Metadata-Version: 2.0
Name: thinc
Version: 5.0.8
Summary: Learn sparse linear models
Home-page: https://github.com/spacy-io/thinc
Author: Matthew Honnibal
Author-email: matt@spacy.io
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy (>=1.7)
Requires-Dist: murmurhash (>=0.26,<0.27)
Requires-Dist: cymem (>=1.30,<1.32)
Requires-Dist: preshed (>=0.46,<0.47)

.. image:: https://travis-ci.org/spacy-io/thinc.svg?branch=master
    :target: https://travis-ci.org/spacy-io/thinc

============================================
thinc: Learn super-sparse multi-class models
============================================

thinc is a Cython library for learning models with millions of parameters and
dozens of classes.  It drives https://spacy.io , a pipeline of very efficient NLP components.
I've only used thinc from Cython; no real Python API is currently available.


