{
data = getDataTest(150)
- # index 143 : serie type 2
- pred = computeForecast(data, 143, "Neighbors", "Zero",
+
+
+
+#TODO: debug
+
+
+
+ # index 144-1 == 143 : serie type 2
+ pred = computeForecast(data, 143, "Neighbors", "Zero", predict_from=8,
horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, h_window=1)
- f = computeFilaments(data, pred, 1, limit=60, plot=FALSE)
+ f = computeFilaments(data, pred, 1, 8, limit=60, plot=FALSE)
# Expected output: 50-3-10 series of type 2, then 23 series of type 3 (closest next)
expect_identical(length(f$neighb_indices), as.integer(60))
expect_match(f$colors[1], "#1*")
expect_match(f$colors[38], "#E*")
- # index 142 : serie type 1
- pred = computeForecast(data, 142, "Neighbors", "Zero",
+ # index 143-1 == 142 : serie type 1
+ pred = computeForecast(data, 143, "Neighbors", "Zero", predict_from=8,
horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, h_window=1)
- f = computeFilaments(data, pred, 1, limit=50, plot=FALSE)
+ f = computeFilaments(data, pred, 1, 8, limit=50, plot=FALSE)
# Expected output: 50-10-3 series of type 1, then 13 series of type 3 (closest next)
# NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[
expect_identical(length(f$neighb_indices), as.integer(50))
expect_identical(length(f$colors), as.integer(50))
- expect_equal(f$index, 142)
+ expect_equal(f$index, 143)
expect_true(all(I(f$neighb_indices) != 2))
for (i in 1:37)
{