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* travis: move coveralls here, decouple from package * composer: use PSR4 * phpunit: simpler config * travis: add ecs run * composer: add ecs dev * use standard vendor/bin directory for dependency bins, confuses with local bins and require gitignore handling * ecs: add PSR2 * [cs] PSR2 spacing fixes * [cs] PSR2 class name fix * [cs] PHP7 fixes - return semicolon spaces, old rand functions, typehints * [cs] fix less strict typehints * fix typehints to make tests pass * ecs: ignore typehint-less elements * [cs] standardize arrays * [cs] standardize docblock, remove unused comments * [cs] use self where possible * [cs] sort class elements, from public to private * [cs] do not use yoda (found less yoda-cases, than non-yoda) * space * [cs] do not assign in condition * [cs] use namespace imports if possible * [cs] use ::class over strings * [cs] fix defaults for arrays properties, properties and constants single spacing * cleanup ecs comments * [cs] use item per line in multi-items array * missing line * misc * rebase
52 lines
2.1 KiB
PHP
52 lines
2.1 KiB
PHP
<?php
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declare(strict_types=1);
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namespace tests\Phpml\DimensionReduction;
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use Phpml\DimensionReduction\KernelPCA;
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use PHPUnit\Framework\TestCase;
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class KernelPCATest extends TestCase
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{
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public function testKernelPCA(): void
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{
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// Acceptable error
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$epsilon = 0.001;
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// A simple example whose result is known beforehand
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$data = [
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[2, 2], [1.5, 1], [1., 1.5], [1., 1.],
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[2., 1.], [2, 2.5], [2., 3.], [1.5, 3],
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[1., 2.5], [1., 2.7], [1., 3.], [1, 3],
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[1, 2], [1.5, 2], [1.5, 2.2], [1.3, 1.7],
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[1.7, 1.3], [1.5, 1.5], [1.5, 1.6], [1.6, 2],
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[1.7, 2.1], [1.3, 1.3], [1.3, 2.2], [1.4, 2.4],
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];
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$transformed = [
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[0.016485613899708], [-0.089805657741674], [-0.088695974245924], [-0.069761503810802],
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[-0.068049558133392], [-0.054702087779187], [-0.063229228729333], [-0.06852813588679],
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[-0.10098315410297], [-0.15617881000654], [-0.21266832077299], [-0.21266832077299],
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[-0.039234518840831], [0.40858295942991], [0.40110375047242], [-0.10555116296691],
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[-0.13128352866095], [-0.20865959471756], [-0.17531601535848], [0.4240660966961],
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[0.36351946685163], [-0.14334173054136], [0.22454914091011], [0.15035027480881], ];
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$kpca = new KernelPCA(KernelPCA::KERNEL_RBF, null, 1, 15);
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$reducedData = $kpca->fit($data);
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// Due to the fact that the sign of values can be flipped
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// during the calculation of eigenValues, we have to compare
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// absolute value of the values
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array_map(function ($val1, $val2) use ($epsilon): void {
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$this->assertEquals(abs($val1), abs($val2), '', $epsilon);
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}, $transformed, $reducedData);
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// Fitted KernelPCA object can also transform an arbitrary sample of the
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// same dimensionality with the original dataset
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$newData = [1.25, 2.25];
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$newTransformed = [0.18956227539216];
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$newTransformed2 = $kpca->transform($newData);
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$this->assertEquals(abs($newTransformed[0]), abs($newTransformed2[0]), '', $epsilon);
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}
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}
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