php-ml/src/Phpml/Classifier/KNearestNeighbors.php

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<?php
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declare (strict_types = 1);
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namespace Phpml\Classifier;
use Phpml\Metric\Distance;
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class KNearestNeighbors implements Classifier
{
/**
* @var int
*/
private $k;
/**
* @var array
*/
private $samples;
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/**
* @var array
*/
private $labels;
/**
* @param int $k
*/
public function __construct(int $k = 3)
{
$this->k = $k;
$this->samples = [];
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$this->labels = [];
}
/**
* @param array $samples
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* @param array $labels
*/
public function train(array $samples, array $labels)
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{
$this->samples = $samples;
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$this->labels = $labels;
}
/**
* @param array $samples
*
* @return mixed
*/
public function predict(array $samples)
{
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if (!is_array($samples[0])) {
$predicted = $this->predictSample($samples);
} else {
$predicted = [];
foreach ($samples as $index => $sample) {
$predicted[$index] = $this->predictSample($sample);
}
}
return $predicted;
}
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/**
* @param array $sample
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*
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* @return mixed
*/
private function predictSample(array $sample)
{
$distances = $this->kNeighborsDistances($sample);
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$predictions = array_combine(array_values($this->labels), array_fill(0, count($this->labels), 0));
foreach ($distances as $index => $distance) {
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++$predictions[$this->labels[$index]];
}
arsort($predictions);
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reset($predictions);
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return key($predictions);
}
/**
* @param array $sample
*
* @return array
*
* @throws \Phpml\Exception\InvalidArgumentException
*/
private function kNeighborsDistances(array $sample): array
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{
$distances = [];
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foreach ($this->samples as $index => $neighbor) {
$distances[$index] = Distance::euclidean($sample, $neighbor);
}
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asort($distances);
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return array_slice($distances, 0, $this->k, true);
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}
}