Mice Imputation failing

[khurram_siddiqui]

[https://rstudio.cloud/spaces/16265/project/329636]

I am trying to impute null values from one of dataset where number of columns are 292 and observations are 30,000. I am using parallel mice imputation package which is a wrapper function, every time when i run last line of code for imputation using parlmice , it pops up a window with message

"The Previous R session was abnormally terminated due to an unexpected crash
You may have lost workspace data as a result of this crash"

library(mice)
library(parallel)
detectCores()
train<-read.csv("train.csv",header=TRUE)
imp.cart<-parlmice(train,m = 5, printFlag = TRUE,n.core=15, type = "FORK")

Why it so please?

[seans]

Sorry you are running into issues. I don't know that particular package very well... but this does sound similar to this issue,

cluster doesn't work in Rstudio Cloud: error serialize open connection

I had high hopes for the Rstudio Cloud but became quite desperate that it doesn't run in cluster mode - which would be a major advantage over using a local machine. Would be very very happy to receive any concrete advice how to solve this. Reducing the number of cores doesn't matter - any number leads to the same error. . The following caret::train code runs without problems on my MacBook Pro (MacOs Mojave): system.time( models.list <- algorithm_list %>% map(function(algorithm_label) { train(formula1 , method = algorithm_label , data = if (is.null(try_first)) training.set else head(training.set, try_first) , preProcess = c("ce…

detectCores() in particular doesn't return the correct number of cores on cloud, and it looks like you are setting the number of cores to 15 (n.core=15). So I'd be curious if setting that to 1 fixes the issue.

Sean

[khurram_siddiqui]

Thanks Sean, i think i should see some other reliable alternate