This method provides plots for assessing the quality of regression models whose structure have been somehow optimized for predictability.
an object containing the model for which the quality plot is to be made.
additional arguments affecting the plot.
* plotX for the diagnostic plot of a quality-enhanced funGp model.
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require(funGp) # a package with a plotX method implemented # generating input and output data set.seed(100) n.tr <- 2^5 sIn <- expand.grid(x1 = seq(0,1,length = n.tr^(1/5)), x2 = seq(0,1,length = n.tr^(1/5)), x3 = seq(0,1,length = n.tr^(1/5)), x4 = seq(0,1,length = n.tr^(1/5)), x5 = seq(0,1,length = n.tr^(1/5))) fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22)) sOut <- fgp_BB7(sIn, fIn, n.tr) ## Not run: # optimizing the model structure with fgpm_factory (~5 seconds) xm <- fgpm_factory(sIn = sIn, fIn = fIn, sOut = sOut) # assessing the quality of the model - absolute and w.r.t. the other explored models plotX(xm) ## End(Not run)
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