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)