openbsd-ports/math/p5-Algorithm-NaiveBayes/Makefile

# $OpenBSD: Makefile,v 1.6 2013/03/11 11:23:55 espie Exp $

COMMENT=	Bayesian prediction of categories

DISTNAME=	Algorithm-NaiveBayes-0.04
REVISION=	0
CATEGORIES=	math

# Perl
PERMIT_PACKAGE_CDROM=	Yes

MODULES=		cpan

CONFIGURE_STYLE=	modbuild
USE_GROFF =		Yes

.include <bsd.port.mk>
PERMIT_* / REGRESS->TEST sweep 2013-03-11 07:20:26 -04:00			`# $OpenBSD: Makefile,v 1.6 2013/03/11 11:23:55 espie Exp $`
import p5-Algorithm-NaiveBayes 0.04 This module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reasonably competitive in the quality of its results. 2009-03-31 12:53:43 -04:00
			`COMMENT= Bayesian prediction of categories`

			`DISTNAME= Algorithm-NaiveBayes-0.04`
Bump after recent cpan.port.mk change. ok jasper@ 2010-12-03 06:44:22 -05:00			`REVISION= 0`
import p5-Algorithm-NaiveBayes 0.04 This module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reasonably competitive in the quality of its results. 2009-03-31 12:53:43 -04:00			`CATEGORIES= math`

			`# Perl`
			`PERMIT_PACKAGE_CDROM= Yes`

			`MODULES= cpan`

			`CONFIGURE_STYLE= modbuild`
new depends 2010-11-19 02:23:05 -05:00			`USE_GROFF = Yes`
import p5-Algorithm-NaiveBayes 0.04 This module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reasonably competitive in the quality of its results. 2009-03-31 12:53:43 -04:00
			`.include <bsd.port.mk>`