| 1 | #' @include Forecaster.R |
| 2 | #' |
| 3 | #' @title Level Forecaster |
| 4 | #' |
| 5 | #' @description Return flat serie of last observed level (on similar day). |
| 6 | #' Inherits \code{\link{ShapeForecaster}} |
| 7 | LevelForecaster = setRefClass( |
| 8 | Class = "LevelForecaster", |
| 9 | contains = "Forecaster", |
| 10 | |
| 11 | methods = list( |
| 12 | initialize = function(...) |
| 13 | { |
| 14 | callSuper(...) |
| 15 | }, |
| 16 | predict = function(today, memory, horizon, all_memory=TRUE, ...) |
| 17 | { |
| 18 | #return last (similar) day level, or on all memory if all_memory==TRUE |
| 19 | first_day = max(1, today-memory) |
| 20 | index = today-7 + 1 |
| 21 | if (all_memory) |
| 22 | { |
| 23 | sum_level = 0. |
| 24 | nb_series = 0 |
| 25 | } |
| 26 | repeat |
| 27 | { |
| 28 | { |
| 29 | last_similar_serie = data$getSerie(index)[1:horizon] |
| 30 | index = index - 7 |
| 31 | }; |
| 32 | #TODO: next test is too strict |
| 33 | if (!any(is.na(last_similar_serie))) |
| 34 | { |
| 35 | if (all_memory) |
| 36 | { |
| 37 | sum_level = sum_level + mean(last_similar_serie) |
| 38 | nb_series = nb_series + 1 |
| 39 | } |
| 40 | else |
| 41 | return (rep(mean(last_similar_serie), horizon)) |
| 42 | }; |
| 43 | if (index < first_day) |
| 44 | { |
| 45 | if (all_memory) |
| 46 | return (rep(sum_level / nb_series, horizon)) |
| 47 | return (NA) |
| 48 | } |
| 49 | } |
| 50 | } |
| 51 | ) |
| 52 | ) |