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How to set basis function of a rbfmodel http://forum.alglib.net/viewtopic.php?f=2&t=793 
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Author:  heltonbiker [ Tue Mar 12, 2013 1:16 pm ] 
Post subject:  How to set basis function of a rbfmodel 
I am trying to use AlgLib's RBF models to replace SciPy in an application. In Scipy, I use "ThinPlate" function ( Code: r**2 * log(r) ), since it gives by far the bestbehaved results for my datasets.I have read the Introduction to RBF's article, and it explicitly mentions the ThinPlate in the following paragraph: Quote: (...) We can get different models with different properties by choosing different basis functions, polynomial terms and smoothing.(...) (...) Thin Plate Splines – f(r)=r 2·ln(r) is used as basis function, nonlinearity penalty, polynomial term All these algorithms, albeit known under different names, are just special cases of same general idea  representation of the model function as linear combination of the radiallysymmetric basis functions f(r). So what I need to know is: "How could I set the basis function of a model to be of the Thin Plate form?". I searched around the docs, but couldn't figure it out. Thanks for any help! 
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