Metadata-Version: 2.1
Name: microtc
Version: 2.2.10
Summary: A generic minimal text classifier
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
License-File: LICENSE

microTC
==================================

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	   :target: https://github.com/INGEOTEC/microtc/actions/workflows/test.yaml

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.. image:: https://anaconda.org/ingeotec/microtc/badges/version.svg
   :target: https://anaconda.org/ingeotec/microtc

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   :target: https://badge.fury.io/py/microtc

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   :target: https://anaconda.org/ingeotec/microtc

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   :target: https://microtc.readthedocs.io/en/latest/?badge=latest

.. image:: https://colab.research.google.com/assets/colab-badge.svg
   :target: https://colab.research.google.com/github/INGEOTEC/microtc/blob/master/docs/microTC_Quickstart.ipynb	    

microTC is a minimalist text classifier, that is, it is designed to tackle text-classification problems in an agnostic way,
being both domain and language independent. 

microTC is intentionally simple, so only a small number of features
were implemented. However, it uses a some complex tools from numpy
and scikit-lean. The number of dependencies is limited and fulfilled
by almost any Scientific Python distributions, e.g., `Anaconda <https://www.continuum.io/downloads>`_.

The documentation is on `readthedocs <https://microtc.readthedocs.io>`_.


