/// public virtual void RmatrixTest() { //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final PolynomialsLeastSquaresFitter regObj1 = new PolynomialsLeastSquaresFitter(); PolynomialsLeastSquaresFitter regObj1 = new PolynomialsLeastSquaresFitter(); //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] xValues = new double[] {-1.0, 0, 1.0 }; double[] xValues = new double[] { -1.0, 0, 1.0 }; //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] yValues = new double[] {1.0, 0, 1.0 }; double[] yValues = new double[] { 1.0, 0, 1.0 }; //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[][] rMatrix = new double[][] { {-Math.sqrt(3.0), 0.0, -2.0 / Math.sqrt(3.0)}, {0.0, -Math.sqrt(2.0), 0.0}, {0.0, 0.0, -Math.sqrt(2.0 / 3.0)} }; double[][] rMatrix = new double[][] { new double[] { -Math.Sqrt(3.0), 0.0, -2.0 / Math.Sqrt(3.0) }, new double[] { 0.0, -Math.Sqrt(2.0), 0.0 }, new double[] { 0.0, 0.0, -Math.Sqrt(2.0 / 3.0) } }; const int degree = 2; PolynomialsLeastSquaresFitterResult resultVer = regObj1.regressVerbose(xValues, yValues, degree, false); DoubleMatrix rMatResult = resultVer.RMat; for (int i = 0; i < 3; ++i) { for (int j = 0; j < 3; ++j) { assertEquals(rMatrix[i][j], rMatResult.get(i, j), EPS); } } //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final PolynomialsLeastSquaresFitter regObj2 = new PolynomialsLeastSquaresFitter(); PolynomialsLeastSquaresFitter regObj2 = new PolynomialsLeastSquaresFitter(); PolynomialsLeastSquaresFitterResult resultNorm = regObj2.regressVerbose(xValues, yValues, degree, true); rMatResult = resultNorm.RMat; for (int i = 0; i < 3; ++i) { for (int j = 0; j < 3; ++j) { assertEquals(rMatrix[i][j], rMatResult.get(i, j), EPS); } } }
/// <summary> /// An error is thrown if rescaling of xValues is NOT used and we try to access data, mean and standard deviation /// </summary> //JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes: //ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void NormalisationErrorTest() public virtual void NormalisationErrorTest() { //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final PolynomialsLeastSquaresFitter regObj = new PolynomialsLeastSquaresFitter(); PolynomialsLeastSquaresFitter regObj = new PolynomialsLeastSquaresFitter(); const int degree = 4; //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] xValues = new double[] {0, 1, 2, 3, 5, 6 }; double[] xValues = new double[] { 0, 1, 2, 3, 5, 6 }; //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] yValues = new double[] {1, 2, 3, 4, 2, 1 }; double[] yValues = new double[] { 1, 2, 3, 4, 2, 1 }; PolynomialsLeastSquaresFitterResult result = regObj.regressVerbose(xValues, yValues, degree, false); result.MeanAndStd; }
/// <summary> /// Checks coefficients of polynomial f(x) are recovered and residuals, { y_i -f(x_i) }, are accurate /// </summary> public virtual void PolynomialFunctionRecoverTest() { //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final PolynomialsLeastSquaresFitter regObj = new PolynomialsLeastSquaresFitter(); PolynomialsLeastSquaresFitter regObj = new PolynomialsLeastSquaresFitter(); //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] coeff = new double[] {3.4, 5.6, 1.0, -4.0 }; double[] coeff = new double[] { 3.4, 5.6, 1.0, -4.0 }; DoubleFunction1D func = new RealPolynomialFunction1D(coeff); //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final int degree = coeff.length - 1; int degree = coeff.Length - 1; const int nPts = 7; double[] xValues = new double[nPts]; double[] yValues = new double[nPts]; for (int i = 0; i < nPts; ++i) { xValues[i] = -5.0 + 10 * i / (nPts - 1); yValues[i] = func.applyAsDouble(xValues[i]); } double[] yValuesNorm = new double[nPts]; //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double mean = _meanCal.apply(xValues); double mean = _meanCal.apply(xValues); //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double std = _stdCal.apply(xValues); double std = _stdCal.apply(xValues); //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double ratio = mean / std; double ratio = mean / std; for (int i = 0; i < nPts; ++i) { //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double tmp = xValues[i] / std - ratio; double tmp = xValues[i] / std - ratio; yValuesNorm[i] = func.applyAsDouble(tmp); } /// <summary> /// Tests for regress(..) /// </summary> LeastSquaresRegressionResult result = regObj.regress(xValues, yValues, degree); double[] coeffResult = result.Betas; for (int i = 0; i < degree + 1; ++i) { assertEquals(coeff[i], coeffResult[i], EPS * Math.Abs(coeff[i])); } //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] residuals = result.getResiduals(); double[] residuals = result.Residuals; func = new RealPolynomialFunction1D(coeffResult); double[] yValuesFit = new double[nPts]; for (int i = 0; i < nPts; ++i) { yValuesFit[i] = func.applyAsDouble(xValues[i]); } for (int i = 0; i < nPts; ++i) { assertEquals(Math.Abs(yValuesFit[i] - yValues[i]), 0.0, Math.Abs(yValues[i]) * EPS); } for (int i = 0; i < nPts; ++i) { assertEquals(Math.Abs(yValuesFit[i] - yValues[i]), Math.Abs(residuals[i]), Math.Abs(yValues[i]) * EPS); } double sum = 0.0; for (int i = 0; i < nPts; ++i) { sum += residuals[i] * residuals[i]; } sum = Math.Sqrt(sum); /// <summary> /// Tests for regressVerbose(.., false) /// </summary> PolynomialsLeastSquaresFitterResult resultVer = regObj.regressVerbose(xValues, yValues, degree, false); coeffResult = resultVer.Coeff; func = new RealPolynomialFunction1D(coeffResult); for (int i = 0; i < nPts; ++i) { yValuesFit[i] = func.applyAsDouble(xValues[i]); } assertEquals(nPts - (degree + 1), resultVer.Dof, 0); for (int i = 0; i < degree + 1; ++i) { assertEquals(coeff[i], coeffResult[i], EPS * Math.Abs(coeff[i])); } for (int i = 0; i < nPts; ++i) { assertEquals(Math.Abs(yValuesFit[i] - yValues[i]), 0.0, Math.Abs(yValues[i]) * EPS); } assertEquals(sum, resultVer.DiffNorm, EPS); /// <summary> /// Tests for regressVerbose(.., true) /// </summary> PolynomialsLeastSquaresFitterResult resultNorm = regObj.regressVerbose(xValues, yValuesNorm, degree, true); coeffResult = resultNorm.Coeff; //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double[] meanAndStd = resultNorm.getMeanAndStd(); double[] meanAndStd = resultNorm.MeanAndStd; assertEquals(nPts - (degree + 1), resultNorm.Dof, 0); assertEquals(mean, meanAndStd[0], EPS); assertEquals(std, meanAndStd[1], EPS); for (int i = 0; i < degree + 1; ++i) { assertEquals(coeff[i], coeffResult[i], EPS * Math.Abs(coeff[i])); } func = new RealPolynomialFunction1D(coeffResult); for (int i = 0; i < nPts; ++i) { //JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final': //ORIGINAL LINE: final double tmp = xValues[i] / std - ratio; double tmp = xValues[i] / std - ratio; yValuesFit[i] = func.applyAsDouble(tmp); } for (int i = 0; i < nPts; ++i) { assertEquals(Math.Abs(yValuesFit[i] - yValuesNorm[i]), 0.0, Math.Abs(yValuesNorm[i]) * EPS); } sum = 0.0; for (int i = 0; i < nPts; ++i) { sum += (yValuesFit[i] - yValuesNorm[i]) * (yValuesFit[i] - yValuesNorm[i]); } sum = Math.Sqrt(sum); assertEquals(sum, resultNorm.DiffNorm, EPS); }