From 28890509d95c522503728fbd85b717c6081f2621 Mon Sep 17 00:00:00 2001
From: cheusov <cheusov@pkgsrc.org>
Date: Sun, 19 Oct 2014 09:57:21 +0000
Subject: Add liblinear. 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

---
 math/liblinear/DESCR    | 16 ++++++++++++++++
 math/liblinear/Makefile | 28 ++++++++++++++++++++++++++++
 math/liblinear/PLIST    |  8 ++++++++
 math/liblinear/distinfo |  5 +++++
 4 files changed, 57 insertions(+)
 create mode 100644 math/liblinear/DESCR
 create mode 100644 math/liblinear/Makefile
 create mode 100644 math/liblinear/PLIST
 create mode 100644 math/liblinear/distinfo

diff --git a/math/liblinear/DESCR b/math/liblinear/DESCR
new file mode 100644
index 00000000000..b91e706c498
--- /dev/null
+++ b/math/liblinear/DESCR
@@ -0,0 +1,16 @@
+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
diff --git a/math/liblinear/Makefile b/math/liblinear/Makefile
new file mode 100644
index 00000000000..a5dfcdb890b
--- /dev/null
+++ b/math/liblinear/Makefile
@@ -0,0 +1,28 @@
+# $NetBSD: Makefile,v 1.1.1.1 2014/10/19 09:57:21 cheusov Exp $
+
+DISTNAME=	liblinear-1.94
+CATEGORIES=	math
+MASTER_SITES=	http://www.csie.ntu.edu.tw/~cjlin/liblinear/
+
+MAINTAINER=	cheusov@NetBSD.org
+HOMEPAGE=	http://www.csie.ntu.edu.tw/~cjlin/liblinear/
+COMMENT=	Library for large linear classification
+LICENSE=	modified-bsd
+
+USE_LANGUAGES=	c c++
+
+BUILD_TARGET=	all lib
+AUTO_MKDIRS=	yes
+
+do-install:
+	${INSTALL_PROGRAM} ${WRKSRC}/predict ${DESTDIR}${PREFIX}/bin/liblinear-predict
+	${INSTALL_PROGRAM} ${WRKSRC}/train ${DESTDIR}${PREFIX}/bin/liblinear-train
+	${INSTALL_LIB} ${WRKSRC}/liblinear.so.1 ${DESTDIR}${PREFIX}/lib
+	${LN} -s liblinear.so.1 ${DESTDIR}${PREFIX}/lib/liblinear.so
+	${INSTALL_DATA} ${WRKSRC}/linear.h ${DESTDIR}${PREFIX}/include
+	${INSTALL_DATA} ${WRKSRC}/README \
+		${DESTDIR}${PREFIX}/share/doc/${PKGBASE}
+	${INSTALL_DATA} ${WRKSRC}/heart_scale \
+		${DESTDIR}${PREFIX}/share/examples/${PKGBASE}
+
+.include "../../mk/bsd.pkg.mk"
diff --git a/math/liblinear/PLIST b/math/liblinear/PLIST
new file mode 100644
index 00000000000..c0dc24e1ca6
--- /dev/null
+++ b/math/liblinear/PLIST
@@ -0,0 +1,8 @@
+@comment $NetBSD: PLIST,v 1.1.1.1 2014/10/19 09:57:21 cheusov Exp $
+bin/liblinear-predict
+bin/liblinear-train
+include/linear.h
+lib/liblinear.so
+lib/liblinear.so.1
+share/doc/liblinear/README
+share/examples/liblinear/heart_scale
diff --git a/math/liblinear/distinfo b/math/liblinear/distinfo
new file mode 100644
index 00000000000..149911c005a
--- /dev/null
+++ b/math/liblinear/distinfo
@@ -0,0 +1,5 @@
+$NetBSD: distinfo,v 1.1.1.1 2014/10/19 09:57:21 cheusov Exp $
+
+SHA1 (liblinear-1.94.tar.gz) = 19678355e6c933b7ec133e07fef77796e50df0d5
+RMD160 (liblinear-1.94.tar.gz) = 56cc112d3e4397804d67eea4e266b363c822307b
+Size (liblinear-1.94.tar.gz) = 335400 bytes
-- 
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