Import FNN-1.1 as math/R-FNN.
Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented.
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math/R-FNN/DESCR
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math/R-FNN/DESCR
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Cover-tree and kd-tree fast k-nearest neighbor search algorithms
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and related applications including KNN classification, regression
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and information measures are implemented.
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math/R-FNN/Makefile
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math/R-FNN/Makefile
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# $NetBSD: Makefile,v 1.1 2016/02/25 01:09:37 wen Exp $
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CATEGORIES= math
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MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/}
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MAINTAINER= pkgsrc-users@NetBSD.org
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HOMEPAGE= ${R_HOMEPAGE_BASE}/FNN/
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COMMENT= Fast Nearest Neighbor Search Algorithms and Applications
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LICENSE= gnu-gpl-v2
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R_PKGNAME= FNN
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R_PKGVER= 1.1
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USE_LANGUAGES+= c++
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.include "../../math/R/Makefile.extension"
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.include "../../mk/bsd.pkg.mk"
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math/R-FNN/distinfo
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math/R-FNN/distinfo
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$NetBSD: distinfo,v 1.1 2016/02/25 01:09:37 wen Exp $
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SHA1 (R/FNN_1.1.tar.gz) = ac5c9025e3eb3b6323c7e785191b1e087801442d
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RMD160 (R/FNN_1.1.tar.gz) = 54eeb85f2b1ce0e45fc437050af3e10f4e120cf8
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SHA512 (R/FNN_1.1.tar.gz) = 8fefe3f8af38702223fcfee4947fc002d14b15de1896a540b131a2a0bf2a542ea9d0efedbf19d406ff3f9cc3dc79d7ff8ce78c940ed5f8597647c5a96466966f
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Size (R/FNN_1.1.tar.gz) = 77283 bytes
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SHA1 (patch-src_Makevars) = ea930ea74f2571f137b36893aca7cb3d9491f0c0
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math/R-FNN/patches/patch-src_Makevars
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math/R-FNN/patches/patch-src_Makevars
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$NetBSD: patch-src_Makevars,v 1.1 2016/02/25 01:09:37 wen Exp $
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--- src/Makevars.orig 2016-02-25 08:53:40.000000000 +0000
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+++ src/Makevars
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@@ -4,7 +4,7 @@ PKG_CPPFLAGS = -Iinclude -DUSING_R -DUSI
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PKG_LIBS =
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#clean after building
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-all: $(SHLIB) clean
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+all: $(SHLIB)
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clean: $(SHLIB)
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$(RM) *.o core
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