In this example a support vector regression algorithm is trained on a
real-valued toy data set. The underlying library used for the SVR training is
LIBSVM. Both the epsilon-SVR and the nu-SVR formulation are used.
Data is a noisy sine wave on which a Gaussian kernel is used.

For more details on LIBSVM solver see http://www.csie.ntu.edu.tw/~cjlin/libsvm/ .
