()
| 106 | } |
| 107 | |
| 108 | @Test |
| 109 | public void testClone() |
| 110 | { |
| 111 | System.out.println("clone"); |
| 112 | |
| 113 | RANSAC instance = new RANSAC(new KernelRLS(new LinearKernel(1), 1e-1), 10, 20, 40, 5); |
| 114 | |
| 115 | RegressionDataSet t1 = FixedProblems.getLinearRegression(500, RandomUtil.getRandom()); |
| 116 | for(int i = 0; i < 20; i++) |
| 117 | t1.addDataPoint(DenseVector.random(t1.getNumNumericalVars()), t1.getTargetValues().mean()); |
| 118 | RegressionDataSet t2 = FixedProblems.getLinearRegression(100, RandomUtil.getRandom()); |
| 119 | t2.applyTransform(new LinearTransform(t2, 1, 10)); |
| 120 | |
| 121 | instance = instance.clone(); |
| 122 | |
| 123 | instance.train(t1); |
| 124 | |
| 125 | RANSAC result = instance.clone(); |
| 126 | for (int i = 0; i < t1.getSampleSize(); i++) |
| 127 | assertEquals(t1.getTargetValue(i), result.regress(t1.getDataPoint(i)), t1.getTargetValues().mean()); |
| 128 | result.train(t2); |
| 129 | |
| 130 | for (int i = 0; i < t1.getSampleSize(); i++) |
| 131 | assertEquals(t1.getTargetValue(i), instance.regress(t1.getDataPoint(i)), t1.getTargetValues().mean()); |
| 132 | |
| 133 | for (int i = 0; i < t2.getSampleSize(); i++) |
| 134 | assertEquals(t2.getTargetValue(i), result.regress(t2.getDataPoint(i)), t2.getTargetValues().mean()*0.5); |
| 135 | |
| 136 | } |
| 137 | |
| 138 | } |
nothing calls this directly
no test coverage detected