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Long Term Support Release
1 <?php 2 3 declare(strict_types=1); 4 5 namespace Phpml\SupportVectorMachine; 6 7 use Phpml\Exception\InvalidArgumentException; 8 9 class DataTransformer 10 { 11 public static function trainingSet(array $samples, array $labels, bool $targets = false): string 12 { 13 $set = ''; 14 $numericLabels = []; 15 16 if (!$targets) { 17 $numericLabels = self::numericLabels($labels); 18 } 19 20 foreach ($labels as $index => $label) { 21 $set .= sprintf('%s %s %s', ($targets ? $label : $numericLabels[$label]), self::sampleRow($samples[$index]), PHP_EOL); 22 } 23 24 return $set; 25 } 26 27 public static function testSet(array $samples): string 28 { 29 if (count($samples) === 0) { 30 throw new InvalidArgumentException('The array has zero elements'); 31 } 32 33 if (!is_array($samples[0])) { 34 $samples = [$samples]; 35 } 36 37 $set = ''; 38 foreach ($samples as $sample) { 39 $set .= sprintf('0 %s %s', self::sampleRow($sample), PHP_EOL); 40 } 41 42 return $set; 43 } 44 45 public static function predictions(string $rawPredictions, array $labels): array 46 { 47 $numericLabels = self::numericLabels($labels); 48 $results = []; 49 foreach (explode(PHP_EOL, $rawPredictions) as $result) { 50 if (isset($result[0])) { 51 $results[] = array_search((int) $result, $numericLabels, true); 52 } 53 } 54 55 return $results; 56 } 57 58 public static function probabilities(string $rawPredictions, array $labels): array 59 { 60 $numericLabels = self::numericLabels($labels); 61 62 $predictions = explode(PHP_EOL, trim($rawPredictions)); 63 64 $header = array_shift($predictions); 65 $headerColumns = explode(' ', (string) $header); 66 array_shift($headerColumns); 67 68 $columnLabels = []; 69 foreach ($headerColumns as $numericLabel) { 70 $columnLabels[] = array_search((int) $numericLabel, $numericLabels, true); 71 } 72 73 $results = []; 74 foreach ($predictions as $rawResult) { 75 $probabilities = explode(' ', $rawResult); 76 array_shift($probabilities); 77 78 $result = []; 79 foreach ($probabilities as $i => $prob) { 80 $result[$columnLabels[$i]] = (float) $prob; 81 } 82 83 $results[] = $result; 84 } 85 86 return $results; 87 } 88 89 public static function numericLabels(array $labels): array 90 { 91 $numericLabels = []; 92 foreach ($labels as $label) { 93 if (isset($numericLabels[$label])) { 94 continue; 95 } 96 97 $numericLabels[$label] = count($numericLabels); 98 } 99 100 return $numericLabels; 101 } 102 103 private static function sampleRow(array $sample): string 104 { 105 $row = []; 106 foreach ($sample as $index => $feature) { 107 $row[] = sprintf('%s:%F', $index + 1, $feature); 108 } 109 110 return implode(' ', $row); 111 } 112 }
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