which_on | R Documentation |
The fgpm_factory function returns an object of class "Xfgpm"
with the function calls of all the evaluated models stored in the @log.success@args
and
@log.crashes@args
slots. The which_on
function interprets the arguments linked to any
structural configuration and returns a list with two elements: (i) an array
of indices of the scalar
inputs kept active; and (ii) an array
of indices of the functional inputs kept active.
which_on(sIn = NULL, fIn = NULL, args)
sIn |
An optional matrix of scalar input coordinates with all the orignal scalar input variables.
This is used only to know the total number of scalar input variables. Any |
fIn |
An optional list of functional input coordinates with all the original functional input
variables. This is used only to know the total number of functional input variables. Any |
args |
An object of class |
An object of class "list"
, containing the following information extracted from the
args parameter: (i) an array of indices of the scalar inputs kept active; and (ii) an array of
indices of the functional inputs kept active.
José Betancourt, François Bachoc, Thierry Klein and Jérémy Rohmer
Betancourt, J., Bachoc, F., and Klein, T. (2020), R Package Manual: "Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour". RISCOPE project. [HAL]
* get_active_in for details on how to obtain the data structures linked to the active inputs;
* modelCall for details on the args argument;
* fgpm_factory for funGp heuristic model selection;
* Xfgpm for details on object delivered by fgpm_factory.
# extracting the indices of the active inputs in an optimized model________________________
# use precalculated Xfgpm object named xm
# active inputs in the best model
xm@log.success@args[[1]] # the full fgpm call
set.seed(100)
n.tr <- 32
sIn <- expand.grid(x1 = seq(0,1,length = n.tr^(1/5)), x2 = seq(0,1,length = n.tr^(1/5)),
x3 = seq(0,1,length = n.tr^(1/5)), x4 = seq(0,1,length = n.tr^(1/5)),
x5 = seq(0,1,length = n.tr^(1/5)))
fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22))
which_on(sIn, fIn, xm@log.success@args[[1]]) # only the indices extracted by which_on
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