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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size nanotext-0.0.1-py3-none-any.whl (7.3 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size nanotext-0.0.1.tar.gz (5.7 kB)||File type Source||Python version None||Upload date||Hashes View|