Support Vector Regression ( LS-SVR) for Non Linear functions

Application of SUPPORT VECTOR REGRESSION to estimate a non linear function

The script estimate a non linear function based on noisy training data.
In particular, the Support Vector Regression used is the Least Squares version.
There are two free parameters:
-C is used to avoid overfitting
-g is related to the learning paramater of the Radial Basis Function