calculates cross validation for given parameter and a testparameter
1 2 | cv.parameter.test(testpar, nfold, nthread, nrounds = 200, plot = T,
pdim = 10, width = 1.5)
|
testpar |
e.g. list(eta = 0.1, 0.2, ...) |
nfold |
how many folds of dataset |
nthread |
number of CPU cores to use, NA for all |
nrounds |
number of training rounds |
plot |
should results be plotted, default=TRUE |
pdim |
dimension of plot, default=10 |
width |
proportion of width to height, default=1.5 |
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