Metadata-Version: 2.1
Name: nanotext
Version: 0.0.1
Summary: Domains as words, genomes as documents.
Home-page: UNKNOWN
Author: Adrian Viehweger
Author-email: adrian.viehweger@googlemail.com
License: UNKNOWN
Description: ## nanotext
        
        Name inspired by [`fastText`](https://fasttext.cc/).
        
        Run tests: 
        
        
        ```bash
        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
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
