train($samples, $targets); self::assertEqualsWithDelta([4.05], $regression->predict([[64]]), $delta); $samples = [[9300], [10565], [15000], [15000], [17764], [57000], [65940], [73676], [77006], [93739], [146088], [153260]]; $targets = [7100, 15500, 4400, 4400, 5900, 4600, 8800, 2000, 2750, 2550, 960, 1025]; $regression = new DecisionTreeRegressor(); $regression->train($samples, $targets); self::assertEqualsWithDelta([11300.0], $regression->predict([[9300]]), $delta); self::assertEqualsWithDelta([5250.0], $regression->predict([[57000]]), $delta); self::assertEqualsWithDelta([2433.33], $regression->predict([[77006]]), $delta); self::assertEqualsWithDelta([11300.0], $regression->predict([[9300]]), $delta); self::assertEqualsWithDelta([992.5], $regression->predict([[153260]]), $delta); } public function testPreventPredictWhenNotTrained(): void { $regression = new DecisionTreeRegressor(); $this->expectException(InvalidOperationException::class); $regression->predict([[1]]); } public function testSaveAndRestore(): void { $samples = [[60], [61], [62], [63], [65]]; $targets = [3.1, 3.6, 3.8, 4, 4.1]; $regression = new DecisionTreeRegressor(4); $regression->train($samples, $targets); $testSamples = [[9300], [10565], [15000]]; $predicted = $regression->predict($testSamples); $filename = 'least-squares-test-'.random_int(100, 999).'-'.uniqid('', false); $filepath = (string) tempnam(sys_get_temp_dir(), $filename); $modelManager = new ModelManager(); $modelManager->saveToFile($regression, $filepath); $restoredRegression = $modelManager->restoreFromFile($filepath); self::assertEquals($regression, $restoredRegression); self::assertEquals($predicted, $restoredRegression->predict($testSamples)); } }