openbsd-ports/math/libneural/Makefile

# $OpenBSD: Makefile,v 1.3 2010/07/18 10:50:12 steven Exp $

SHARED_ONLY=		Yes

COMMENT=		three layer backpropagation neural network library

DISTNAME=		libneural-1.0.3
REVISION=		0
SHARED_LIBS +=	neural               0.0      # .0.0
CATEGORIES=		math devel

HOMEPAGE=		http://ieee.uow.edu.au/~daniel/software/libneural/

# LGPLv2
PERMIT_PACKAGE_CDROM=	Yes
PERMIT_PACKAGE_FTP=	Yes
PERMIT_DISTFILES_CDROM=	Yes
PERMIT_DISTFILES_FTP=	Yes

MASTER_SITES=		${HOMEPAGE}

WANTLIB += m

USE_LIBTOOL=		Yes

CONFIGURE_STYLE=	gnu

post-extract:
	chmod +x ${WRKSRC}/configure

.include <bsd.port.mk>
REVISION 2010-07-18 06:50:11 -04:00			`# $OpenBSD: Makefile,v 1.3 2010/07/18 10:50:12 steven Exp $`
import libneural 1.0.3 libneural is an extremely tiny library for creating a software three layer backpropagation neural network. This is useful for a very wide variety of pattern recognition and classification problems. It is written in C++, based on the standard algorithm with NO fancy features like bias terms or momentum. 2008-09-08 14:46:57 -04:00
			`SHARED_ONLY= Yes`

			`COMMENT= three layer backpropagation neural network library`

			`DISTNAME= libneural-1.0.3`
REVISION 2010-07-18 06:50:11 -04:00			`REVISION= 0`
import libneural 1.0.3 libneural is an extremely tiny library for creating a software three layer backpropagation neural network. This is useful for a very wide variety of pattern recognition and classification problems. It is written in C++, based on the standard algorithm with NO fancy features like bias terms or momentum. 2008-09-08 14:46:57 -04:00			`SHARED_LIBS += neural 0.0 # .0.0`
			`CATEGORIES= math devel`

			`HOMEPAGE= http://ieee.uow.edu.au/~daniel/software/libneural/`

			`# LGPLv2`
			`PERMIT_PACKAGE_CDROM= Yes`
			`PERMIT_PACKAGE_FTP= Yes`
			`PERMIT_DISTFILES_CDROM= Yes`
			`PERMIT_DISTFILES_FTP= Yes`

			`MASTER_SITES= ${HOMEPAGE}`

fix WANTLIB and bump. 2009-03-11 05:16:16 -04:00			`WANTLIB += m`

import libneural 1.0.3 libneural is an extremely tiny library for creating a software three layer backpropagation neural network. This is useful for a very wide variety of pattern recognition and classification problems. It is written in C++, based on the standard algorithm with NO fancy features like bias terms or momentum. 2008-09-08 14:46:57 -04:00			`USE_LIBTOOL= Yes`

			`CONFIGURE_STYLE= gnu`

			`post-extract:`
			`chmod +x ${WRKSRC}/configure`

			`.include <bsd.port.mk>`