plot.rvbm {rpud} | R Documentation |
The plot.rvbm
method plots the history of
marginal likelihood lower bound, predictive likelihood,
test error and estimated covariance parameters
during the iterations of the Gaussian process computation.
## S3 method for class 'rvbm' plot(x, ...)
x |
An S3 object that inherits from the class |
... |
Not used. |
This is a clone of the plotDiagnostics
method in vbmp
.
Chi Yau
chi.yau@r-tutor.com
rvbm
, vbmp
## Not run: library(rpud) x <- rvbm.sample.train$X y <- rvbm.sample.train$t.class model.rvbm <- rvbm( x, y, x, y, theta = rep(1, ncol(x)), control = list( sKernelType="gaussian", bThetaEstimate=TRUE, bMonitor=TRUE, maxIts=12, InfoLevel=1) ) plot(model.rvbm) ## End(Not run)