Nonlinear regressions
Statistically speaking, the nonlinear regression is a kind of regression analysis used to estimate the relationships between one or more independent variables in a nonlinear combination.
In this chapter, we will use the mlpy Python library, and its Kernel Ridge Regression implementation. We can find more information about nonlinear regression methods at http://mlpy.sourceforge.net/docs/3.3/nonlin_regr.html.
Kernel Ridge Regressions
The most basic algorithm that can be kernelized is (KRRKernel Ridge Regression (KRR), which is a combination of Ridge Regression using a small kernel trick that corresponds to a nonlinear function that fits a line to some values mapped from X to Y. It is similar to a Support Vector Machines (SVM
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