diff options
-rw-r--r-- | MOVED | 1 | ||||
-rw-r--r-- | science/Makefile | 2 | ||||
-rw-r--r-- | science/liblr/Makefile | 50 | ||||
-rw-r--r-- | science/liblr/distinfo | 3 | ||||
-rw-r--r-- | science/liblr/pkg-descr | 16 |
5 files changed, 2 insertions, 70 deletions
@@ -3108,3 +3108,4 @@ french/fr-py-qt4-eric4|french/eric4|2007-07-25|Moved to french/eric4 german/de-py-qt4-eric4|german/eric4|2007-07-25|Moved to german/eric4 russian/ru-py-qt4-eric4|russian/eric4|2007-07-25|Moved to russian/eric4 devel/py-qt4-eric4|devel/eric4|2007-07-25|Moved to devel/eric4 +science/liblr|science/liblinear|2007-07-28|Project renamed 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/ |