continue {dgpsi} | R Documentation |
Continue the training of a DGP emulator
Description
This function implements additional training iterations for a DGP emulator.
Usage
continue(
object,
N = 500,
cores = 1,
ess_burn = 10,
verb = TRUE,
burnin = NULL,
B = NULL
)
Arguments
object |
an instance of the |
N |
additional number of iterations for the DGP emulator training. Defaults to |
cores |
the number of cores/workers to be used to optimize GP components (in the same layer)
at each M-step of the training. If set to |
ess_burn |
number of burnin steps for the ESS-within-Gibbs
at each I-step of the training. Defaults to |
verb |
a bool indicating if the progress bar will be printed during the training:
Defaults to |
burnin |
the number of training iterations to be discarded for
point estimates calculation. Must be smaller than the overall training iterations
so-far implemented. If this is not specified, only the last 25% of iterations
are used. This overrides the value of |
B |
the number of imputations to produce the predictions. Increase the value to account for
more imputation uncertainties. This overrides the value of |
Details
See further examples and tutorials at https://mingdeyu.github.io/dgpsi-R/.
Value
An updated object
.
Note
One can also use this function to fit an untrained DGP emulator constructed by
dgp()
withtraining = FALSE
.The following slots:
-
loo
andoos
created byvalidate()
; and -
results
created bypredict()
inobject
will be removed and not contained in the returned object.
-
Examples
## Not run:
# See dgp() for an example.
## End(Not run)