X-Git-Url: https://git.auder.net/?p=agghoo.git;a=blobdiff_plain;f=R%2FR6_AgghooCV.R;h=328c1413bc340d38c179bc7f591ff9243a013271;hp=485c678a06d969ecee43fe58ef4cce6d6fcbce68;hb=a7ec4f8a3987ee66daef8471ed1a7a609a987914;hpb=a78bd1c09d34868df1cf11664bfc5cef4a9384d6

diff --git a/R/R6_AgghooCV.R b/R/R6_AgghooCV.R
index 485c678..328c141 100644
--- a/R/R6_AgghooCV.R
+++ b/R/R6_AgghooCV.R
@@ -12,9 +12,12 @@ AgghooCV <- R6::R6Class("AgghooCV",
     #' @description Create a new AgghooCV object.
     #' @param data Matrix or data.frame
     #' @param target Vector of targets (generally numeric or factor)
-    #' @param task "regression" or "classification"
+    #' @param task "regression" or "classification".
+    #'             Default: classification if target not numeric.
     #' @param gmodel Generic model returning a predictive function
+    #'               Default: tree if mixed data, knn/ppr otherwise.
     #' @param loss Function assessing the error of a prediction
+    #'             Default: error rate or mean(abs(error)).
     initialize = function(data, target, task, gmodel, loss) {
       private$data <- data
       private$target <- target