SPIDER The Spider Objects

GPROC Gaussian-Process object


   A=GPROC(hyper) returns a GPROCobject initialized with hyperparameters hyper. 
   minimize log-likelihood for length runs
  
   
    Hyperparameters, and their defaults
  
   
     child=kernel;        -- the kernel is stored as a member called "child"
     length=50            -- default maximum length lines searches
    
    Model
    H			-- covariance hyperparameters
    var			-- predictive variances
   
    Methods:
  
     train, test

Reference : Gaussian Processes A Replacement for Supervised Neural Networks
Author : David J.C. MacKay
Link : http://citeseer.ist.psu.edu/mackay97gaussian.html