have a huge (over 10 million rows, 5000 columns) sparse matrix stored as simple_triplet_matrix. I also want to utilize the fast index feature (among others) of data.table. So I am wondering if data.table is memory efficient for sparse data? And, is there anyway to convert simple_triplet_matrix into data.table without the intermediate as.matrix() operation which is way too slow.
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