From: Benjamin Auder Date: Wed, 3 May 2017 21:18:11 +0000 (+0200) Subject: investigations on Bruno vs. talweg: a shift overved, and neighbors differ (a bit... X-Git-Url: https://git.auder.net/variants/current/css/doc/scripts/pieces/cq.svg?a=commitdiff_plain;h=5037d6d061b86f7bc4baaf5c4614c6da9c9eaa1b;p=talweg.git investigations on Bruno vs. talweg: a shift overved, and neighbors differ (a bit). Why? --- diff --git a/Etude_En_Cours_R_E_bis.R b/Etude_En_Cours_R_E_bis.R index 457cf79..1fe1387 100644 --- a/Etude_En_Cours_R_E_bis.R +++ b/Etude_En_Cours_R_E_bis.R @@ -106,6 +106,13 @@ Kvois = NULL # w = 1/(D[ind]^2) # w = w/sum(w) # W = w %o% rep(1,48) + +print("Voisins + ij") +print(sort(D)[1:nbvois]) +print(dateJPrev) +print(rownames(data)[ind]) +print(data[ind, 1:48]) + JourMoy = apply(data[ind, 1:48], 2, mean) #JourMoy = apply(W*data[ind, 1:48], 2, sum) NomFile = paste("Voisins_Epandage_PMjour_Hc_",Hc,".png",sep="") diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION index 3aab84c..0aed5da 100644 --- a/pkg/DESCRIPTION +++ b/pkg/DESCRIPTION @@ -23,7 +23,7 @@ Suggests: LazyData: yes URL: http://git.auder.net/?p=talweg.git License: MIT + file LICENSE -RoxygenNote: 5.0.1 +RoxygenNote: 6.0.1 Collate: 'plot.R' 'computeError.R' diff --git a/pkg/R/F_Neighbors.R b/pkg/R/F_Neighbors.R index 60eb7b7..d63c177 100644 --- a/pkg/R/F_Neighbors.R +++ b/pkg/R/F_Neighbors.R @@ -146,12 +146,18 @@ NeighborsForecaster = R6::R6Class("NeighborsForecaster", } return ( data$getSerie(tdays[1])[predict_from:horizon] ) } - max_neighbs = 12 #TODO: 12 = arbitrary number + max_neighbs = 10 #TODO: 12 = arbitrary number if (length(tdays) > max_neighbs) { distances2 <- .computeDistsEndo(data, today, tdays, predict_from) ordering <- order(distances2) tdays <- tdays[ ordering[1:max_neighbs] ] + + print("VVVVV") + print(sort(distances2)[1:max_neighbs]) + print(integerIndexToDate(today,data)) + print(lapply(tdays,function(i) integerIndexToDate(i,data))) + print(rbind(data$getSeries(tdays-1), data$getSeries(tdays))) } } else @@ -281,7 +287,8 @@ NeighborsForecaster = R6::R6Class("NeighborsForecaster", sapply(tdays, function(i) { delta = lastSerie - c(data$getSerie(i-1), data$getSerie(i)[if (predict_from>=2) 1:(predict_from-1) else c()]) - sqrt(mean(delta^2)) +# sqrt(mean(delta^2)) + sqrt(sum(delta^2)) }) }