aa901feeca
LIBLINEAR is a linear classifier for data with millions of instances
and features. It supports
L2-regularized classifiers
L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
L1-regularized classifiers (after version 1.4)
L2-loss linear SVM and logistic regression (LR)
L2-regularized support vector regression (after version 1.9)
L2-loss linear SVR and L1-loss linear SVR.
Main features of LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver,
and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java, Python, Ruby interfaces
28 lines
946 B
Makefile
28 lines
946 B
Makefile
# $NetBSD: Makefile,v 1.1.1.1 2014/10/19 09:57:21 cheusov Exp $
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DISTNAME= liblinear-1.94
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CATEGORIES= math
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MASTER_SITES= http://www.csie.ntu.edu.tw/~cjlin/liblinear/
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MAINTAINER= cheusov@NetBSD.org
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HOMEPAGE= http://www.csie.ntu.edu.tw/~cjlin/liblinear/
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COMMENT= Library for large linear classification
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LICENSE= modified-bsd
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USE_LANGUAGES= c c++
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BUILD_TARGET= all lib
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AUTO_MKDIRS= yes
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do-install:
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${INSTALL_PROGRAM} ${WRKSRC}/predict ${DESTDIR}${PREFIX}/bin/liblinear-predict
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${INSTALL_PROGRAM} ${WRKSRC}/train ${DESTDIR}${PREFIX}/bin/liblinear-train
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${INSTALL_LIB} ${WRKSRC}/liblinear.so.1 ${DESTDIR}${PREFIX}/lib
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${LN} -s liblinear.so.1 ${DESTDIR}${PREFIX}/lib/liblinear.so
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${INSTALL_DATA} ${WRKSRC}/linear.h ${DESTDIR}${PREFIX}/include
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${INSTALL_DATA} ${WRKSRC}/README \
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${DESTDIR}${PREFIX}/share/doc/${PKGBASE}
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${INSTALL_DATA} ${WRKSRC}/heart_scale \
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${DESTDIR}${PREFIX}/share/examples/${PKGBASE}
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.include "../../mk/bsd.pkg.mk"
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