This function fits an outerbase model for prediction and hides most of the actual object-oriented aspects of the package.
Usage
obfit(
x,
y,
numb = 100,
verbose = 0,
covnames = NULL,
hyp = NULL,
numberopts = 2,
nthreads = NULL
)Arguments
- x
a n by d sized matrix of inputs
- y
a n length vector of outputs
- numb
size of basis to use
- verbose
0-3, how much information on optimization to print to console
- covnames
a d length vector of covariance names
- hyp
initial covariance hyperparameters
- numberopts
number of optimizations done for hyperparameters, must be larger than 1
- nthreads
number of threads used in learning
Value
Saving important model information to be used with
obpred