% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MLPKrigingClass.R
\name{fit.MLPKriging}
\alias{fit.MLPKriging}
\title{Fit an MLPKriging model to data}
\usage{
\method{fit}{MLPKriging}(
  object,
  y,
  X,
  regmodel = "constant",
  normalize = FALSE,
  optim = "BFGS+Adam",
  objective = "LL",
  parameters = NULL,
  ...
)
}
\arguments{
\item{object}{MLPKriging object}

\item{y}{numeric vector of observations (n)}

\item{X}{numeric matrix of inputs (n x d)}

\item{regmodel}{trend: "constant", "linear", "quadratic"}

\item{normalize}{logical; normalise inputs?}

\item{optim}{optimiser}

\item{objective}{"LL" (log-likelihood)}

\item{parameters}{optional named list of tuning parameters}

\item{...}{ignored}
}
\value{
No return value. MLPKriging object argument is modified.
}
\description{
(Re-)fit an already-constructed MLPKriging object on new
  data.  The MLP architecture and kernel are kept from construction.
}
