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diff --git a/talweg/R/Forecaster.R b/talweg/R/Forecaster.R
deleted file mode 100644
index da8579b..0000000
--- a/talweg/R/Forecaster.R
+++ /dev/null
@@ -1,48 +0,0 @@
-#' Forecaster
-#'
-#' Forecaster (abstract class, implemented by all forecasters)
-#'
-#' @docType class
-#' @importFrom R6 R6Class
-#'
-#' @field .params List of computed parameters, for post-run analysis (dev)
-#' @field .pjump Function: how to predict the jump at day interface ?
-#'
-#' @section Methods:
-#' \describe{
-#' \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.}
-#' \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.}
-#' \item{\code{getParameters()}}{
-#'   Return (internal) parameters.}}
-Forecaster = R6::R6Class("Forecaster",
-	private = list(
-		.params = list(),
-		.pjump = NULL
-	),
-	public = list(
-		initialize = function(pjump)
-		{
-			private$.pjump <- pjump
-			invisible(self)
-		},
-		predictSerie = function(data, today, memory, horizon, ...)
-		{
-			# Parameters (potentially) computed during shape prediction stage
-			predicted_shape = self$predictShape(data, today, memory, horizon, ...)
-			predicted_delta = private$.pjump(data,today,memory,horizon,private$.params,...)
-			# Predicted shape is aligned it on the end of current day + jump
-			predicted_shape+tail(data$getSerie(today),1)-predicted_shape[1]+predicted_delta
-		},
-		predictShape = function(data, today, memory, horizon, ...)
-			NULL #empty default implementation: to implement in inherited classes
-		,
-		getParameters = function()
-			private$.params
-	)
-)