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benchmarks Mechanism for preprocessing steps (#160) Aug 1, 2017
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examples
freediscovery Version 1.4.dev0 Jul 1, 2018
.codecov.yml Generating `document_id` from document filenames (#150) Jun 2, 2017
.coveragerc Generating `document_id` from document filenames (#150) Jun 2, 2017
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README.rst Add example for SmartTtidfTransformer (#173) Sep 29, 2017
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README.rst

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https://travis-ci.org/FreeDiscovery/FreeDiscovery.svg?branch=master https://ci.appveyor.com/api/projects/status/w5kjscmqlrlehp5t/branch/master?svg=true

FreeDiscovery is an open source e-Discovery and information retrieval engine. It is based on the scikit-learn library and has two main components,

  • FreeDiscovery Engine provides a REST API for information retrieval applications. It aims to benefit existing e-Discovery and information retrieval platforms with a focus on text categorization, semantic search, document clustering, duplicates detection and e-mail threading.

    See freediscovery.io/doc/stable/engine

  • FreeDiscovery Core is a Python package that extends scikit-learn with additional information retrieval functionality.

    See freediscovery.io/doc/stable/python

FreeDiscovery is released under the 3-clause BSD licence.

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