#' \item{\code{initialize(data, pjump)}}
#' {Initialize a Forecaster object with a Data object and a jump prediction function.}
#' \item{\code{predictSerie(today,memory,horizon,...)}}
-#' {Predict a new serie of \code{horizon} values at day index \code{today} using \code{memory}
-#' days in the past.}
+#' {Predict a new serie of \code{horizon} values at day index \code{today}
+#' using \code{memory} days in the past.}
#' \item{\code{predictShape(today,memory,horizon,...)}}
-#' {Predict a new shape of \code{horizon} values at day index \code{today} using \code{memory}
-#' days in the past.}
+#' {Predict a new shape of \code{horizon} values at day index \code{today}
+#' using \code{memory} days in the past.}
#' \item{\code{getParameters()}}
#' {Return (internal) parameters.}}
Forecaster = R6::R6Class("Forecaster",
{
# Parameters (potentially) computed during shape prediction stage
predicted_shape = self$predictShape(today, memory, horizon, ...)
- predicted_delta = private$.pjump(private$.data,today,memory,horizon,private$.params,...)
+ predicted_delta = private$.pjump(
+ private$.data, today, memory, horizon, private$.params, ...)
# Predicted shape is aligned it on the end of current day + jump
- predicted_shape+tail(private$.data$getSerie(today),1)-predicted_shape[1]+predicted_delta
+ predicted_shape + tail(private$.data$getSerie(today),1) -
+ predicted_shape[1] + predicted_delta
},
predictShape = function(today, memory, horizon, ...)
NULL #empty default implementation: to implement in inherited classes