mirror of
https://github.com/php-win-ext/php-svm.git
synced 2026-04-24 00:58:15 +02:00
Ian Barber
72 lines
1.2 KiB
PHP
72 lines
1.2 KiB
PHP
--TEST--
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Test for various kernels
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--SKIPIF--
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<?php
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if (!extension_loaded('svm')) die('skip');
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?>
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--FILE--
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<?php
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$data = array(
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"1" => 1,
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2 => -0.731729,
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3 => -0.886786,
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4 => -1,
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5 => 0.230769,
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"6" => -0.25,
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7 => -0.783509,
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8 => 1,
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9 => 1,
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10 => "-0.820896",
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11 => -1,
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13 => -0.92,
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"14" => "-1"
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);
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$kernels = array(
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array(
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SVM::OPT_TYPE => SVM::C_SVC,
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SVM::OPT_KERNEL_TYPE => SVM::KERNEL_POLY,
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),
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array(
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SVM::OPT_TYPE => SVM::ONE_CLASS,
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SVM::OPT_KERNEL_TYPE => SVM::KERNEL_RBF,
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),
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array(
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SVM::OPT_TYPE => SVM::EPSILON_SVR,
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SVM::OPT_KERNEL_TYPE => SVM::KERNEL_SIGMOID,
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),
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array(
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SVM::OPT_TYPE => SVM::NU_SVR,
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SVM::OPT_KERNEL_TYPE => SVM::KERNEL_PRECOMPUTED,
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),
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);
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$svm = new svm();
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foreach($kernels as $kernel) {
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$svm->setOptions($kernel);
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$model = $svm->train(dirname(__FILE__) . '/australian.scale');
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if($model) {
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echo "ok train " . $kernel[SVM::OPT_TYPE] . "\n";
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$result = $model->predict($data);
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if($result != false) {
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echo "ok " . $kernel[SVM::OPT_TYPE] . "\n";
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} else {
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echo "failed: " . $result . "\n";
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}
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} else {
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echo "training failed";
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}
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}
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?>
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--EXPECT--
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ok train 0
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ok 0
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ok train 2
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ok 2
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ok train 3
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ok 3
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ok train 4
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ok 4
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