train($samples, $targets); $this->assertEquals(4.06, $regression->predict([64]), '', $delta); //http://www.stat.wmich.edu/s216/book/node127.html $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 LeastSquares(); $regression->train($samples, $targets); $this->assertEquals(7659.35, $regression->predict([9300]), '', $delta); $this->assertEquals(5213.81, $regression->predict([57000]), '', $delta); $this->assertEquals(4188.13, $regression->predict([77006]), '', $delta); $this->assertEquals(7659.35, $regression->predict([9300]), '', $delta); $this->assertEquals(278.66, $regression->predict([153260]), '', $delta); } public function testPredictSingleFeatureSamplesWithMatrixTargets(): void { $delta = 0.01; //https://www.easycalculation.com/analytical/learn-least-square-regression.php $samples = [[60], [61], [62], [63], [65]]; $targets = [[3.1], [3.6], [3.8], [4], [4.1]]; $regression = new LeastSquares(); $regression->train($samples, $targets); $this->assertEquals(4.06, $regression->predict([64]), '', $delta); } public function testPredictMultiFeaturesSamples(): void { $delta = 0.01; //http://www.stat.wmich.edu/s216/book/node129.html $samples = [[73676, 1996], [77006, 1998], [10565, 2000], [146088, 1995], [15000, 2001], [65940, 2000], [9300, 2000], [93739, 1996], [153260, 1994], [17764, 2002], [57000, 1998], [15000, 2000]]; $targets = [2000, 2750, 15500, 960, 4400, 8800, 7100, 2550, 1025, 5900, 4600, 4400]; $regression = new LeastSquares(); $regression->train($samples, $targets); $this->assertEquals(-800614.957, $regression->getIntercept(), '', $delta); $this->assertEquals([-0.0327, 404.14], $regression->getCoefficients(), '', $delta); $this->assertEquals(4094.82, $regression->predict([60000, 1996]), '', $delta); $this->assertEquals(5711.40, $regression->predict([60000, 2000]), '', $delta); } public function testSaveAndRestore(): void { //https://www.easycalculation.com/analytical/learn-least-square-regression.php $samples = [[60], [61], [62], [63], [65]]; $targets = [[3.1], [3.6], [3.8], [4], [4.1]]; $regression = new LeastSquares(); $regression->train($samples, $targets); //http://www.stat.wmich.edu/s216/book/node127.html $testSamples = [[9300], [10565], [15000]]; $predicted = $regression->predict($testSamples); $filename = 'least-squares-test-'.random_int(100, 999).'-'.uniqid(); $filepath = tempnam(sys_get_temp_dir(), $filename); $modelManager = new ModelManager(); $modelManager->saveToFile($regression, $filepath); $restoredRegression = $modelManager->restoreFromFile($filepath); $this->assertEquals($regression, $restoredRegression); $this->assertEquals($predicted, $restoredRegression->predict($testSamples)); } }