diff options
| -rw-r--r-- | science/Makefile | 1 | ||||
| -rw-r--r-- | science/liblinear/Makefile | 51 | ||||
| -rw-r--r-- | science/liblinear/distinfo | 3 | ||||
| -rw-r--r-- | science/liblinear/pkg-descr | 16 | ||||
| -rw-r--r-- | science/liblr/Makefile | 51 | ||||
| -rw-r--r-- | science/liblr/distinfo | 3 | ||||
| -rw-r--r-- | science/liblr/pkg-descr | 16 |
7 files changed, 141 insertions, 0 deletions
diff --git a/science/Makefile b/science/Makefile index fb367c0e0f1d..6d13e5a72f07 100644 --- a/science/Makefile +++ b/science/Makefile @@ -62,6 +62,7 @@ SUBDIR += libctl SUBDIR += libghemical SUBDIR += libint + SUBDIR += liblr SUBDIR += libsvm SUBDIR += libsvm-python SUBDIR += linsmith diff --git a/science/liblinear/Makefile b/science/liblinear/Makefile new file mode 100644 index 000000000000..cf551fae1aa2 --- /dev/null +++ b/science/liblinear/Makefile @@ -0,0 +1,51 @@ +# 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/liblr/ \ + http://www.csie.ntu.edu.tw/~cjlin/liblr/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/liblinear/distinfo b/science/liblinear/distinfo new file mode 100644 index 000000000000..6f6dff9396e7 --- /dev/null +++ b/science/liblinear/distinfo @@ -0,0 +1,3 @@ +MD5 (liblr-1.0.zip) = 6407b44f889c1465df341d5242f30480 +SHA256 (liblr-1.0.zip) = 1435e9dd96f9723872dc624d0ea3a12b0b6ab5d7240f41765c3fd69677bcbed3 +SIZE (liblr-1.0.zip) = 153199 diff --git a/science/liblinear/pkg-descr b/science/liblinear/pkg-descr new file mode 100644 index 000000000000..572349efc4bf --- /dev/null +++ b/science/liblinear/pkg-descr @@ -0,0 +1,16 @@ +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/ diff --git a/science/liblr/Makefile b/science/liblr/Makefile new file mode 100644 index 000000000000..cf551fae1aa2 --- /dev/null +++ b/science/liblr/Makefile @@ -0,0 +1,51 @@ +# 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/liblr/ \ + http://www.csie.ntu.edu.tw/~cjlin/liblr/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 new file mode 100644 index 000000000000..6f6dff9396e7 --- /dev/null +++ b/science/liblr/distinfo @@ -0,0 +1,3 @@ +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 new file mode 100644 index 000000000000..572349efc4bf --- /dev/null +++ b/science/liblr/pkg-descr @@ -0,0 +1,16 @@ +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/ |