabilityEstimates;

        $rootPath = realpath(implode(DIRECTORY_SEPARATOR, [__DIR__, '..', '..', '..'])).DIRECTORY_SEPARATOR;

        $this->binPath = $rootPath.'bin'.DIRECTORY_SEPARATOR.'libsvm'.DIRECTORY_SEPARATOR;
        $this->varPath = $rootPath.'var'.DIRECTORY_SEPARATOR;
    }

    /**
     * @param string $binPath
     *
     * @return $this
     */
    public function setBinPath(string $binPath)
    {
        $this->binPath = $binPath;

        return $this;
    }

    /**
     * @param string $varPath
     *
     * @return $this
     */
    public function setVarPath(string $varPath)
    {
        $this->varPath = $varPath;

        return $this;
    }

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

        $trainingSet = DataTransformer::trainingSet($this->samples, $this->targets, in_array($this->type, [Type::EPSILON_SVR, Type::NU_SVR]));
        file_put_contents($trainingSetFileName = $this->varPath.uniqid('phpml', true), $trainingSet);
        $modelFileName = $trainingSetFileName.'-model';

        $command = $this->buildTrainCommand($trainingSetFileName, $modelFileName);
        $output = '';
        exec(escapeshellcmd($command), $output);

        $this->model = file_get_contents($modelFileName);

        unlink($trainingSetFileName);
        unlink($modelFileName);
    }

    /**
     * @return string
     */
    public function getModel()
    {
        return $this->model;
    }

    /**
     * @param array $samples
     *
     * @return array
     */
    public function predict(array $samples)
    {
        $testSet = DataTransformer::testSet($samples);
        file_put_contents($testSetFileName = $this->varPath.uniqid('phpml', true), $testSet);
        file_put_contents($modelFileName = $testSetFileName.'-model', $this->model);
        $outputFileName = $testSetFileName.'-output';

        $command = sprintf('%ssvm-predict%s %s %s %s', $this->binPath, $this->getOSExtension(), $testSetFileName, $modelFileName, $outputFileName);
        $output = '';
        exec(escapeshellcmd($command), $output);

        $predictions = file_get_contents($outputFileName);

        unlink($testSetFileName);
        unlink($modelFileName);
        unlink($outputFileName);

        if (in_array($this->type, [Type::C_SVC, Type::NU_SVC])) {
            $predictions = DataTransformer::predictions($predictions, $this->targets);
        } else {
            $predictions = explode(PHP_EOL, trim($predictions));
        }

        if (!is_array($samples[0])) {
            return $predictions[0];
        }

        return $predictions;
    }

    /**
     * @return string
     */
    private function getOSExtension()
    {
        $os = strtoupper(substr(PHP_OS, 0, 3));
        if ($os === 'WIN') {
            return '.exe';
        } elseif ($os === 'DAR') {
            return '-osx';
        }

        return '';
    }

    /**
     * @param string $trainingSetFileName
     * @param string $modelFileName
     *
     * @return string
     */
    private function buildTrainCommand(string $trainingSetFileName, string $modelFileName): string
    {
        return sprintf(
            '%ssvm-train%s -s %s -t %s -c %s -n %s -d %s%s -r %s -p %s -m %s -e %s -h %d -b %d %s %s',
            $this->binPath,
            $this->getOSExtension(),
            $this->type,
            $this->kernel,
            $this->cost,
            $this->nu,
            $this->degree,
            $this->gamma !== null ? ' -g '.$this->gamma : '',
            $this->coef0,
            $this->epsilon,
            $this->cacheSize,
            $this->tolerance,
            $this->shrinking,
            $this->probabilityEstimates,
            escapeshellarg($trainingSetFileName),
            escapeshellarg($modelFileName)
        );
    }
}


1			<?php
2
3			declare(strict_types=1);
4
5			namespace Phpml\SupportVectorMachine;
6
7			use Phpml\Helper\Trainable;
8
9			class SupportVectorMachine
10			{
11			use Trainable;
12
13			/**
14			* @var int
15			*/
16			private $type;
17
18			/**
19			* @var int
20			*/
21			private $kernel;
22
23			/**
24			* @var float
25			*/
26			private $cost;
27
28			/**
29			* @var float
30			*/
31			private $nu;
32
33			/**
34			* @var int
35			*/
36			private $degree;
37
38			/**
39			* @var float
40			*/
41			private $gamma;
42
43			/**
44			* @var float
45			*/
46			private $coef0;
47
48			/**
49			* @var float
50			*/
51			private $epsilon;
52
53			/**
54			* @var float
55			*/
56			private $tolerance;
57
58			/**
59			* @var int
60			*/
61			private $cacheSize;
62
63			/**
64			* @var bool
65			*/
66			private $shrinking;
67
68			/**
69			* @var bool
70			*/
71			private $probabilityEstimates;
72
73			/**
74			* @var string
75			*/
76			private $binPath;
77
78			/**
79			* @var string
80			*/
81			private $varPath;
82
83			/**
84			* @var string
85			*/
86			private $model;
87
88			/**
89			* @var array
90			*/
91			private $targets = [];
92
93			/**
94			* @param int $type
95			* @param int $kernel
96			* @param float $cost
97			* @param float $nu
98			* @param int $degree
99			* @param float\|null $gamma
100			* @param float $coef0
101			* @param float $epsilon
102			* @param float $tolerance
103			* @param int $cacheSize
104			* @param bool $shrinking
105			* @param bool $probabilityEstimates
106			*/
107			public function __construct(
108			int $type,
109			int $kernel,
110			float $cost = 1.0,
111			float $nu = 0.5,
112			int $degree = 3,
113			float $gamma = null,
114			float $coef0 = 0.0,
115			float $epsilon = 0.1,
116			float $tolerance = 0.001,
117			int $cacheSize = 100,
118			bool $shrinking = true,
119			bool $probabilityEstimates = false
120			) {
121			$this->type = $type;
122			$this->kernel = $kernel;
123			$this->cost = $cost;
124			$this->nu = $nu;
125			$this->degree = $degree;
126			$this->gamma = $gamma;
127			$this->coef0 = $coef0;
128			$this->epsilon = $epsilon;
129			$this->tolerance = $tolerance;
130			$this->cacheSize = $cacheSize;
131			$this->shrinking = $shrinking;
132			$this->probabilityEstimates = $probabilityEstimates;
133
134			$rootPath = realpath(implode(DIRECTORY_SEPARATOR, [__DIR__, '..', '..', '..'])).DIRECTORY_SEPARATOR;
135
136			$this->binPath = $rootPath.'bin'.DIRECTORY_SEPARATOR.'libsvm'.DIRECTORY_SEPARATOR;
137			$this->varPath = $rootPath.'var'.DIRECTORY_SEPARATOR;
138			}
139
140			/**
141			* @param string $binPath
142			*
143			* @return $this
144			*/
145			public function setBinPath(string $binPath)
146			{
147			$this->binPath = $binPath;
148
149			return $this;
150			}
151
152			/**
153			* @param string $varPath
154			*
155			* @return $this
156			*/
157			public function setVarPath(string $varPath)
158			{
159			$this->varPath = $varPath;
160
161			return $this;
162			}
163
164			/**
165			* @param array $samples
166			* @param array $targets
167			*/
168			public function train(array $samples, array $targets)
169			{
170			$this->samples = array_merge($this->samples, $samples);
171			$this->targets = array_merge($this->targets, $targets);
172
173			$trainingSet = DataTransformer::trainingSet($this->samples, $this->targets, in_array($this->type, [Type::EPSILON_SVR, Type::NU_SVR]));
174			file_put_contents($trainingSetFileName = $this->varPath.uniqid('phpml', true), $trainingSet);
175			$modelFileName = $trainingSetFileName.'-model';
176
177			$command = $this->buildTrainCommand($trainingSetFileName, $modelFileName);
178			$output = '';
179			exec(escapeshellcmd($command), $output);
180
181			$this->model = file_get_contents($modelFileName);
182
183			unlink($trainingSetFileName);
184			unlink($modelFileName);
185			}
186
187			/**
188			* @return string
189			*/
190			public function getModel()
191			{
192			return $this->model;
193			}
194
195			/**
196			* @param array $samples
197			*
198			* @return array
199			*/
200			public function predict(array $samples)
201			{
202			$testSet = DataTransformer::testSet($samples);
203			file_put_contents($testSetFileName = $this->varPath.uniqid('phpml', true), $testSet);
204			file_put_contents($modelFileName = $testSetFileName.'-model', $this->model);
205			$outputFileName = $testSetFileName.'-output';
206
207			$command = sprintf('%ssvm-predict%s %s %s %s', $this->binPath, $this->getOSExtension(), $testSetFileName, $modelFileName, $outputFileName);
208			$output = '';
209			exec(escapeshellcmd($command), $output);
210
211			$predictions = file_get_contents($outputFileName);
212
213			unlink($testSetFileName);
214			unlink($modelFileName);
215			unlink($outputFileName);
216
217			if (in_array($this->type, [Type::C_SVC, Type::NU_SVC])) {
218			$predictions = DataTransformer::predictions($predictions, $this->targets);
219			} else {
220			$predictions = explode(PHP_EOL, trim($predictions));
221			}
222
223			if (!is_array($samples[0])) {
224			return $predictions[0];
225			}
226
227			return $predictions;
228			}
229
230			/**
231			* @return string
232			*/
233			private function getOSExtension()
234			{
235			$os = strtoupper(substr(PHP_OS, 0, 3));
236			if ($os === 'WIN') {
237			return '.exe';
238			} elseif ($os === 'DAR') {
239			return '-osx';
240			}
241
242			return '';
243			}
244
245			/**
246			* @param string $trainingSetFileName
247			* @param string $modelFileName
248			*
249			* @return string
250			*/
251			private function buildTrainCommand(string $trainingSetFileName, string $modelFileName): string
252			{
253			return sprintf(
254			'%ssvm-train%s -s %s -t %s -c %s -n %s -d %s%s -r %s -p %s -m %s -e %s -h %d -b %d %s %s',
255			$this->binPath,
256			$this->getOSExtension(),
257			$this->type,
258			$this->kernel,
259			$this->cost,
260			$this->nu,
261			$this->degree,
262			$this->gamma !== null ? ' -g '.$this->gamma : '',
263			$this->coef0,
264			$this->epsilon,
265			$this->cacheSize,
266			$this->tolerance,
267			$this->shrinking,
268			$this->probabilityEstimates,
269			escapeshellarg($trainingSetFileName),
270			escapeshellarg($modelFileName)
271			);
272			}
273			}
274

php-ai / php-ml

Push — master ( 08d974...07041e )

SupportVectorMachine::__construct() B

Complexity

Size

Duplication

Importance

How to fix Many Parameters

Many Parameters

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