lexvec | LexVec word embedding model | Natural Language Processing library
kandi X-RAY | lexvec Summary
kandi X-RAY | lexvec Summary
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks, as described in these papers.
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QUESTION
Problem: line shuffle a T terabyte text file containing n lines (same line can appear multiple times in the text file) given Z terabytes of RAM, where T = Z * 100. Quasi-shuffling is fine.
Presently I'm using this Python implementation, which performs a quasi-shuffle, but it's somewhat slow. The algorithm is O(n) so I believe the slowness is caused by Python. I was thinking about re-implementing it in C but before doing that I was wondering if anyone knew of an existing solution.
Things that DO NOT work: GNU shuf (loads entire file to be shuffled in memory), GNU sort -R (hashes each line and so output identical lines adjacently).
...ANSWER
Answered 2017-Aug-13 at 01:21I solved the problem with the following C++ implementation that is significantly faster: https://github.com/alexandres/terashuf
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Install lexvec
Install the Go compiler and clang.
Make sure your $GOPATH is set
Execute the following commands in your terminal: $ go get github.com/alexandres/lexvec $ cd $GOPATH/src/github.com/alexandres/lexvec $ make
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