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hash tables for vectorizing text-based documents

Project description

If you have documents with class labels, and you want to create numeric representations of those documents that maximize inter-class differences, then this package is for you. This package provides vectorizing hash tables that quickly transform your text, optimizing for the maximum distance between document-class vectors.

This project has a C++ backend with a python interface, allowing for maximum speed and maximum interopability.

To get started, check out the docs!

If you will be contributing to this repo, checkout the developer guide.

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vhash-0.0.18.tar.gz (13.0 kB view hashes)

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