5d179db25f
Pasternak, and modified by me. Reverend is a general purpose Bayesian classifier, named after Rev. Thomas Bayes. Use the Reverend to quickly add Bayesian smarts to your app. To use it in your own application, you either subclass Bayes or pass it a tokenizing function. Bayesian fun has never been so quick and easy.
31 lines
1.1 KiB
Text
31 lines
1.1 KiB
Text
@comment $NetBSD: PLIST,v 1.1.1.1 2004/02/27 02:26:47 minskim Exp $
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${PYSITELIB}/reverend/__init__.py
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${PYSITELIB}/reverend/__init__.pyc
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${PYSITELIB}/reverend/__init__.pyo
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${PYSITELIB}/reverend/guessers/__init__.py
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${PYSITELIB}/reverend/guessers/__init__.pyc
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${PYSITELIB}/reverend/guessers/__init__.pyo
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${PYSITELIB}/reverend/guessers/email.py
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${PYSITELIB}/reverend/guessers/email.pyc
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${PYSITELIB}/reverend/guessers/email.pyo
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${PYSITELIB}/reverend/splitter.py
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${PYSITELIB}/reverend/splitter.pyc
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${PYSITELIB}/reverend/splitter.pyo
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${PYSITELIB}/reverend/thomas.py
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${PYSITELIB}/reverend/thomas.pyc
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${PYSITELIB}/reverend/thomas.pyo
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${PYSITELIB}/reverend/ui/__init__.py
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${PYSITELIB}/reverend/ui/__init__.pyc
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${PYSITELIB}/reverend/ui/__init__.pyo
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${PYSITELIB}/reverend/ui/tester.py
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${PYSITELIB}/reverend/ui/tester.pyc
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${PYSITELIB}/reverend/ui/tester.pyo
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${PYSITELIB}/reverend/ui/trainer.py
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${PYSITELIB}/reverend/ui/trainer.pyc
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${PYSITELIB}/reverend/ui/trainer.pyo
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${PYSITELIB}/reverend/ui/util.py
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${PYSITELIB}/reverend/ui/util.pyc
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${PYSITELIB}/reverend/ui/util.pyo
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@dirrm ${PYSITELIB}/reverend/ui
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@dirrm ${PYSITELIB}/reverend/guessers
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@dirrm ${PYSITELIB}/reverend
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