-# 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
-# predicted_shape
-# },
+ predictSerie = function(data, today, memory, horizon, ...)
+ {
+ # This method predict shape + level at the same time, all in next call
+ self$predictShape(data, today, memory, horizon, ...)
+ },