diff options
| author | Rong-En Fan <rafan@FreeBSD.org> | 2007-07-28 07:09:40 +0000 |
|---|---|---|
| committer | Rong-En Fan <rafan@FreeBSD.org> | 2007-07-28 07:09:40 +0000 |
| commit | a649a6476d929144d73b7618e1a61e83330ffdd0 (patch) | |
| tree | 3389607cd7db0f0a08223f593778f9ba8ba3d7dc /science/liblinear | |
| parent | abc16cfaf60b8e69cd676b7163f66924d3aaea35 (diff) | |
| download | ports-a649a6476d929144d73b7618e1a61e83330ffdd0.tar.gz ports-a649a6476d929144d73b7618e1a61e83330ffdd0.zip | |
Notes
Diffstat (limited to 'science/liblinear')
| -rw-r--r-- | science/liblinear/Makefile | 19 | ||||
| -rw-r--r-- | science/liblinear/distinfo | 6 | ||||
| -rw-r--r-- | science/liblinear/pkg-descr | 11 |
3 files changed, 19 insertions, 17 deletions
diff --git a/science/liblinear/Makefile b/science/liblinear/Makefile index 5b83bd02b798..9caeb09f5885 100644 --- a/science/liblinear/Makefile +++ b/science/liblinear/Makefile @@ -5,20 +5,21 @@ # $FreeBSD$ # -PORTNAME= liblr -PORTVERSION= 1.00 +PORTNAME= liblinear +PORTVERSION= 1.10 CATEGORIES= science math -MASTER_SITES= http://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/ +MASTER_SITES= http://www.csie.ntu.edu.tw/~cjlin/liblinear/ \ + http://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/ DISTNAME= ${PORTNAME}-${PORTVERSION:C/0$//} MAINTAINER= rafan@FreeBSD.org -COMMENT= A library for Large Regularized Logistic Regression +COMMENT= A library for Large Linear Classification OPTIONS= OCFLAGS "Use optimized CFLAGS" On USE_ZIP= yes -MAKE_ENV= CC="${CC}" CXXC="${CXX}" +MAKE_ENV= CC="${CC}" CXX="${CXX}" TXT_DOCS= COPYRIGHT README @@ -26,18 +27,18 @@ TXT_DOCS= COPYRIGHT README PORTDOCS= ${TXT_DOCS} .endif -PLIST_FILES= bin/lr-train bin/lr-predict +PLIST_FILES= bin/train bin/predict .include <bsd.port.pre.mk> .if !defined(WITHOUT_OCFLAGS) -# same as LIBIR itself +# same as LIBLINEAR itself CFLAGS= -Wall -O3 .endif do-install: - ${INSTALL_PROGRAM} ${WRKSRC}/lr-train ${TARGETDIR}/bin/ - ${INSTALL_PROGRAM} ${WRKSRC}/lr-predict ${TARGETDIR}/bin/ + ${INSTALL_PROGRAM} ${WRKSRC}/train ${PREFIX}/bin + ${INSTALL_PROGRAM} ${WRKSRC}/predict ${PREFIX}/bin post-install: .if !defined(NOPORTDOCS) diff --git a/science/liblinear/distinfo b/science/liblinear/distinfo index 6f6dff9396e7..db96c5b49ded 100644 --- a/science/liblinear/distinfo +++ b/science/liblinear/distinfo @@ -1,3 +1,3 @@ -MD5 (liblr-1.0.zip) = 6407b44f889c1465df341d5242f30480 -SHA256 (liblr-1.0.zip) = 1435e9dd96f9723872dc624d0ea3a12b0b6ab5d7240f41765c3fd69677bcbed3 -SIZE (liblr-1.0.zip) = 153199 +MD5 (liblinear-1.1.zip) = 72d650983942c19b53e0ee683da4da64 +SHA256 (liblinear-1.1.zip) = 6a2e221befad0f16b32971144fb243373cf4614689aeefd8c83765039b3e0e1d +SIZE (liblinear-1.1.zip) = 183990 diff --git a/science/liblinear/pkg-descr b/science/liblinear/pkg-descr index 572349efc4bf..e9f2edc6176d 100644 --- a/science/liblinear/pkg-descr +++ b/science/liblinear/pkg-descr @@ -1,16 +1,17 @@ -LIBLR is a linear classifier for data with millions of instances and -features. It implement a trust region Newton method in +LIBLINEAR is a linear classifier for data with millions of instances and +features. It supports both logistic regression and L2-loss linear SVM using 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 +Main features of LIBLINEAR include Same data format as LIBSVM and similar usage One-vs-the rest multi-class classification Cross validation for model selection -Probability estimates +Probability estimates (logistic regression only) Weights for unbalanced data -WWW: http://www.csie.ntu.edu.tw/~cjlin/liblr/ +WWW: http://www.csie.ntu.edu.tw/~cjlin/liblinear/ |