From 6229775fac314692b015d54c250fc87ada2d521b Mon Sep 17 00:00:00 2001
From: Rong-En Fan <rafan@FreeBSD.org>
Date: Sat, 28 Jul 2007 07:10:54 +0000
Subject: - science/liblr is moved to science/liblinear (project renamed)
---
science/Makefile | 2 +-
science/liblr/Makefile | 50 -------------------------------------------------
science/liblr/distinfo | 3 ---
science/liblr/pkg-descr | 16 ----------------
4 files changed, 1 insertion(+), 70 deletions(-)
delete mode 100644 science/liblr/Makefile
delete mode 100644 science/liblr/distinfo
delete mode 100644 science/liblr/pkg-descr
(limited to 'science')
diff --git a/science/Makefile b/science/Makefile
index 6da4bfb638d0..caa20ca259d5 100644
--- a/science/Makefile
+++ b/science/Makefile
@@ -66,7 +66,7 @@
SUBDIR += libctl
SUBDIR += libghemical
SUBDIR += libint
- SUBDIR += liblr
+ SUBDIR += liblinear
SUBDIR += libsvm
SUBDIR += libsvm-python
SUBDIR += linsmith
diff --git a/science/liblr/Makefile b/science/liblr/Makefile
deleted file mode 100644
index 5b83bd02b798..000000000000
--- a/science/liblr/Makefile
+++ /dev/null
@@ -1,50 +0,0 @@
-# New ports collection Makefile for: liblr
-# Date created: May 14 2007
-# Whom: Rong-En Fan <rafan@FreeBSD.org>
-#
-# $FreeBSD$
-#
-
-PORTNAME= liblr
-PORTVERSION= 1.00
-CATEGORIES= science math
-MASTER_SITES= http://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/
-DISTNAME= ${PORTNAME}-${PORTVERSION:C/0$//}
-
-MAINTAINER= rafan@FreeBSD.org
-COMMENT= A library for Large Regularized Logistic Regression
-
-OPTIONS= OCFLAGS "Use optimized CFLAGS" On
-
-USE_ZIP= yes
-
-MAKE_ENV= CC="${CC}" CXXC="${CXX}"
-
-TXT_DOCS= COPYRIGHT README
-
-.if !defined(NOPORTDOCS)
-PORTDOCS= ${TXT_DOCS}
-.endif
-
-PLIST_FILES= bin/lr-train bin/lr-predict
-
-.include <bsd.port.pre.mk>
-
-.if !defined(WITHOUT_OCFLAGS)
-# same as LIBIR itself
-CFLAGS= -Wall -O3
-.endif
-
-do-install:
- ${INSTALL_PROGRAM} ${WRKSRC}/lr-train ${TARGETDIR}/bin/
- ${INSTALL_PROGRAM} ${WRKSRC}/lr-predict ${TARGETDIR}/bin/
-
-post-install:
-.if !defined(NOPORTDOCS)
- @${MKDIR} ${DOCSDIR}
- for f in ${TXT_DOCS}; do \
- ${INSTALL_DATA} ${WRKSRC}/$$f ${DOCSDIR}; \
- done
-.endif
-
-.include <bsd.port.post.mk>
diff --git a/science/liblr/distinfo b/science/liblr/distinfo
deleted file mode 100644
index 6f6dff9396e7..000000000000
--- a/science/liblr/distinfo
+++ /dev/null
@@ -1,3 +0,0 @@
-MD5 (liblr-1.0.zip) = 6407b44f889c1465df341d5242f30480
-SHA256 (liblr-1.0.zip) = 1435e9dd96f9723872dc624d0ea3a12b0b6ab5d7240f41765c3fd69677bcbed3
-SIZE (liblr-1.0.zip) = 153199
diff --git a/science/liblr/pkg-descr b/science/liblr/pkg-descr
deleted file mode 100644
index 572349efc4bf..000000000000
--- a/science/liblr/pkg-descr
+++ /dev/null
@@ -1,16 +0,0 @@
-LIBLR is a linear classifier for data with millions of instances and
-features. It implement a trust region Newton method in
-
-C.-J. Lin, R. C. Weng, and S. S. Keerthi. Trust region Newton method
-for large-scale regularized logistic regression. Technical report, 2007.
-A short version appears in ICML 2007.
-
-Main features of LIBLR include
-
-Same data format as LIBSVM and similar usage
-One-vs-the rest multi-class classification
-Cross validation for model selection
-Probability estimates
-Weights for unbalanced data
-
-WWW: http://www.csie.ntu.edu.tw/~cjlin/liblr/
--
cgit debian/1.2.3+git2.25.1-1-2-gaceb0