Closed arth1996 closed 4 years ago
@arth1996 Can you supply some data so I can test your code? It can be fake data, just try to make it similar to the data you are using in the function...
@arth1996 , it's also possible that the TargetName you're supplying might be problematic because it has a space. Could you also try testing it by replacing the space with an underscore?
@DougVegas I just used the example in the help file (worked) then modified the target name to have a space in it, and it still worked. I'm wondering if the date column isn't recognized as a date column. I just had to deal with this on the CARMA functions for when date columns had a "/" in it and it was read in as a character column... Might need to add that correction to AutoTS. Seeing the users data (a snapshot of it) would help
@AdrianAntico attached the fake data. Also, the class of Date column was Date and I had replaced "/" with "-" so, I am not sure if date is the issue.
@arth1996 Thanks for the heads up. I will look into it...
@arth1996 Here's what the data looks like when I save as .csv and pull it into R
Date Reject Qty Kt Release V4 V5 V6 V7 V8 V9 V10 V11 V12
1: 8/1/2017 1.000000 0.000000 NA NA NA NA NA NA NA NA NA
2: 9/1/2017 2.000000 40.000000 NA NA NA NA NA NA NA NA NA
3: 10/1/2017 3.000000 60.000000 NA NA NA NA NA NA NA NA NA
4: 11/1/2017 10.000000 48.666667 NA NA NA NA NA NA NA NA NA
5: 12/1/2017 0.000000 80.000000 NA NA NA NA NA NA NA NA NA
6: 1/1/2018 3.000000 24.000000 NA NA NA NA NA NA NA NA NA
7: 2/1/2018 3.000000 48.666667 NA NA NA NA NA NA NA NA NA
8: 3/1/2018 3.000000 51.333333 NA NA NA NA NA NA NA NA NA
9: 4/1/2018 1.000000 5.333333 NA NA NA NA NA NA NA NA NA
10: 5/1/2018 2.000000 80.000000 NA NA NA NA NA NA NA NA NA
11: 6/1/2018 3.000000 5.333333 NA NA NA NA NA NA NA NA NA
12: 7/1/2018 1.000000 0.000000 NA NA NA NA NA NA NA NA NA
13: 8/1/2018 25.000000 0.000000 NA NA NA NA NA NA NA NA NA
14: 9/1/2018 13.000000 80.000000 NA NA NA NA NA NA NA NA NA
15: 10/1/2018 5.000000 80.000000 NA NA NA NA NA NA NA NA NA
16: 11/1/2018 1.000000 24.000000 NA NA NA NA NA NA NA NA NA
17: 12/1/2018 0.000000 65.000000 NA NA NA NA NA NA NA NA NA
18: 1/1/2019 1.000000 70.000000 NA NA NA NA NA NA NA NA NA
19: 2/1/2019 2.000000 90.000000 NA NA NA NA NA NA NA NA NA
20: 3/1/2019 4.000000 0.000000 NA NA NA NA NA NA NA NA NA
21: 4/1/2019 4.000000 80.000000 NA NA NA NA NA NA NA NA NA
22: 5/1/2019 2.913043 42.666667 NA NA NA NA NA NA NA NA NA
23: 6/1/2019 1.000000 80.000000 NA NA NA NA NA NA NA NA NA
24: 7/1/2019 3.000000 0.000000 NA NA NA NA NA NA NA NA NA
25: NA NA NA NA NA NA NA NA NA NA NA
Date Reject Qty Kt Release V4 V5 V6 V7 V8 V9 V10 V11 V12
> str(data)
Classes ‘data.table’ and 'data.frame': 25 obs. of 12 variables:
$ Date : chr "8/1/2017" "9/1/2017" "10/1/2017" "11/1/2017" ...
$ Reject Qty: num 1 2 3 10 0 3 3 3 1 2 ...
$ Kt Release: num 0 40 60 48.7 80 ...
$ V4 : logi NA NA NA NA NA NA ...
$ V5 : logi NA NA NA NA NA NA ...
$ V6 : logi NA NA NA NA NA NA ...
$ V7 : logi NA NA NA NA NA NA ...
$ V8 : logi NA NA NA NA NA NA ...
$ V9 : logi NA NA NA NA NA NA ...
$ V10 : logi NA NA NA NA NA NA ...
$ V11 : logi NA NA NA NA NA NA ...
$ V12 : logi NA NA NA NA NA NA ...
- attr(*, ".internal.selfref")=<externalptr>
Fixed the issue. You will have to reinstall the package... The data you supplied wasn't liked much by most of the models. With the Arima model, if a model failed to build, it was stopping the function because a data object named Final_metrics wasn't created since no model was built. I added an existence check and it works fine now. However, I would set the SkipModels argument to NULL because I could only get the NNet and TBATS models to build...
# Downloaded xlsx and saved as .csv
# Load csv
data <- data.table::fread(file.choose())
# Keep first two columns
data <- data[, .SD, .SDcols = 1:2]
# Keep only rows 1 through 24
data <- data[1:24]
# Build models (notice the SkipModels argument)
xx <- RemixAutoML::AutoTS(
data = data,
TargetName = 'Reject Qty',
DateName = 'Date',
FCPeriods = 3,
HoldOutPeriods = 4,
EvaluationMetric = 'MAPE',
InnerEval = 'AICc',
TimeUnit = 'month',
Lags = 1,
SLags = 1,
SkipModels = NULL, #c("NNET","TBATS","ETS","TSLM","ARFIMA","DSHW"),
StepWise = TRUE,
TSClean = FALSE,
ModelFreq = TRUE,
PlotPredictionIntervals = TRUE,
PrintUpdates = TRUE)
Hey,
I am trying to run the following code:
output <- AutoTS(kpi, TargetName = 'Reject Qty', DateName = 'month_year', FCPeriods = 3, HoldOutPeriods = 4, EvaluationMetric = 'MAPE', InnerEval = 'AICc', TimeUnit = 'month', Lags = 1, SLags = 1, SkipModels = c("NNET","TBATS","ETS","TSLM","ARFIMA","DSHW"), StepWise = TRUE, TSClean = FALSE, ModelFreq = TRUE, PlotPredictionIntervals = TRUE, PrintUpdates = FALSE)
and getting this error:
Error in ncol(Final_metrics) : object 'Final_metrics' not found
Does anyone know what mistake am I making?