Hello, I've been working on applying Gaussian Processes to noisy input data. The scikit-learn docs are not especially helpful on this topic, but after reading through some of the references and scanning the code, I found that the keyword 'nugget' in the initializer of GaussianProcess does essentially what I want to do: add a diagonal term to the internal covariance matrix.
The name 'nugget' does not immediately suggest this to me - does anyone know the origin of this naming convention? Would it make more sense to rename "nugget" to "training_variance" or something similar? At the very least, I plan to add some documentation and a small example showing how to perform GPML on noisy data. Jake ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
