nllik {dgpsi} | R Documentation |
This function computes the negative predicted log-likelihood from a DGP emulator with a likelihood layer.
nllik(object, x, y)
object |
an instance of the |
x |
a matrix where each row is an input testing data point and each column is an input dimension. |
y |
a matrix with only one column where each row is a scalar-valued testing output data point. |
See further examples and tutorials at https://mingdeyu.github.io/dgpsi-R/.
An updated object
is returned with an additional slot named NLL
that contains two elements.
The first one, named meanNLL
, is a scalar that gives the average negative predicted log-likelihood
across all testing data points. The second one, named allNLL
, is a vector that gives the negative predicted
log-likelihood for each testing data point.
Any R vector detected in x
and y
will be treated as a column vector and automatically converted into a single-column
R matrix.
## Not run:
# Check https://mingdeyu.github.io/dgpsi-R/ for examples
# on how to compute the negative predicted log-likelihood
# using nllik().
## End(Not run)