In-memory vector space models

[iokuznetsov]

It is technically possible to operate BerkeleyDb in-memory, but this option is not available in the current wrapper classes. Uncompressed models tend to be huge; however, larger machines could benefit from reading vectors from memory directly instead of accessing the disk. The caching option serves this purpose to some extent, but consumes memory very fast.