I am getting when I use ARIMA but if I fix the parameters like d = 1 then it run successfully and give model. I tried ETS model and it also worked as expected. I am running this in databricks DBR 8.0 with following R version -
system x86_64, linux-gnu
svn rev 79318
version.string R version 4.0.3 (2020-10-10)
nickname Bunny-Wunnies Freak Out
However if I run the same in win10 system then it produces expected results.
Following is the code
library(tidyverse) library(data.table) library(lubridate) library(urca) library(fable) library(tsibble) df_model4_impute <- df_model4 %>% as_tsibble(index= cal_dt, key = material) %>% group_by_key() df_model4_impute <- df_model4_impute %>% fill_gaps() %>% fill(observed_cleaned, .direction = "down") fit <- df_model4_impute %>% filter(ZDEPMENT == "F22") %>% model( # ARIMA = ARIMA(observed_cleaned ~ pdq(d=1) + PDQ(D=1)) ARIMA_def = ARIMA(observed_cleaned) # ETS = ETS(observed_cleaned) ) Results - material ARIMA_def <chr> <model> 1 000000000020000005 <NULL model> 2 000000000020001325 <NULL model>
But when I run in Win10 system I get expected results.
Can someone please help?