View source: R/MLPKrigingClass.R
| fit.MLPKriging | R Documentation |
(Re-)fit an already-constructed MLPKriging object on new data. The MLP architecture and kernel are kept from construction.
## S3 method for class 'MLPKriging'
fit(
object,
y,
X,
regmodel = "constant",
normalize = FALSE,
optim = "BFGS+Adam",
objective = "LL",
parameters = NULL,
...
)
object |
MLPKriging object |
y |
numeric vector of observations (n) |
X |
numeric matrix of inputs (n x d) |
regmodel |
trend: "constant", "linear", "quadratic" |
normalize |
logical; normalise inputs? |
optim |
optimiser |
objective |
"LL" (log-likelihood) |
parameters |
optional named list of tuning parameters |
... |
ignored |
No return value. MLPKriging object argument is modified.
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