MLPClassifier::predictSample() - Code Metrics - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

MLPClassifier::predictSample() A
last analyzed 2020-05-15 05:48 UTC

↳ Parent: MLPClassifier

Complexity

Conditions	3
Paths	3

Size

Total Lines	14
Code Lines	8

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	8
dl	0
loc	14
rs	10
c	0
b	0
f	0
cc	3
nc	3
nop	1

<?php

declare(strict_types=1);

namespace Phpml\Classification;

use Phpml\Exception\InvalidArgumentException;
use Phpml\NeuralNetwork\Network\MultilayerPerceptron;

class MLPClassifier extends MultilayerPerceptron implements Classifier
{
    /**
     * @param mixed $target
     *
     * @throws InvalidArgumentException
     */
    public function getTargetClass($target): int
    {
        if (!in_array($target, $this->classes, true)) {
            throw new InvalidArgumentException(
                sprintf('Target with value "%s" is not part of the accepted classes', $target)
            );
        }

        return array_search($target, $this->classes, true);

    }

    /**
     * @return mixed
     */
    protected function predictSample(array $sample)
    {
        $output = $this->setInput($sample)->getOutput();

        $predictedClass = null;
        $max = 0;
        foreach ($output as $class => $value) {
            if ($value > $max) {
                $predictedClass = $class;
                $max = $value;
            }
        }

        return $predictedClass;
    }

    /**
     * @param mixed $target
     */
    protected function trainSample(array $sample, $target): void
    {
        // Feed-forward.
        $this->setInput($sample);

        // Back-propagate.
        $this->backpropagation->backpropagate($this->getLayers(), $this->getTargetClass($target));
    }
}


1			<?php
2
3			declare(strict_types=1);
4
5			namespace Phpml\Classification;
6
7			use Phpml\Exception\InvalidArgumentException;
8			use Phpml\NeuralNetwork\Network\MultilayerPerceptron;
9
10			class MLPClassifier extends MultilayerPerceptron implements Classifier
11			{
12			/**
13			* @param mixed $target
14			*
15			* @throws InvalidArgumentException
16			*/
17			public function getTargetClass($target): int
18			{
19			if (!in_array($target, $this->classes, true)) {
20			throw new InvalidArgumentException(
21			sprintf('Target with value "%s" is not part of the accepted classes', $target)
22			);
23			}
24
25			return array_search($target, $this->classes, true);
			0 ignored issues – show Bug Best Practice introduced 2019-05-15 06:10 UTC by Report Bug Copy Issue Report The expression `return array_search($tar..., $this->classes, true)` could return the type `false\|string` which is incompatible with the type-hinted return `integer`. Consider adding an additional type-check to rule them out. Loading history...
26			}
27
28			/**
29			* @return mixed
30			*/
31			protected function predictSample(array $sample)
32			{
33			$output = $this->setInput($sample)->getOutput();
34
35			$predictedClass = null;
36			$max = 0;
37			foreach ($output as $class => $value) {
38			if ($value > $max) {
39			$predictedClass = $class;
40			$max = $value;
41			}
42			}
43
44			return $predictedClass;
45			}
46
47			/**
48			* @param mixed $target
49			*/
50			protected function trainSample(array $sample, $target): void
51			{
52			// Feed-forward.
53			$this->setInput($sample);
54
55			// Back-propagate.
56			$this->backpropagation->backpropagate($this->getLayers(), $this->getTargetClass($target));
57			}
58			}
59

php-ai / php-ml

MLPClassifier::predictSample() A last analyzed 2020-05-15 05:48 UTC

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MLPClassifier::predictSample() A
last analyzed 2020-05-15 05:48 UTC