Xfgpm-class {funGp} | R Documentation |
S4 class for funGp model selection data structures
Description
This is the formal representation of the assembly of data structures delivered by the model
selection routines in the funGp package. An Xfgpm
object contains the
trace of an optimization process, conducted to build Gaussian process models of outstanding performance.
Main methods
fgpm_factory: structural optimization offgpm
models, creator of the"Xfgpm"
class.
Plotters
plot,Xfgpm-method: plot of the evolution of the algorithm withwhich = "evolution"
or of the absolute and relative quality of the optimized model withwhich = "diag"
.
Slots
factoryCall
Object of class
"factoryCall"
. User call reminder.model
Object of class
"fgpm"
. Model selected by the heuristic structural optimization algorithm.stat
Object of class
"character"
. Performance measure optimized to select the model. To be set from "Q2loocv", "Q2hout".fitness
Object of class
"numeric"
. Value of the performance measure for the selected model.structure
Object of class
"data.frame"
. Structural configuration of the selected model.log.success
Object of class
"antsLog"
. Record of models successfully evaluated during the structural optimization. It contains the structural configuration both in data.frame and"modelCall"
format, along with the fitness of each model. The models are sorted by fitness, starting with the best model in the first position.log.crashes
Object of class
"antsLog"
. Record of models crashed during the structural optimization. It contains the structural configuration of each model, both in data.frame and"modelCall"
format.n.solspace
Object of class
"numeric"
. Number of possible structural configurations for the optimization instance resolved.n.explored
Object of class
"numeric"
. Number of structural configurations successfully evaluated by the algorithm.details
Object of class
"list"
. Further information about the parameters of the ant colony optimization algorithm and the evolution of the fitness along the iterations.sIn
An object of class
"matrix"
containing a copy of the provided scalar inputs.fIn
An object of class
"list"
containing a copy of the provided functional inputs.sOut
An object of class
"matrix"
containing a copy of the provided outputs.
Useful material
Manual funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs (doi:10.18637/jss.v109.i05)
Author(s)
José Betancourt, François Bachoc, Thierry Klein and Jérémy Rohmer