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<?php |
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declare(strict_types=1); |
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namespace Phpml\SupportVectorMachine; |
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use Phpml\Exception\InvalidArgumentException; |
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class DataTransformer |
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{ |
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public static function trainingSet(array $samples, array $labels, bool $targets = false): string |
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{ |
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$set = ''; |
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$numericLabels = []; |
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if (!$targets) { |
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$numericLabels = self::numericLabels($labels); |
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} |
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// Locale needs to be set to en, because libsvm only accepts dots as decimal points. |
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$oldlocale = setlocale(LC_NUMERIC, "0"); |
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setlocale(LC_NUMERIC, 'en'); |
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foreach ($labels as $index => $label) { |
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$set .= sprintf('%s %s %s', ($targets ? $label : $numericLabels[$label]), self::sampleRow($samples[$index]), PHP_EOL); |
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} |
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setlocale(LC_NUMERIC, $oldlocale); |
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return $set; |
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} |
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public static function testSet(array $samples): string |
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{ |
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if (empty($samples)) { |
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throw new InvalidArgumentException('The array has zero elements'); |
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} |
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if (!is_array($samples[0])) { |
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$samples = [$samples]; |
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} |
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// Locale needs to be set to en, because libsvm only accepts dots as decimal points. |
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$oldlocale = setlocale(LC_NUMERIC, "0"); |
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setlocale(LC_NUMERIC, 'en'); |
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$set = ''; |
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foreach ($samples as $sample) { |
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$set .= sprintf('0 %s %s', self::sampleRow($sample), PHP_EOL); |
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} |
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setlocale(LC_NUMERIC, $oldlocale); |
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return $set; |
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} |
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public static function predictions(string $rawPredictions, array $labels): array |
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{ |
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$numericLabels = self::numericLabels($labels); |
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$results = []; |
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foreach (explode(PHP_EOL, $rawPredictions) as $result) { |
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if (isset($result[0])) { |
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$results[] = array_search((int) $result, $numericLabels, true); |
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} |
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} |
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return $results; |
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} |
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public static function probabilities(string $rawPredictions, array $labels): array |
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{ |
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$numericLabels = self::numericLabels($labels); |
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$predictions = explode(PHP_EOL, trim($rawPredictions)); |
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$header = array_shift($predictions); |
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$headerColumns = explode(' ', $header); |
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array_shift($headerColumns); |
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$columnLabels = []; |
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foreach ($headerColumns as $numericLabel) { |
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$columnLabels[] = array_search((int) $numericLabel, $numericLabels, true); |
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} |
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$results = []; |
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foreach ($predictions as $rawResult) { |
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$probabilities = explode(' ', $rawResult); |
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array_shift($probabilities); |
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$result = []; |
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foreach ($probabilities as $i => $prob) { |
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$result[$columnLabels[$i]] = (float) $prob; |
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} |
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$results[] = $result; |
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} |
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return $results; |
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} |
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public static function numericLabels(array $labels): array |
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{ |
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$numericLabels = []; |
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foreach ($labels as $label) { |
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if (isset($numericLabels[$label])) { |
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continue; |
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} |
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$numericLabels[$label] = count($numericLabels); |
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} |
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return $numericLabels; |
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} |
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private static function sampleRow(array $sample): string |
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{ |
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$row = []; |
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foreach ($sample as $index => $feature) { |
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$row[] = sprintf('%s:%s', $index + 1, $feature); |
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} |
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return implode(' ', $row); |
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} |
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} |
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php-ai /
php-ml
