Good Morning,
I am working with LDA models in R (using both topicmodels::LDA and
quanteda::textmodel_lda) and noticed that the results differ slightly
across different machines, even when I use set.seed(1234) and the same
dataset.
So, I have a few questions:
Is this expected due to BLAS/LAPACK or low-level random number generation
differences?
Is there a recommended way to enforce bit-for-bit reproducibility of LDA
results across machines in R?
Would you recommend always saving fitted models with saveRDS() to ensure
reproducible outputs instead of re-fitting?
Thanks a lot for your guidance.
Best regards,
Jeanne Moreau
[[alternative HTML version deleted]]
______________________________________________
[email protected] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
