//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test public void test()
public virtual void test()
{
const double a0 = 2.3;
const double a1 = -4.5;
const double a2 = 0.76;
const double a3 = 3.4;
const int n = 30;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] x = new double[n][3];
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: double[][] x = new double[n][3];
double[][] x = RectangularArrays.ReturnRectangularDoubleArray(n, 3);
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yIntercept = new double[n];
double[] yIntercept = new double[n];
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yNoIntercept = new double[n];
double[] yNoIntercept = new double[n];
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] w1 = new double[n][n];
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: double[][] w1 = new double[n][n];
double[][] w1 = RectangularArrays.ReturnRectangularDoubleArray(n, n);
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] w2 = new double[n];
double[] w2 = new double[n];
double y, x1, x2, x3;
for (int i = 0; i < n; i++)
{
x1 = i;
x2 = x1 * x1;
x3 = Math.Sqrt(x1);
x[i] = new double[] { x1, x2, x3 };
y = x1 * a1 + x2 * a2 + x3 * a3;
yNoIntercept[i] = y;
yIntercept[i] = y + a0;
for (int j = 0; j < n; j++)
{
w1[i][j] = RANDOM.NextDouble();
}
w1[i][i] = 1.0;
w2[i] = 1.0;
}
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final WeightedLeastSquaresRegression wlsRegression = new WeightedLeastSquaresRegression();
WeightedLeastSquaresRegression wlsRegression = new WeightedLeastSquaresRegression();
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final OrdinaryLeastSquaresRegression olsRegression = new OrdinaryLeastSquaresRegression();
OrdinaryLeastSquaresRegression olsRegression = new OrdinaryLeastSquaresRegression();
try
{
wlsRegression.regress(x, (double[])null, yNoIntercept, false);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
LeastSquaresRegressionResult wls = wlsRegression.regress(x, w1, yIntercept, true);
LeastSquaresRegressionResult ols = olsRegression.regress(x, yIntercept, true);
assertRegressions(n, 4, wls, ols);
wls = wlsRegression.regress(x, w1, yNoIntercept, false);
ols = olsRegression.regress(x, yNoIntercept, false);
assertRegressions(n, 3, wls, ols);
wls = wlsRegression.regress(x, w2, yIntercept, true);
ols = olsRegression.regress(x, yIntercept, true);
assertRegressions(n, 4, wls, ols);
wls = wlsRegression.regress(x, w2, yNoIntercept, false);
ols = olsRegression.regress(x, yNoIntercept, false);
assertRegressions(n, 3, wls, ols);
}
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test public void test()
public virtual void test()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final LeastSquaresRegression regression = new OrdinaryLeastSquaresRegression();
LeastSquaresRegression regression = new OrdinaryLeastSquaresRegression();
try
{
regression.checkData(null, null);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
double[][] x = new double[0][];
try
{
regression.checkData(x, null);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
double[] y = new double[0];
try
{
regression.checkData(x, (double[])null, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: x = new double[1][2];
x = RectangularArrays.ReturnRectangularDoubleArray(1, 2);
y = new double[3];
try
{
regression.checkData(x, (double[])null, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
x = new double[][]
{
new double[] { 1.0, 2.0, 3.0 },
new double[] { 4.0, 5.0 },
new double[] { 6.0, 7.0, 8.0 },
new double[] { 9.0, 0.0, 0.0 }
};
try
{
regression.checkData(x, (double[])null, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
x[1] = new double[] { 4.0, 5.0, 6.0 };
try
{
regression.checkData(x, (double[])null, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
y = new double[] { 1.0, 2.0, 3.0, 4.0 };
double[] w1 = new double[0];
try
{
regression.checkData(x, w1, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
double[][] w = new double[0][];
try
{
regression.checkData(x, w, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
w1 = new double[3];
try
{
regression.checkData(x, w1, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: w = new double[3][0];
w = RectangularArrays.ReturnRectangularDoubleArray(3, 0);
try
{
regression.checkData(x, w, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
w = new double[][]
{
new double[] { 1.0, 2.0, 3.0 },
new double[] { 4.0, 5.0 },
new double[] { 6.0, 7.0, 8.0 },
new double[] { 9.0, 0.0, 0.0 }
};
try
{
regression.checkData(x, w, y);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
}
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test public void test()
public virtual void test()
{
const int n = 100;
const double beta0 = 0.3;
const double beta1 = 2.5;
const double beta2 = -0.3;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final java.util.function.DoubleBinaryOperator f1 = (x1, x2) -> beta1 * x1 + beta2 * x2;
System.Func <double, double, double> f1 = (x1, x2) => beta1 * x1 + beta2 * x2;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final java.util.function.DoubleBinaryOperator f2 = (x1, x2) -> beta0 + beta1 * x1 + beta2 * x2;
System.Func <double, double, double> f2 = (x1, x2) => beta0 + beta1 * x1 + beta2 * x2;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] x = new double[n][2];
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: double[][] x = new double[n][2];
double[][] x = RectangularArrays.ReturnRectangularDoubleArray(n, 2);
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] y1 = new double[n];
double[] y1 = new double[n];
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] y2 = new double[n];
double[] y2 = new double[n];
for (int i = 0; i < n; i++)
{
x[i][0] = RANDOM.NextDouble();
x[i][1] = RANDOM.NextDouble();
y1[i] = f1(x[i][0], x[i][1]);
y2[i] = f2(x[i][0], x[i][1]);
}
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final LeastSquaresRegression ols = new OrdinaryLeastSquaresRegression();
LeastSquaresRegression ols = new OrdinaryLeastSquaresRegression();
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final java.util.List<String> names = java.util.Arrays.asList("1", "2");
IList <string> names = Arrays.asList("1", "2");
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final NamedVariableLeastSquaresRegressionResult result1 = new NamedVariableLeastSquaresRegressionResult(names, ols.regress(x, null, y1, false));
NamedVariableLeastSquaresRegressionResult result1 = new NamedVariableLeastSquaresRegressionResult(names, ols.regress(x, null, y1, false));
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final NamedVariableLeastSquaresRegressionResult result2 = new NamedVariableLeastSquaresRegressionResult(names, ols.regress(x, null, y2, true));
NamedVariableLeastSquaresRegressionResult result2 = new NamedVariableLeastSquaresRegressionResult(names, ols.regress(x, null, y2, true));
try
{
result1.getPredictedValue((IDictionary <string, double>)null);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
assertEquals(result1.getPredictedValue(System.Linq.Enumerable.Empty <string, double>()), 0.0, 1e-16);
try
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final java.util.Map<String, double> map = new java.util.HashMap<>();
IDictionary <string, double> map = new Dictionary <string, double>();
map["1"] = 0.0;
result1.getPredictedValue(map);
Assert.fail();
}
//JAVA TO C# CONVERTER WARNING: 'final' catch parameters are not available in C#:
//ORIGINAL LINE: catch (final IllegalArgumentException e)
catch (legalArgumentException)
{
// Expected
}
double x1, x2, x3;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final java.util.Map<String, double> var = new java.util.HashMap<>();
IDictionary <string, double> var = new Dictionary <string, double>();
for (int i = 0; i < 10; i++)
{
x1 = RANDOM.NextDouble();
x2 = RANDOM.NextDouble();
x3 = RANDOM.NextDouble();
var["1"] = x1;
var["2"] = x2;
assertEquals(result1.getPredictedValue(var), f1(x1, x2), EPS);
assertEquals(result2.getPredictedValue(var), f2(x1, x2), EPS);
var["3"] = x3;
assertEquals(result1.getPredictedValue(var), f1(x1, x2), EPS);
assertEquals(result2.getPredictedValue(var), f2(x1, x2), EPS);
}
}
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test public void test()
public virtual void test()
{
const double a0 = 2.3;
const double a1 = 4.7;
const double a2 = -0.99;
const double a3 = -5.1;
const double a4 = 0.27;
const int n = 30;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] x = new double[n][4];
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: double[][] x = new double[n][4];
double[][] x = RectangularArrays.ReturnRectangularDoubleArray(n, 4);
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yIntercept = new double[n];
double[] yIntercept = new double[n];
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yNoIntercept = new double[n];
double[] yNoIntercept = new double[n];
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] w = new double[n][n];
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: double[][] w = new double[n][n];
double[][] w = RectangularArrays.ReturnRectangularDoubleArray(n, n);
double y, x1, x2, x3, x4;
for (int i = 0; i < n; i++)
{
x1 = i;
x2 = x1 * x1;
x3 = Math.Sqrt(x1);
x4 = x1 * x2;
x[i] = new double[] { x1, x2, x3, x4 };
y = x1 * a1 + x2 * a2 + x3 * a3 + x4 * a4;
yNoIntercept[i] = y;
yIntercept[i] = y + a0;
for (int j = 0; j < n; j++)
{
w[i][j] = 0.0;
}
w[i][i] = 1.0;
}
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final GeneralizedLeastSquaresRegression regression = new GeneralizedLeastSquaresRegression();
GeneralizedLeastSquaresRegression regression = new GeneralizedLeastSquaresRegression();
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final OrdinaryLeastSquaresRegression olsRegression = new OrdinaryLeastSquaresRegression();
OrdinaryLeastSquaresRegression olsRegression = new OrdinaryLeastSquaresRegression();
LeastSquaresRegressionResult gls = regression.regress(x, w, yIntercept, true);
LeastSquaresRegressionResult ols = olsRegression.regress(x, yIntercept, true);
assertRegressions(n, 5, gls, ols);
gls = regression.regress(x, w, yNoIntercept, false);
ols = olsRegression.regress(x, yNoIntercept, false);
assertRegressions(n, 4, gls, ols);
gls = regression.regress(x, w, yIntercept, true);
ols = olsRegression.regress(x, yIntercept, true);
assertRegressions(n, 5, gls, ols);
gls = regression.regress(x, w, yNoIntercept, false);
ols = olsRegression.regress(x, yNoIntercept, false);
assertRegressions(n, 4, gls, ols);
}