本文整理汇总了C++中LinearRegression::setVariance方法的典型用法代码示例。如果您正苦于以下问题：C++ LinearRegression::setVariance方法的具体用法？C++ LinearRegression::setVariance怎么用？C++ LinearRegression::setVariance使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类LinearRegression的用法示例。
在下文中一共展示了LinearRegression::setVariance方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
int main(int argc, char** argv) {
LinearRegression<2> linearRegression;
std::cout << "Default parameters: " << std::endl << linearRegression
<< std::endl;
std::cout << "l.getLinearBasisFunction(): " << std::endl <<
linearRegression.getLinearBasisFunction() << std::endl;
std::cout << "l.getVariance(): " << linearRegression.getVariance()
<< std::endl;
std::cout << "l.setLinearBasisFunction(2.0, 2.0)" << std::endl;
std::cout << "l.setVariance(2.0)" << std::endl;
std::cout << "l.setBasis(2.0)" << std::endl;
linearRegression.setLinearBasisFunction(LinearBasisFunction<double, 2>(
Eigen::Matrix<double, 2, 1>(2.0, 2.0)));
linearRegression.setVariance(2.0);
linearRegression.setBasis((Eigen::Matrix<double, 1, 1>() << 2.0).finished());
if (linearRegression.getLinearBasisFunction().getCoefficients() !=
Eigen::Matrix<double, 2, 1>(2.0, 2.0))
return 1;
if (linearRegression.getVariance() != 2.0)
return 1;
if (linearRegression.getBasis() !=
(Eigen::Matrix<double, 1, 1>() << 2.0).finished())
return 1;
std::cout << "New parameters: " << std::endl << linearRegression
<< std::endl;
std::cout << "l.getValue(2): " << linearRegression(
Eigen::Matrix<double, 2, 1>(2, 6)) << std::endl;
std::cout << "l.getSample(): " << std::endl << linearRegression.getSample()
<< std::endl;
std::cout << "l.getMean(): " << linearRegression.getMean() << std::endl;
LinearRegression<2> linCopy(linearRegression);
std::cout << "Copy constructor: " << std::endl << linCopy << std::endl
<< std::endl;
if (linCopy.getLinearBasisFunction().getCoefficients() !=
linearRegression.getLinearBasisFunction().getCoefficients())
return 1;
if (linCopy.getVariance() != linearRegression.getVariance())
return 1;
LinearRegression<2> linAssign = linearRegression;
std::cout << "Assignment operator: " << std::endl << linAssign << std::endl;
if (linAssign.getLinearBasisFunction().getCoefficients() !=
linearRegression.getLinearBasisFunction().getCoefficients())
return 1;
if (linAssign.getVariance() != linearRegression.getVariance())
return 1;
return 0;
}