From: Benjamin Auder <benjamin.auder@somewhere>
Date: Thu, 18 May 2017 14:06:29 +0000 (+0200)
Subject: 'update'
X-Git-Url: https://git.auder.net/assets/js/%7B%7B%20path%28%27mixstore_user_board%27%29%20%7D%7D?a=commitdiff_plain;h=8ab6420267542d34b7428f978aa76ba939b9754b;p=talweg.git

'update'
---

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index ac6dc89..e3a14af 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: 6.0.1
+RoxygenNote: 5.0.1
 Collate:
     'plot.R'
     'computeError.R'
diff --git a/pkg/R/Forecaster.R b/pkg/R/Forecaster.R
index 2b259fc..784f86e 100644
--- a/pkg/R/Forecaster.R
+++ b/pkg/R/Forecaster.R
@@ -59,6 +59,10 @@ Forecaster = R6::R6Class("Forecaster",
 		{
 			# Parameters (potentially) computed during shape prediction stage
 			predicted_shape <- self$predictShape(data,today,memory,predict_from,horizon,...)
+
+			if (is.na(predicted_shape))
+				return (NA)
+
 			predicted_delta <-
 				if (is.null(private$.pjump))
 					NULL
diff --git a/pkg/R/J_Neighbors.R b/pkg/R/J_Neighbors.R
index 2caedc5..ceea803 100644
--- a/pkg/R/J_Neighbors.R
+++ b/pkg/R/J_Neighbors.R
@@ -18,6 +18,9 @@ getNeighborsJumpPredict = function(data, today, memory, predict_from, horizon,
 	indices = params$indices[filter]
 	weights = params$weights[filter]
 
+	if (is.na(indices[1]))
+		return (NA)
+
 	gaps = sapply(indices, function(i) {
 		if (predict_from >= 2)
 			data$getSerie(i)[predict_from] - data$getSerie(i)[predict_from-1]
diff --git a/pkg/R/computeForecast.R b/pkg/R/computeForecast.R
index c778d66..e1b29b6 100644
--- a/pkg/R/computeForecast.R
+++ b/pkg/R/computeForecast.R
@@ -27,6 +27,7 @@
 #' @param memory Data depth (in days) to be used for prediction.
 #' @param horizon Last time step to predict.
 #' @param ncores Number of cores for parallel execution (1 to disable).
+#' @param verbose TRUE to print basic traces (runs beginnings)
 #' @param ... Additional parameters for the forecasting models.
 #'
 #' @return An object of class Forecast
@@ -60,7 +61,7 @@
 #' } }
 #' @export
 computeForecast = function(data, indices, forecaster, pjump, predict_from,
-	memory=Inf, horizon=length(data$getSerie(1)), ncores=3, ...)
+	memory=Inf, horizon=length(data$getSerie(1)), ncores=3, verbose=FALSE, ...)
 {
 	# (basic) Arguments sanity checks
 	predict_from = as.integer(predict_from)[1]
@@ -89,6 +90,8 @@ computeForecast = function(data, indices, forecaster, pjump, predict_from,
 
 	computeOneForecast <- function(i)
 	{
+		if (verbose)
+			print(paste("Index",i))
 		list(
 			"forecast" = forecaster$predictSerie(data,i,memory,predict_from,horizon,...),
 			"params" = forecaster$getParameters(),