mirror of
https://github.com/Llewellynvdm/php-ml.git
synced 2024-11-22 21:15:10 +00:00
282 lines
8.3 KiB
PHP
282 lines
8.3 KiB
PHP
<?php
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declare(strict_types=1);
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namespace Phpml\Tests\Association;
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use Phpml\Association\Apriori;
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use Phpml\ModelManager;
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use PHPUnit\Framework\TestCase;
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use ReflectionClass;
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class AprioriTest extends TestCase
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{
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/**
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* @var array
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*/
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private $sampleGreek = [
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['alpha', 'beta', 'epsilon'],
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['alpha', 'beta', 'theta'],
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['alpha', 'beta', 'epsilon'],
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['alpha', 'beta', 'theta'],
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];
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/**
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* @var array
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*/
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private $sampleChars = [
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['E', 'D', 'N', 'E+N', 'EN'],
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['E', 'R', 'N', 'E+R', 'E+N', 'ER', 'EN'],
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['D', 'R'],
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['E', 'D', 'N', 'E+N'],
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['E', 'R', 'N', 'E+R', 'E+N', 'ER'],
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['E', 'D', 'R', 'E+R', 'ER'],
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['E', 'D', 'N', 'E+N', 'EN'],
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['E', 'R', 'E+R'],
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['E'],
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['N'],
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];
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/**
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* @var array
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*/
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private $sampleBasket = [
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[1, 2, 3, 4],
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[1, 2, 4],
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[1, 2],
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[2, 3, 4],
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[2, 3],
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[3, 4],
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[2, 4],
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];
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public function testGreek(): void
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{
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$apriori = new Apriori(0.5, 0.5);
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$apriori->train($this->sampleGreek, []);
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$predicted = $apriori->predict([['alpha', 'epsilon'], ['beta', 'theta']]);
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self::assertCount(2, $predicted);
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self::assertEquals([['beta']], $predicted[0]);
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self::assertEquals([['alpha']], $predicted[1]);
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}
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public function testPowerSet(): void
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{
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$apriori = new Apriori();
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self::assertCount(8, self::invoke($apriori, 'powerSet', [['a', 'b', 'c']]));
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}
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public function testApriori(): void
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{
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$apriori = new Apriori(3 / 7);
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$apriori->train($this->sampleBasket, []);
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$L = $apriori->apriori();
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self::assertCount(4, $L[2]);
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self::assertTrue(self::invoke($apriori, 'contains', [$L[2], [1, 2]]));
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self::assertFalse(self::invoke($apriori, 'contains', [$L[2], [1, 3]]));
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self::assertFalse(self::invoke($apriori, 'contains', [$L[2], [1, 4]]));
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self::assertTrue(self::invoke($apriori, 'contains', [$L[2], [2, 3]]));
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self::assertTrue(self::invoke($apriori, 'contains', [$L[2], [2, 4]]));
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self::assertTrue(self::invoke($apriori, 'contains', [$L[2], [3, 4]]));
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}
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public function testAprioriEmpty(): void
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{
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$sample = [];
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$apriori = new Apriori(0, 0);
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$apriori->train($sample, []);
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$L = $apriori->apriori();
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self::assertEmpty($L);
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}
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public function testAprioriSingleItem(): void
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{
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$sample = [['a']];
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$apriori = new Apriori(0, 0);
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$apriori->train($sample, []);
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$L = $apriori->apriori();
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self::assertEquals([1], array_keys($L));
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self::assertEquals([['a']], $L[1]);
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}
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public function testAprioriL3(): void
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{
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$sample = [['a', 'b', 'c']];
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$apriori = new Apriori(0, 0);
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$apriori->train($sample, []);
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$L = $apriori->apriori();
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self::assertEquals([['a', 'b', 'c']], $L[3]);
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}
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public function testGetRules(): void
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{
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$apriori = new Apriori(0.4, 0.8);
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$apriori->train($this->sampleChars, []);
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self::assertCount(19, $apriori->getRules());
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}
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public function testGetRulesSupportAndConfidence(): void
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{
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$sample = [['a', 'b'], ['a', 'c']];
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$apriori = new Apriori(0, 0);
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$apriori->train($sample, []);
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$rules = $apriori->getRules();
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self::assertCount(4, $rules);
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self::assertContains([
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Apriori::ARRAY_KEY_ANTECEDENT => ['a'],
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Apriori::ARRAY_KEY_CONSEQUENT => ['b'],
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Apriori::ARRAY_KEY_SUPPORT => 0.5,
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Apriori::ARRAY_KEY_CONFIDENCE => 0.5,
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], $rules);
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self::assertContains([
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Apriori::ARRAY_KEY_ANTECEDENT => ['b'],
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Apriori::ARRAY_KEY_CONSEQUENT => ['a'],
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Apriori::ARRAY_KEY_SUPPORT => 0.5,
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Apriori::ARRAY_KEY_CONFIDENCE => 1.0,
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], $rules);
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}
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public function testAntecedents(): void
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{
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$apriori = new Apriori();
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self::assertCount(6, self::invoke($apriori, 'antecedents', [['a', 'b', 'c']]));
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}
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public function testItems(): void
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{
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$apriori = new Apriori();
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$apriori->train($this->sampleGreek, []);
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self::assertCount(4, self::invoke($apriori, 'items', []));
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}
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public function testFrequent(): void
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{
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$apriori = new Apriori(0.51);
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$apriori->train($this->sampleGreek, []);
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self::assertCount(0, self::invoke($apriori, 'frequent', [[['epsilon'], ['theta']]]));
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self::assertCount(2, self::invoke($apriori, 'frequent', [[['alpha'], ['beta']]]));
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}
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public function testCandidates(): void
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{
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$apriori = new Apriori();
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$apriori->train($this->sampleGreek, []);
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$candidates = self::invoke($apriori, 'candidates', [[['alpha'], ['beta'], ['theta']]]);
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self::assertCount(3, $candidates);
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self::assertEquals(['alpha', 'beta'], $candidates[0]);
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self::assertEquals(['alpha', 'theta'], $candidates[1]);
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self::assertEquals(['beta', 'theta'], $candidates[2]);
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}
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public function testConfidence(): void
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{
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$apriori = new Apriori();
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$apriori->train($this->sampleGreek, []);
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self::assertEquals(0.5, self::invoke($apriori, 'confidence', [['alpha', 'beta', 'theta'], ['alpha', 'beta']]));
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self::assertEquals(1, self::invoke($apriori, 'confidence', [['alpha', 'beta'], ['alpha']]));
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}
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public function testSupport(): void
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{
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$apriori = new Apriori();
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$apriori->train($this->sampleGreek, []);
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self::assertEquals(1.0, self::invoke($apriori, 'support', [['alpha', 'beta']]));
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self::assertEquals(0.5, self::invoke($apriori, 'support', [['epsilon']]));
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}
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public function testFrequency(): void
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{
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$apriori = new Apriori();
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$apriori->train($this->sampleGreek, []);
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self::assertEquals(4, self::invoke($apriori, 'frequency', [['alpha', 'beta']]));
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self::assertEquals(2, self::invoke($apriori, 'frequency', [['epsilon']]));
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}
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public function testContains(): void
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{
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$apriori = new Apriori();
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self::assertTrue(self::invoke($apriori, 'contains', [[['a'], ['b']], ['a']]));
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self::assertTrue(self::invoke($apriori, 'contains', [[[1, 2]], [1, 2]]));
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self::assertFalse(self::invoke($apriori, 'contains', [[['a'], ['b']], ['c']]));
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}
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public function testSubset(): void
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{
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$apriori = new Apriori();
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self::assertTrue(self::invoke($apriori, 'subset', [['a', 'b'], ['a']]));
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self::assertTrue(self::invoke($apriori, 'subset', [['a'], ['a']]));
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self::assertFalse(self::invoke($apriori, 'subset', [['a'], ['a', 'b']]));
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}
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public function testEquals(): void
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{
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$apriori = new Apriori();
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self::assertTrue(self::invoke($apriori, 'equals', [['a'], ['a']]));
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self::assertFalse(self::invoke($apriori, 'equals', [['a'], []]));
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self::assertFalse(self::invoke($apriori, 'equals', [['a'], ['b', 'a']]));
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}
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public function testSaveAndRestore(): void
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{
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$classifier = new Apriori(0.5, 0.5);
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$classifier->train($this->sampleGreek, []);
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$testSamples = [['alpha', 'epsilon'], ['beta', 'theta']];
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$predicted = $classifier->predict($testSamples);
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$filename = 'apriori-test-'.random_int(100, 999).'-'.uniqid('', false);
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$filepath = (string) tempnam(sys_get_temp_dir(), $filename);
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$modelManager = new ModelManager();
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$modelManager->saveToFile($classifier, $filepath);
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$restoredClassifier = $modelManager->restoreFromFile($filepath);
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self::assertEquals($classifier, $restoredClassifier);
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self::assertEquals($predicted, $restoredClassifier->predict($testSamples));
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}
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/**
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* Invokes objects method. Private/protected will be set accessible.
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*
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* @param string $method Method name to be called
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* @param array $params Array of params to be passed
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*
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* @return mixed
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*/
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private static function invoke(Apriori $object, string $method, array $params = [])
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{
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$reflection = new ReflectionClass(get_class($object));
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$method = $reflection->getMethod($method);
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$method->setAccessible(true);
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return $method->invokeArgs($object, $params);
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}
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}
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