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<?php declare(strict_types=1); namespace Phpml\Metric; use Phpml\Exception\InvalidArgumentException; use Phpml\Math\Statistic\Correlation; use Phpml\Math\Statistic\Mean; final class Regression { public static function meanSquaredError(array $targets, array $predictions): float { self::assertCountEquals($targets, $predictions); $errors = []; foreach ($targets as $index => $target) { $errors[] = (($target - $predictions[$index]) ** 2); } return Mean::arithmetic($errors); } public static function meanSquaredLogarithmicError(array $targets, array $predictions): float { self::assertCountEquals($targets, $predictions); $errors = []; foreach ($targets as $index => $target) { $errors[] = log((1 + $target) / (1 + $predictions[$index])) ** 2; } return Mean::arithmetic($errors); } public static function meanAbsoluteError(array $targets, array $predictions): float { self::assertCountEquals($targets, $predictions); $errors = []; foreach ($targets as $index => $target) { $errors[] = abs($target - $predictions[$index]); } return Mean::arithmetic($errors); } public static function medianAbsoluteError(array $targets, array $predictions): float { self::assertCountEquals($targets, $predictions); $errors = []; foreach ($targets as $index => $target) { $errors[] = abs($target - $predictions[$index]); } return (float) Mean::median($errors); } public static function r2Score(array $targets, array $predictions): float { self::assertCountEquals($targets, $predictions); return Correlation::pearson($targets, $predictions) ** 2; } public static function maxError(array $targets, array $predictions): float { self::assertCountEquals($targets, $predictions); $errors = []; foreach ($targets as $index => $target) { $errors[] = abs($target - $predictions[$index]); } return (float) max($errors); } private static function assertCountEquals(array &$targets, array &$predictions): void { if (count($targets) !== count($predictions)) { throw new InvalidArgumentException('Targets count must be equal with predictions count'); } } }
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