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# October 26, 2018
.validity_CVInfoObj <- function(object) {
# @cvInfo must be CVInfo or NA
if (!is(object = object@cvInfo, class2 = "CVInfo") &&
!is.na(x = object@cvInfo)) {
return( "incorrect object for @cvInfo" )
}
return( TRUE )
}
#' Class \code{CVInfoObj}
#'
#' Class \code{CVInfoObj} holds information regarding cross-validation
#' procedure under a common name.
#'
#' @name CVInfoObj-class
#'
#' @slot cvInfo ANY expected to be CVInfo or NULL
#'
#' @keywords internal
#'
#' @include N_CVInfo.R N_CVBasic.R
#' @include N_CVInfo2Par.R N_CVInfokParam.R N_CVInfoLambda.R
#'
setClass(Class = "CVInfoObj",
slots = c(cvInfo = "ANY"),
prototype = list(cvInfo = NA),
validity = .validity_CVInfoObj)
##########
## GENERICS
##########
#' Create a New CVInfoObj Object
#'
#' Call newCVInfo and stores result in @cvInfo
#'
#' @param lambdas Tuning parameters to be considered
#' @param kernel Kernel (w/kernel parameters) to be considered
#' @param ... Additional arguments as needed
#'
#' @rdname newCVInfoObj
#'
#' @keywords internal
setGeneric(name = ".newCVInfoObj",
def = function(lambdas, kernel, ...) {
standardGeneric(f = ".newCVInfoObj")
})
##########
## METHODS
##########
#' Methods Available for Objects of Class \code{CVInfoObj}
#'
#' Call methods equivalently named for object inheriting from CVInfo.
#' Methods dispached depend on object in @cvInfo.
#'
#' @name CVInfoObj-methods
#'
#' @keywords internal
NULL
#' @rdname newCVInfoObj
#' @param methodObject Object parameters for weighted learning method
#' @param cvObject Cross-Validation object
#' @param suppress T/F indicating if screen prints are generated
setMethod(f = ".newCVInfoObj",
signature = c(lambdas = "ANY",
kernel = "Kernel"),
definition = function(lambdas,
kernel,
methodObject,
cvObject,
suppress, ...) {
return( new(Class = "CVInfoObj",
cvInfo = .newCVInfo(lambdas = lambdas,
kernel = kernel,
methodObject = methodObject,
cvObject = cvObject,
suppress = suppress, ...)) )
})
#' \code{.getPars}
#' retrieves parameters considered in cross-validation.
#'
#' @rdname CVInfoObj-methods
setMethod(f = ".getPars",
signature = c(object = "CVInfoObj"),
definition = function(object) {
return( .getPars(object = object@cvInfo) )
})
#' \code{.getOptimal}
#' retrieves optimal parameters identified in cross-validation.
#'
#' @rdname CVInfoObj-methods
setMethod(f = ".getOptimal",
signature = c(object = "CVInfoObj"),
definition = function(object) {
return( .getOptimal(object = object@cvInfo) )
})
#' \code{.getValue}
#' retrieves values obtained in cross-validation.
#'
#' @rdname CVInfoObj-methods
setMethod(f = ".getValue",
signature = c(object = "CVInfoObj"),
definition = function(object) {
return( .getValue(object = object@cvInfo) )
})
#' \code{cvInfo}
#' retrieves cross-validation information.
#'
#' @rdname CVInfoObj-methods
setMethod(f = "cvInfo",
signature = c(object = "CVInfoObj"),
definition = function(object) {
if (is(object = object@cvInfo, class2 = "CVInfo")) {
return( list("cvInfo" = cvInfo(object = object@cvInfo)) )
}
})
#' \code{print}
#' print cross-validation results.
#'
#' @rdname CVInfoObj-methods
setMethod(f = "print",
signature = c(x = "CVInfoObj"),
definition = function(x, ...) {
if (is(object = x@cvInfo, class2 = "CVInfo")) {
cat("\nCross Validation\n")
print(x = x@cvInfo, ...)
}
})
#' \code{show}
#' display cross-validation results.
#'
#' @rdname CVInfoObj-methods
setMethod(f = "show",
signature = c(object = "CVInfoObj"),
definition = function(object) {
if (is(object = object@cvInfo, class2 = "CVInfo")) {
cat("\nCross Validation\n")
show(object = object@cvInfo)
}
})
#' \code{summary}
#' summarize cross-validation results.
#'
#' @rdname CVInfoObj-methods
setMethod(f = "summary",
signature = c(object = "CVInfoObj"),
definition = function(object, ...) {
if (is(object = object@cvInfo, class2 = "CVInfo")) {
return( list("cvInfo" = summary(object = object@cvInfo, ...)) )
}
})
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