Error In Task 1 Failed
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Error In Task 1 Failed - Incorrect Number Of Dimensions
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Error In Task 1 Failed - Non-numeric Argument To Binary Operator
6 Calling a function that includes foreach %dopar% construct from optim causes an error: > workers <- startWorkers(6) # 6 cores > > registerDoSMP(workers) > > t0 <- Sys.time() > > optim(w,maxProb2,control=list(fnscale=-1)) > > Error in { : task 1 failed - "unused argument(s) (isPrebuilt = TRUE)" > > Sys.time()-t0 > > Time difference of 2.032 secs > > stopWorkers(workers) The called function looks like that: > maxProb2 <- function(wp) { >
Error In Task 1 Failed - Could Not Find Function Dopar
> r <- foreach (i=s0:s1, .combine=c) %dopar% { pf(i,x[i,5],wp,isPrebuilt=TRUE) } > > cat("w=",wp,"max=",sum(r),"\n") > > sum(r) > > } pf is some other function, x is a static table of pre-computed elements. Also calling the function to be optimized just once causes the same error: > workers <- startWorkers(6) # 6 cores > > Warning message: > In startWorkers(6) : there is an existing doSMP session using doSMP1 > > registerDoSMP(workers) > > maxProb2(w) > Error in { : task 1 failed - "unused argument(s) (isPrebuilt = TRUE)" > > stopWorkers(workers) What's strange, the identical code works fine when called directly a single time (optim calles the same function many times): > workers <- startWorkers(6) # 6 - ilosc rdzeni > > Warning message: > In startWorkers(6) : there is an existing doSMP session using doSMP1 > > registerDoSMP(workers) > > r <- foreach (i=s0:s1, .combine=c) %dopar% { pf(i,x[i,5],w,isPrebuilt=TRUE) } > > sum(r) > [1] 187.1781 > > stopWorkers(workers) The called function (maxProb2) works fine, when %do% is used instead of %dopar%. How can I correctly call a function including a foreach %dopar% construction? UPDATE 2011-07-17: I have renamed the pf function into probf but the problem remains. probf functions is defined in the script, not in some external package. Two notes: O
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Error In Task 1 Failed - Cannot Open The Connection
policies of this site About Us Learn more about Stack Overflow the company Business Learn more error in task 1 failed - object not found about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community http://stackoverflow.com/questions/6689937/r-problem-with-foreach-dopar-inside-function-called-by-optim Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Error in { : task 1 failed - “could not find function ”knn“” up vote 0 down vote favorite 1 I am trying to run a parallel http://stackoverflow.com/questions/33463359/error-in-task-1-failed-could-not-find-function-knn kNN program on R but I get this error: Error in { : task 1 failed - "could not find function "knn"" This is the program: library(class) library(doSNOW) library(foreach) train <- read.csv('train.csv') test <- read.csv('test.csv') trainY <- read.csv('trainY.csv') cl <- as.vector(as.matrix(trainY)) system.time(summary(knn(train, test, cl, k=25, prob = TRUE))) clus <- makeCluster(4) registerDoSNOW(clus) countrows=nrow(test) system.time(foreach( icount(countrows) ) %dopar% { summary(knn(train, test, cl, k=25, prob = TRUE)) }) stopCluster(clus) r windows parallel-processing knn share|improve this question asked Nov 1 '15 at 14:41 Nanditha Elango 1 add a comment| 1 Answer 1 active oldest votes up vote 4 down vote You need to call library(class) on each of the nodes. foreach makes this easy via the .packages argument. system.time(foreach( icount(countrows), .packages="class" ) %dopar% { summary(knn(train, test, cl, k=25, prob = TRUE)) }) You might also need to export train, test, and cl. system.time( foreach( icount(countrows), .packages="class", .export=c("train","test","cl") ) %dopar% { summary(knn(train, test, cl, k=25,
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us http://stackoverflow.com/questions/36572131/r-foreach-could-not-find-function-dopar Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up R foreach could not find function “%dopar%” up error in vote 1 down vote favorite When I using the doParallel library, I encountered this weird error, the system throws this " Error in { : task 1 failed -could not find function "%dopar%" To be specific, this is what I did library(doParallel) cl <- makeCluster(4) registerDoParallel(cl) # Read the data coin95 <-read.csv('~/Documents/coin95.csv') coin95 <- coin95[,!(names(coin95) %in% c("X"))] coin95[c("Person")] <- sapply(coin95[c("Person")],as.character) # create the name list coin95_name <- as.character(coin95$Person) error in task coin95_name <- unique(coin95_name) n <- as.numeric(length(coin95_name)) # the average counting process ntw <- function(now){ foreach (Ii = coin95_name,.combine = "+",.export = c("coin95","n")) %dopar% { time <-subset(coin95, subset = coin95$Person == Ii)$duration stepfun(time,seq(0,length(time)))(now)/n } } # the average cumulative hazard lambda <- function(now,params){ b <- params[1] sigma <- params[2] mu <- params[3] xi <- params[4] beta1 <- params[5] beta2 <- params[6] k <- function(spread){ L0 <- (1+(spread -mu)*xi/sigma)^(-1/xi) return(L0) } foreach(Ii = coin95_name,.combine = "+",.export = c("coin95","n")) %dopar% { time <- subset(coin95, subset = coin95$Person == Ii)$duration noncov <- subset(coin95, subset = coin95$Person == Ii)$noncovered reim <- subset(coin95, subset = coin95$Person == Ii)$reimbursement (b*now+sum( exp(-k(now-time[(time < now)])+beta1*noncov[(time < now)]+beta2*reim[(time