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License: GNU Lesser General Public License v3.0
CrossValidation Tool
License: GNU Lesser General Public License v3.0
This refers to these lines. We can replace this safely by this function. The key advantage is that you only need to update the package map when support is added for more models.
#' Load packages based on a set of model classes.
#'
#' @param models list of model objects
#' @export
getPkgListForModels <- function(models, load = FALSE){
modelClasses <- unlist(lapply(models, class))
pkgMap = list(
gbm = "gbm", rpart = "rpart", svm.formula = "e1071", svm = "e1071",
naiveBayes = "e1071", svyglm = "survey", nnet.formula = "nnet",
randomForest.formula = "randomForest", earth = "earth"
)
pkgsToLoad <- unique(unlist(pkgMap[modelClasses]))
if (load){
for(pkg in pkgsToLoad) library(pkg, character.only = TRUE)
}
pkgsToLoad
}
To Do
checkXvars
and uncomment it.I think, we should let the user set a seed for reproducibility purposes. Without a seed, the results will vary every run and sometimes that is not desirable.
The model call appears to not store the Laplace smoothing parameter from Naive Bayes models. Thus, the tool currently errors when these models are used. We need to figure out an appropriate way to deal with this issue. Some ideas include:
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