Date: Tue, 16 Apr 2024 19:55:26 GMT From: Rene Ladan <rene@FreeBSD.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org Subject: git: 1ec3fe725231 - main - science/svmlight: Remove expired port Message-ID: <202404161955.43GJtQtL001976@gitrepo.freebsd.org>
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The branch main has been updated by rene: URL: https://cgit.FreeBSD.org/ports/commit/?id=1ec3fe725231efa617a6024162fb734df84fb660 commit 1ec3fe725231efa617a6024162fb734df84fb660 Author: Rene Ladan <rene@FreeBSD.org> AuthorDate: 2024-04-16 19:55:03 +0000 Commit: Rene Ladan <rene@FreeBSD.org> CommitDate: 2024-04-16 19:55:03 +0000 science/svmlight: Remove expired port 2024-04-14 science/svmlight: Unmaintained, last upstream release in 2008 and there are more modern alternatives --- MOVED | 1 + science/Makefile | 1 - science/svmlight/Makefile | 38 -------------------------------------- science/svmlight/distinfo | 5 ----- science/svmlight/pkg-descr | 16 ---------------- science/svmlight/pkg-plist | 6 ------ 6 files changed, 1 insertion(+), 66 deletions(-) diff --git a/MOVED b/MOVED index 14949dbb8a85..180060f125e8 100644 --- a/MOVED +++ b/MOVED @@ -3183,3 +3183,4 @@ x11/xdtm||2024-04-13|Has expired: Unmaintained, last upstream release was in 200 x11/multi-aterm||2024-04-13|Has expired: Unmaintained, last upstream release in 2004 devel/py-dateutil|devel/py-python-dateutil|2024-04-13|Move devel/py-dateutil to devel/py-python-dateutil science/p5-Algorithm-SVMLight||2024-04-16|Has expired: Depends on DEPRECATED science/svmlight +science/svmlight||2024-04-16|Has expired: Unmaintained, last upstream release in 2008 and there are more modern alternatives diff --git a/science/Makefile b/science/Makefile index 5c68175f2c7c..a3605755af46 100644 --- a/science/Makefile +++ b/science/Makefile @@ -482,7 +482,6 @@ SUBDIR += spglib SUBDIR += spheral SUBDIR += step - SUBDIR += svmlight SUBDIR += tblite SUBDIR += teem SUBDIR += tfel diff --git a/science/svmlight/Makefile b/science/svmlight/Makefile deleted file mode 100644 index 3d8276f13c75..000000000000 --- a/science/svmlight/Makefile +++ /dev/null @@ -1,38 +0,0 @@ -PORTNAME= svmlight -PORTVERSION= 6.02 -PORTREVISION= 3 -CATEGORIES= science -MASTER_SITES= https://osmot.cs.cornell.edu/svm_light/v${PORTVERSION}/ -DISTNAME= svm_light - -MAINTAINER= bofh@FreeBSD.org -COMMENT= Implementation of Support Vector Machines (SVMs) in C -WWW= https://svmlight.joachims.org/ - -LICENSE= SVM-Light -LICENSE_NAME= SVM-Light license -LICENSE_FILE= ${WRKSRC}/LICENSE.txt -LICENSE_PERMS= # none - -DEPRECATED= Unmaintained, last upstream release in 2008 and there are more modern alternatives -EXPIRATION_DATE=2024-04-14 - -USES= gmake -USE_LDCONFIG= yes - -MAKE_ARGS= CC="${CC}" CFLAGS="${CFLAGS}" LD="${CC}" LFLAGS="${CFLAGS}" -ALL_TARGET= all libsvmlight_hideo - -CFLAGS+= -fPIC -fcommon - -NO_WRKSUBDIR= yes - -do-install: - @${MKDIR} ${STAGEDIR}${PREFIX}/include/svmlight - ${INSTALL_DATA} ${WRKSRC}/*.h ${STAGEDIR}${PREFIX}/include/svmlight -.for file in svm_classify svm_learn - ${INSTALL_PROGRAM} ${WRKSRC}/${file} ${STAGEDIR}${PREFIX}/bin -.endfor - ${INSTALL_LIB} ${WRKSRC}/libsvmlight.so ${STAGEDIR}${PREFIX}/lib/libsvmlight.so - -.include <bsd.port.mk> diff --git a/science/svmlight/distinfo b/science/svmlight/distinfo deleted file mode 100644 index 561e193fe80e..000000000000 --- a/science/svmlight/distinfo +++ /dev/null @@ -1,5 +0,0 @@ -TIMESTAMP = 1682615944 -SHA256 (svm_light.tar.gz) = aa48985a4c77eecd84d293de40d4731da767e49a1d2323c6198180652aa8724e -SIZE (svm_light.tar.gz) = 51026 -SHA256 (SVMLight.patch) = ae65da45b33c014d36d8e7fd6634a411738a72a79c0d23e063cf0e76dc79cc4a -SIZE (SVMLight.patch) = 35789 diff --git a/science/svmlight/pkg-descr b/science/svmlight/pkg-descr deleted file mode 100644 index 7aeca2e7acde..000000000000 --- a/science/svmlight/pkg-descr +++ /dev/null @@ -1,16 +0,0 @@ -SVMlight is an implementation of Vapnik's Support Vector Machine -[Vapnik, 1995] for the problem of pattern recognition, for the problem -of regression, and for the problem of learning a ranking function. The -optimization algorithms used in SVMlight are described in [Joachims, -2002a ]. [Joachims, 1999a]. The algorithm has scalable memory -requirements and can handle problems with many thousands of support -vectors efficiently. - -The software also provides methods for assessing the generalization -performance efficiently. It includes two efficient estimation methods -for both error rate and precision/recall. XiAlpha-estimates [Joachims, -2002a, Joachims, 2000b] can be computed at essentially no -computational expense, but they are conservatively biased. Almost -unbiased estimates provides leave-one-out testing. SVMlight exploits -that the results of most leave-one-outs (often more than 99%) are -predetermined and need not be computed [Joachims, 2002a]. diff --git a/science/svmlight/pkg-plist b/science/svmlight/pkg-plist deleted file mode 100644 index 763c55079231..000000000000 --- a/science/svmlight/pkg-plist +++ /dev/null @@ -1,6 +0,0 @@ -bin/svm_classify -bin/svm_learn -include/svmlight/kernel.h -include/svmlight/svm_common.h -include/svmlight/svm_learn.h -lib/libsvmlight.so
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