Make SVM non-locale aware (#288)

Author: akondas

CHANGELOG.md

@@ -15,6 +15,7 @@ This changelog references the relevant changes done in PHP-ML library.
     * fix ensure DataTransformer::testSet samples array is not empty (#204)
     * fix optimizer initial theta randomization (#239)
     * fix travis build on osx (#281)
+    * fix SVM locale (non-locale aware) (#288)
     * typo, tests, code styles and documentation fixes (#265, #261, #254, #253, #251, #250, #248, #245, #243)
 
 * 0.6.2 (2018-02-22)

src/SupportVectorMachine/DataTransformer.php

@@ -104,7 +104,7 @@ private static function sampleRow(array $sample): string
     {
         $row = [];
         foreach ($sample as $index => $feature) {
-            $row[] = sprintf('%s:%s', $index + 1, $feature);
+            $row[] = sprintf('%s:%F', $index + 1, $feature);
         }
 
         return implode(' ', $row);

src/SupportVectorMachine/SupportVectorMachine.php

@@ -269,7 +269,7 @@ private function getOSExtension(): string
     private function buildTrainCommand(string $trainingSetFileName, string $modelFileName): string
     {
         return sprintf(
-            '%ssvm-train%s -s %s -t %s -c %s -n %s -d %s%s -r %s -p %s -m %s -e %s -h %d -b %d %s %s',
+            '%ssvm-train%s -s %s -t %s -c %s -n %F -d %s%s -r %s -p %F -m %F -e %F -h %d -b %d %s %s',
             $this->binPath,
             $this->getOSExtension(),
             $this->type,

tests/Classification/SVCTest.php

@@ -57,13 +57,32 @@ public function testSaveAndRestore(): void
         $classifier->train($trainSamples, $trainLabels);
         $predicted = $classifier->predict($testSamples);
 
-        $filename = 'svc-test-'.random_int(100, 999).'-'.uniqid();
-        $filepath = tempnam(sys_get_temp_dir(), $filename);
+        $filepath = tempnam(sys_get_temp_dir(), uniqid('svc-test', true));
         $modelManager = new ModelManager();
         $modelManager->saveToFile($classifier, $filepath);
 
         $restoredClassifier = $modelManager->restoreFromFile($filepath);
         $this->assertEquals($classifier, $restoredClassifier);
         $this->assertEquals($predicted, $restoredClassifier->predict($testSamples));
+        $this->assertEquals($predicted, $testLabels);
+    }
+
+    public function testWithNonDotDecimalLocale(): void
+    {
+        $currentLocale = setlocale(LC_NUMERIC, '0');
+        setlocale(LC_NUMERIC, 'pl_PL.utf8');
+
+        $trainSamples = [[1, 3], [1, 4], [2, 4], [3, 1], [4, 1], [4, 2]];
+        $trainLabels = ['a', 'a', 'a', 'b', 'b', 'b'];
+
+        $testSamples = [[3, 2], [5, 1], [4, 3]];
+        $testLabels = ['b', 'b', 'b'];
+
+        $classifier = new SVC(Kernel::LINEAR, $cost = 1000);
+        $classifier->train($trainSamples, $trainLabels);
+
+        $this->assertEquals($classifier->predict($testSamples), $testLabels);
+
+        setlocale(LC_NUMERIC, $currentLocale);
     }
 }

tests/SupportVectorMachine/DataTransformerTest.php

@@ -16,10 +16,10 @@ public function testTransformDatasetToTrainingSet(): void
         $labels = ['a', 'a', 'b', 'b'];
 
         $trainingSet =
-            '0 1:1 2:1 '.PHP_EOL.
-            '0 1:2 2:1 '.PHP_EOL.
-            '1 1:3 2:2 '.PHP_EOL.
-            '1 1:4 2:5 '.PHP_EOL
+            '0 1:1.000000 2:1.000000 '.PHP_EOL.
+            '0 1:2.000000 2:1.000000 '.PHP_EOL.
+            '1 1:3.000000 2:2.000000 '.PHP_EOL.
+            '1 1:4.000000 2:5.000000 '.PHP_EOL
         ;
 
         $this->assertEquals($trainingSet, DataTransformer::trainingSet($samples, $labels));
@@ -30,10 +30,10 @@ public function testTransformSamplesToTestSet(): void
         $samples = [[1, 1], [2, 1], [3, 2], [4, 5]];
 
         $testSet =
-            '0 1:1 2:1 '.PHP_EOL.
-            '0 1:2 2:1 '.PHP_EOL.
-            '0 1:3 2:2 '.PHP_EOL.
-            '0 1:4 2:5 '.PHP_EOL
+            '0 1:1.000000 2:1.000000 '.PHP_EOL.
+            '0 1:2.000000 2:1.000000 '.PHP_EOL.
+            '0 1:3.000000 2:2.000000 '.PHP_EOL.
+            '0 1:4.000000 2:5.000000 '.PHP_EOL
         ;
 
         $this->assertEquals($testSet, DataTransformer::testSet($samples));