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
by
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 |