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freebsd-ports/devel/libbnr/Makefile

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Add NO_STAGE all over the place in preparation for the staging support (cat: devel part 3)
2013-09-20 19:13:42 +02:00
# Created by: Ion-Mihai "IOnut" Tetcu<itetcu@people.tecnik93.com>
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
# $FreeBSD$
PORTNAME= libbnr
PORTVERSION= 2.0.3
- Switch to USES=libtool, drop .la files Approved by: portmgr blanket
2014-06-25 20:37:10 +02:00
PORTREVISION= 2
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
CATEGORIES= devel mail
MASTER_SITES= http://dspam.nuclearelephant.com/sources/extras/ \
Adjust MASTER_SITES to an other server of mine
2008-03-25 10:30:14 +01:00
http://T32.TecNik93.com/~itetcu/FreeBSD/ports/${PORTNAME}/sources/
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
- s/INSTALLS_SHLIB/USE_LDCONFIG/ - use my @FreeBSD.org address
2006-06-29 15:20:09 +02:00
MAINTAINER= itetcu@FreeBSD.org
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
COMMENT= GPL implementation of the Bayesian Noise Reduction algorithm
Support stage Use new options format
2014-01-21 01:20:56 +01:00
OPTIONS_DEFINE= DOCS DEBUG
- Switch to USES=libtool, drop .la files Approved by: portmgr blanket
2014-06-25 20:37:10 +02:00
USES= libtool
Conversion to a single libtool environment. Approved by: portmgr (kris)
2006-02-23 11:40:44 +01:00
GNU_CONFIGURE= yes
- s/INSTALLS_SHLIB/USE_LDCONFIG/ - use my @FreeBSD.org address
2006-06-29 15:20:09 +02:00
USE_LDCONFIG= yes
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
CONFIGURE_ARGS+= --includedir=${PREFIX}/include/${PORTNAME}
Support stage Use new options format
2014-01-21 01:20:56 +01:00
DEBUG_CFLAGS= -g -DDEBUG
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
PORTDOCS= README
post-install:
Support stage Use new options format
2014-01-21 01:20:56 +01:00
@${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
${INSTALL_DATA} ${WRKSRC}/example.c ${STAGEDIR}${EXAMPLESDIR}
@${MKDIR} ${STAGEDIR}${DOCSDIR}
${INSTALL_DATA} ${WRKSRC}/${PORTDOCS} ${STAGEDIR}${DOCSDIR}
Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 17:00:01 +01:00
.include <bsd.port.mk>
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