You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This issue groups three now closed memory-related issues.
(improve memory usage with lmer #66)lmer fitting is memory expensive. At least three copies of the data are created when using multiple processes: in the parent process, in the child process, in the R process embedded in the child process. A solution is to use maxtasksperchild to purge R memory regularly. Another solution is to fit channel by channel, which has the same result.
This issue groups three now closed memory-related issues.
(improve memory usage with lmer #66)
lmer
fitting is memory expensive. At least three copies of the data are created when using multiple processes: in the parent process, in the child process, in the R process embedded in the child process. A solution is to usemaxtasksperchild
to purge R memory regularly. Another solution is to fit channel by channel, which has the same result.(chunk data when running in parallel #67) multiprocessing can't transfer objects > 2 Gb in size. Potential solution is to ensure the chunks are under 2 Gb.
(memory #49) Objects can in general be very large. We can
del
certain attributes (like.data
) and conserve a lot of memory.The text was updated successfully, but these errors were encountered: