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<?php declare(strict_types=1); namespace Phpml\Preprocessing; use Phpml\Exception\InvalidArgumentException; final class OneHotEncoder implements Preprocessor { /** * @var bool / private $ignoreUnknown; /* * @var array */ private $categories = []; public function __construct(bool $ignoreUnknown = false) { $this->ignoreUnknown = $ignoreUnknown; } public function fit(array $samples, ?array $targets = null): void { foreach (array_keys(array_values(current($samples))) as $column) { $this->fitColumn($column, array_values(array_unique(array_column($samples, $column)))); } } public function transform(array &$samples, ?array &$targets = null): void { foreach ($samples as &$sample) { $sample = $this->transformSample(array_values($sample)); } } private function fitColumn(int $column, array $values): void { $count = count($values); foreach ($values as $index => $value) { $map = array_fill(0, $count, 0); $map[$index] = 1; $this->categories[$column][$value] = $map; } } private function transformSample(array $sample): array { $encoded = []; foreach ($sample as $column => $feature) { if (!isset($this->categories[$column][$feature]) && !$this->ignoreUnknown) { throw new InvalidArgumentException(sprintf('Missing category "%s" for column %s in trained encoder', $feature, $column)); } $encoded = array_merge( $encoded, $this->categories[$column][$feature] ?? array_fill(0, count($this->categories[$column]), 0) ); } return $encoded; } }

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