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Test runs did show that parallelization stopped working properly on Linux systems. Using doParallel still works.
Here is a code chunk to replicate the issue:
start_time <- Sys.time() library("CLVTools") library("data.table") library("doFuture") library("doParallel") #ohne die folgenden beiden Zeilen laeuft es schneller! registerDoFuture() plan(multisession) #sollte Multithreading aktivieren, funktioniert aber nicht richtig. data("apparelTrans") clv.apparel <- clvdata(apparelTrans, date.format="ymd", time.unit = "week", estimation.split = 40, name.id = "Id", name.date = "Date", name.price = "Price") data("apparelDynCov") clv.dyn <- SetDynamicCovariates(clv.data = clv.apparel, data.cov.life = apparelDynCov, data.cov.trans = apparelDynCov, names.cov.life = c("Marketing", "Gender", "Channel"), names.cov.trans = c("Marketing", "Gender", "Channel"), name.id = "Id", name.date = "Cov.Date") est.pnbd.dyn <- pnbd(clv.dyn, start.params.model = c(r=1, alpha = 2, s = 1, beta = 2), start.params.life = c(Marketing=0.5, Gender=0.6, Channel=0.4), start.params.trans = c(Marketing=0.5, Gender=0.6, Channel=0.4), optimx.args = list(control=list(trace=6))) summary(est.pnbd.dyn) end_time <- Sys.time() end_time - start_time
To check the core usage use e.g. htop.
htop
Check if related to the following doFuture issue: GitHub Link
The text was updated successfully, but these errors were encountered:
Support for parallelization was removed in PR #158 by using Rcpp for the F2.3 part in the LL of the extended pnbd
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Test runs did show that parallelization stopped working properly on Linux systems. Using doParallel still works.
Here is a code chunk to replicate the issue:
To check the core usage use e.g.
htop
.Check if related to the following doFuture issue: GitHub Link
The text was updated successfully, but these errors were encountered: