Domains as words, genomes as documents.
Name inspired by
cd .../nanotext/ pytest # or python setup.py test
TODO: turn embedding in gensim fmt into something similar to glove (bin?) would then be easier to train/ unfreeze and then save again, to be loaded w/ some model eg for PUL prediction https://github.com/plasticityai/magnitude nanotext compute takes annotation (load domains) and our model and computes vector nanotext train corpus model nanotext compare ... nanotext search ... nanotext taxonomy (calculate a gtdb based taxonomy and get closest functional genome and use that or distance) like sourmash really check sourmash publication nanotext predict model=medium nanotext predict model=pul
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