Dear Spark folks, Is there somewhere a guideline on the density tipping point when it makes more sense to use a spark ml dense vector vs. a sparse vector with regards to the memory usage on fairly large (image processing) vectors? My google-foo didn't deliver me anything useful.
Thanks in advance! Gerard.
