Date: Tue, 28 Nov 2017 17:08:45 +0000 (UTC) From: Dan Langille <dvl@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r455065 - head/devel/py-naiveBayesClassifier Message-ID: <201711281708.vASH8j28078916@repo.freebsd.org>
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Author: dvl Date: Tue Nov 28 17:08:45 2017 New Revision: 455065 URL: https://svnweb.freebsd.org/changeset/ports/455065 Log: Provide a better description of what this is. Reported by: Alexy Dokuchaev & Adam Weinberger Modified: head/devel/py-naiveBayesClassifier/Makefile head/devel/py-naiveBayesClassifier/pkg-descr Modified: head/devel/py-naiveBayesClassifier/Makefile ============================================================================== --- head/devel/py-naiveBayesClassifier/Makefile Tue Nov 28 16:57:42 2017 (r455064) +++ head/devel/py-naiveBayesClassifier/Makefile Tue Nov 28 17:08:45 2017 (r455065) @@ -3,6 +3,7 @@ PORTNAME= naiveBayesClassifier PORTVERSION= 0.1.3 +PORTREVISION= 1 CATEGORIES= devel python MASTER_SITES= CHEESESHOP PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} Modified: head/devel/py-naiveBayesClassifier/pkg-descr ============================================================================== --- head/devel/py-naiveBayesClassifier/pkg-descr Tue Nov 28 16:57:42 2017 (r455064) +++ head/devel/py-naiveBayesClassifier/pkg-descr Tue Nov 28 17:08:45 2017 (r455065) @@ -1,4 +1,21 @@ -yet another general purpose Naive Bayesian classifier. +Yet another general purpose Naive Bayesian classifier. (under heavy development) + +Naive Bayes Classifier is probably the most widely used text classifier, +it's a supervised learning algorithm. It can be used to classify blog posts +or news articles into different categories like sports, entertainment and +so forth. + +Naive Bayes is a simple technique for constructing classifiers: models that +assign class labels to problem instances, represented as vectors of feature +values, where the class labels are drawn from some finite set. It is not a +single algorithm for training such classifiers, but a family of algorithms +based on a common principle: all naive Bayes classifiers assume that the value +of a particular feature is independent of the value of any other feature, +given the class variable. For example, a fruit may be considered to be an apple +if it is red, round, and about 10 cm in diameter. A naive Bayes classifier +considers each of these features to contribute independently to the probability +that this fruit is an apple, regardless of any possible correlations between +the color, roundness, and diameter features. WWW: https://pypi.python.org/pypi/naiveBayesClassifier
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