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>

5 files changed, 62 insertions, 0 deletions

diff --git a/devel/Makefile b/devel/Makefile
index 3ecbecad94c4..331845553b20 100644
--- a/devel/Makefile
+++ b/devel/Makefile
@@ -404,6 +404,7 @@
     SUBDIR += libast
     SUBDIR += libavl
     SUBDIR += libbfd
+    SUBDIR += libbnr
     SUBDIR += libbonobo
     SUBDIR += libbonobomm
     SUBDIR += libcapsinetwork
diff --git a/devel/libbnr/Makefile b/devel/libbnr/Makefile
new file mode 100644
index 000000000000..55ce44734afa
--- /dev/null
+++ b/devel/libbnr/Makefile
@@ -0,0 +1,35 @@
+# New ports collection makefile for:	libbnr
+# Date created:				2005-02-27
+# Whom:			Ion-Mihai "IOnut" Tetcu<itetcu@people.tecnik93.com>
+#
+# $FreeBSD$
+#
+
+PORTNAME=	libbnr
+PORTVERSION=	2.0.3
+CATEGORIES=	devel mail
+MASTER_SITES=	http://dspam.nuclearelephant.com/sources/extras/ \
+		http://people.tecnik93.com/~itetcu/FreeBSD/ports/libbnr/sources/
+
+MAINTAINER=	itetcu@people.tecnik93.com
+COMMENT=	GPL implementation of the Bayesian Noise Reduction algorithm
+
+USE_LIBTOOL_VER=15
+INSTALLS_SHLIB=	yes
+CONFIGURE_ARGS+=	--includedir=${PREFIX}/include/${PORTNAME}
+
+.ifdef(WITH_DEBUG)
+CFLAGS+=	-g -DDEBUG
+.endif
+
+PORTDOCS=	README
+
+post-install:
+	${MKDIR} ${EXAMPLESDIR}
+	${INSTALL_DATA} ${WRKSRC}/example.c ${EXAMPLESDIR}
+.ifndef(NOPORTDOCS)
+	${MKDIR} ${DOCSDIR}
+	${INSTALL_DATA} ${WRKSRC}/${PORTDOCS} ${DOCSDIR}
+.endif
+
+.include <bsd.port.mk>
diff --git a/devel/libbnr/distinfo b/devel/libbnr/distinfo
new file mode 100644
index 000000000000..3e96a3ddd0b5
--- /dev/null
+++ b/devel/libbnr/distinfo
@@ -0,0 +1,2 @@
+MD5 (libbnr-2.0.3.tar.gz) = 4bbff2cab5d352c6d3bdbb706037e40e
+SIZE (libbnr-2.0.3.tar.gz) = 293199
diff --git a/devel/libbnr/pkg-descr b/devel/libbnr/pkg-descr
new file mode 100644
index 000000000000..8d2d03f87148
--- /dev/null
+++ b/devel/libbnr/pkg-descr
@@ -0,0 +1,15 @@
+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.
+
+BNR is used in Dspam (mail/dspam, mail/dspam-devel - the ports don't depent on
+this one)
+
+See www for white-paper and presentation.
+
+WWW: http://www.nuclearelephant.com/papers/bnr.html
diff --git a/devel/libbnr/pkg-plist b/devel/libbnr/pkg-plist
new file mode 100644
index 000000000000..fb88e0ef61b2
--- /dev/null
+++ b/devel/libbnr/pkg-plist
@@ -0,0 +1,9 @@
+include/libbnr/bnr.h
+include/libbnr/hash.h
+include/libbnr/list.h
+lib/libbnr.a
+lib/libbnr.so
+lib/libbnr.so.2
+%%EXAMPLESDIR%%/example.c
+@dirrm share/examples/libbnr
+@dirrm include/libbnr