#' \item Neighbors : use values from the k closest neighbors' tomorrows
#' \item Average : global average of all the (similar) "tomorrow of past"
#' \item Zero : just output 0 (benchmarking purpose)
-#' \item Level : output a flat serie repeating the last observed level
#' }
#' @param pjump How to predict the jump at the interface between two days ?
#' \itemize{
#' @return An object of class Forecast
#'
#' @examples
-#' data = getData(ts_data="data/pm10_mesures_H_loc.csv", exo_data="data/meteo_extra_noNAs.csv",
-#' input_tz = "Europe/Paris", working_tz="Europe/Paris", predict_at=7)
+#' ts_data = system.file("extdata","pm10_mesures_H_loc.csv",package="talweg")
+#' exo_data = system.file("extdata","meteo_extra_noNAs.csv",package="talweg")
+#' data = getData(ts_data, exo_data, input_tz = "Europe/Paris",
+#' working_tz="Europe/Paris", predict_at=7)
#' pred = getForecast(data, 2200:2230, "Persistence", "Persistence", 500, 12)
#' \dontrun{#Sketch for real-time mode:
#' data = new("Data", ...)
getFromNamespace(paste("get",pjump,"JumpPredict",sep=""), "talweg"))
for (today in indices)
{
+ #pred$append(...) is slow; TODO: use R6 class
pred[[length(pred)+1]] = list(
"serie" = forecaster$predict(today, memory, horizon, ...),
"params" = forecaster$getParameters(),