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<?php |
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declare (strict_types = 1); |
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namespace Phpml\Metric; |
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class ClassificationReport |
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{ |
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/** |
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* @var array |
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*/ |
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private $precision = []; |
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/** |
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* @var array |
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*/ |
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private $recall = []; |
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/** |
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* @var array |
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*/ |
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private $f1score = []; |
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/** |
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* @var array |
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*/ |
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private $support = []; |
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/** |
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* @var array |
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*/ |
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private $average = []; |
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/** |
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* @param array $actualLabels |
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* @param array $predictedLabels |
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*/ |
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public function __construct(array $actualLabels, array $predictedLabels) |
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{ |
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$truePositive = $falsePositive = $falseNegative = $this->support = self::getLabelIndexedArray($actualLabels); |
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foreach ($actualLabels as $index => $actual) { |
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$predicted = $predictedLabels[$index]; |
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++$this->support[$actual]; |
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if ($actual === $predicted) { |
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++$truePositive[$actual]; |
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} else { |
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++$falsePositive[$predicted]; |
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++$falseNegative[$actual]; |
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} |
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} |
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$this->computeMetrics($truePositive, $falsePositive, $falseNegative); |
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$this->computeAverage(); |
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} |
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/** |
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* @return array |
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*/ |
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public function getPrecision() |
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{ |
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return $this->precision; |
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} |
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/** |
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* @return array |
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*/ |
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public function getRecall() |
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{ |
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return $this->recall; |
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} |
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/** |
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* @return array |
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*/ |
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public function getF1score() |
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{ |
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return $this->f1score; |
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} |
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/** |
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* @return array |
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*/ |
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public function getSupport() |
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{ |
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return $this->support; |
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} |
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/** |
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* @return array |
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*/ |
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public function getAverage() |
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{ |
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return $this->average; |
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} |
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/** |
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* @param array $truePositive |
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* @param array $falsePositive |
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* @param array $falseNegative |
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*/ |
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private function computeMetrics(array $truePositive, array $falsePositive, array $falseNegative) |
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{ |
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foreach ($truePositive as $label => $tp) { |
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$this->precision[$label] = $tp / ($tp + $falsePositive[$label]); |
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$this->recall[$label] = $tp / ($tp + $falseNegative[$label]); |
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$this->f1score[$label] = $this->computeF1Score((float) $this->precision[$label], (float) $this->recall[$label]); |
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} |
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} |
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private function computeAverage() |
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{ |
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foreach (['precision', 'recall', 'f1score'] as $metric) { |
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$values = array_filter($this->$metric); |
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$this->average[$metric] = array_sum($values) / count($values); |
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} |
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} |
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/** |
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* @param float $precision |
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* @param float $recall |
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* |
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* @return float |
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*/ |
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private function computeF1Score(float $precision, float $recall): float |
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{ |
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if (0 == ($divider = $precision + $recall)) { |
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return 0.0; |
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} |
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return 2.0 * (($precision * $recall) / ($divider)); |
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} |
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/** |
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* @param array $labels |
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* |
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* @return array |
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*/ |
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private static function getLabelIndexedArray(array $labels): array |
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{ |
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$labels = array_values(array_unique($labels)); |
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sort($labels); |
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$labels = array_combine($labels, array_fill(0, count($labels), 0)); |
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return $labels; |
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} |
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} |
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php-ai /
php-ml
