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authorminskim <minskim>2004-02-27 02:26:47 +0000
committerminskim <minskim>2004-02-27 02:26:47 +0000
commit693c11c50537f1d887add2b5f0c6c70152e8e2fb (patch)
treeccff436b859ddf9286e0db4eb7af7734d43c6aee /textproc/py-Reverend/DESCR
parentd56e5ae769b45a795f9b34a8c5b4339162b563b7 (diff)
downloadpkgsrc-693c11c50537f1d887add2b5f0c6c70152e8e2fb.tar.gz
Import py-Reverend-0.2.4 from pkgsrc-wip. Packaged by Michal
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.
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+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.
+
+Stuff you can do with the Reverend:
+- classify RSS stories
+- classify recipes by cuisine
+- who do you write like? Shakespeare, Dickens or Austen
+- detect the language of a document
+- is your code more like Guido's or Peter's