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Add libocas 0.93, efficient training of SVM classifiers.
This commit is contained in:
Brendan Fabeny
parent
12e5a4bb2c
commit
7f3eda0a31
Notes:
svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=283033
6 changed files with 239 additions and 0 deletions
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@ -179,6 +179,7 @@
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SUBDIR += liblbfgs
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SUBDIR += libmath++
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SUBDIR += libneural
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SUBDIR += libocas
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SUBDIR += liborigin
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SUBDIR += libqalculate
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SUBDIR += libranlip
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64
math/libocas/Makefile
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64
math/libocas/Makefile
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@ -0,0 +1,64 @@
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# New ports collection makefile for: libocas
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# Date created: 5 Oct 2011
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# Whom: b.f. <bf@FreeBSD.org>
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#
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# $FreeBSD$
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#
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PORTNAME= libocas
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PORTVERSION= 0.93
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CATEGORIES= math
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MASTER_SITES= http://cmp.felk.cvut.cz/~xfrancv/ocas/ LOCAL/bf
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DISTNAME= ${PORTNAME}_v${PORTVERSION:S/.//}
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MAINTAINER= bf@FreeBSD.org
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COMMENT= Efficient training of SVM classifiers
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LICENSE= GPLv3
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USE_GMAKE= yes
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USE_LDCONFIG= yes
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USE_ZIP= yes
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ALL_TARGET= all linclass
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LIBS= -lm ${PTHREAD_LIBS}
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MAKE_ENV= MEXDETECTED=no
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PLIST_FILES= bin/linclass bin/msvmocas bin/svmocas lib/libocas.so \
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lib/libocas.so.1
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.include <bsd.port.pre.mk>
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.if ${ARCH} == sparc64
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PICFLAG= -fPIC
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.else
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PICFLAG= -fpic
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.endif
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CFLAGS+= ${PICFLAG} ${PTHREAD_CFLAGS}
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post-patch:
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@${REINPLACE_CMD} \
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-e '\|:=|d' \
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-e 's|libocas\.so|&.1|' \
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-e '\|$$(CC) $$(CFLAGS) -o|{s|$$(CFLAGS)|& ${LDFLAGS}|;s|$$| ${LIBS}|;}' \
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${WRKSRC}/Makefile
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do-install:
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.for p in linclass msvmocas svmocas
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@${INSTALL_PROGRAM} ${WRKSRC}/${p} ${PREFIX}/bin
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.endfor
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@${INSTALL_LIB} ${WRKSRC}/libocas.so.1 ${PREFIX}/lib
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@${LN} -sf libocas.so.1 ${PREFIX}/lib/libocas.so
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check regression-test test: build
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${WRKSRC}/msvmocas -c 10 -v 1 ${WRKSRC}/data/example4_train.light \
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${WRKSRC}/data/msvmocas.model
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${WRKSRC}/linclass -e -v 1 -o ${WRKSRC}/data/exaple4_test.pred \
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${WRKSRC}/data/example4_test.light ${WRKSRC}/data/msvmocas.model
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${WRKSRC}/svmocas -c 10 -b 1 -v 1 ${WRKSRC}/data/riply_trn.light \
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${WRKSRC}/data/svmocas.model
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${WRKSRC}/linclass -e -v 1 -o ${WRKSRC}/data/riply_tst.pred \
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${WRKSRC}/data/riply_tst.light ${WRKSRC}/data/svmocas.model
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.include <bsd.port.post.mk>
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2
math/libocas/distinfo
Normal file
2
math/libocas/distinfo
Normal file
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@ -0,0 +1,2 @@
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SHA256 (libocas_v093.zip) = 341b4b1ab5594a6d2a92fdff1654aa320b6845412c97f5493c92d48cf6618aae
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SIZE (libocas_v093.zip) = 3328943
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142
math/libocas/files/patch-linclass.c
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142
math/libocas/files/patch-linclass.c
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@ -0,0 +1,142 @@
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--- linclass.c.orig 2010-05-05 08:55:55.000000000 -0400
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+++ linclass.c 2011-10-06 05:11:23.000000000 -0400
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@@ -62,7 +62,7 @@
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uint32_t i, j;
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int len;
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int recognized;
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- int exitflag = 0;
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+ int exitflag = 1;
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int verb;
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int binary_problem;
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int output_type;
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@@ -101,6 +101,8 @@
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feat_idx = NULL;
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W = NULL;
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W0 = 0;
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+ input_fname = NULL;
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+ model_fname = NULL;
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output_fname = NULL;
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nClassErrors = NULL;
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nClass = NULL;
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@@ -275,6 +277,7 @@
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if(fgets(line,LIBSLF_MAXLINELEN, fid) == NULL )
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{
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fprintf(stderr,"Empty example file.\n");
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+ fclose(fid);
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goto clean_up;
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}
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else
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@@ -312,6 +315,7 @@
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if( tmp_nCols != nCols)
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{
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fprintf(stderr,"Error: Model file contains lines with different number of colums.\n");
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+ fclose(fid);
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goto clean_up;
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}
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@@ -340,6 +344,7 @@
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if(W == NULL)
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{
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fprintf(stderr,"Not enough memory for vector W.\n");
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+ fclose(fid);
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goto clean_up;
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}
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@@ -355,6 +360,7 @@
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if(fgets(line,LIBSLF_MAXLINELEN, fid) == NULL )
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{
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fprintf(stderr,"Model file corrupted.\n");
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+ fclose(fid);
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goto clean_up;
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}
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@@ -364,6 +370,7 @@
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if(val == 0 && begptr == endptr)
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{
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fprintf(stderr,"Model file corrupted.\n");
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+ fclose(fid);
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goto clean_up;
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}
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@@ -388,6 +395,7 @@
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if(W == NULL)
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{
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fprintf(stderr,"Not enough memory for matrix W.\n");
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+ fclose(fid);
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goto clean_up;
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}
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@@ -403,6 +411,7 @@
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if(fgets(line,LIBSLF_MAXLINELEN, fid) == NULL )
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{
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fprintf(stderr,"Model file corrupted.\n");
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+ fclose(fid);
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goto clean_up;
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}
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@@ -414,6 +423,7 @@
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if(val == 0 && begptr == endptr)
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{
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fprintf(stderr,"Model file corrupted.\n");
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+ fclose(fid);
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goto clean_up;
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}
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begptr = endptr;
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@@ -458,7 +468,7 @@
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else
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{
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fout = fopen(output_fname, "w+");
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- if(fid == NULL) {
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+ if(fout == NULL) {
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fprintf(stderr,"Cannot open output file.\n");
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perror("fopen error ");
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fclose(fid);
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@@ -478,6 +488,9 @@
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if(nClassErrors == NULL)
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{
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fprintf(stderr,"Not enough memory for vector nClassError.\n");
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+ fclose(fid);
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+ if(output_fname != NULL)
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+ fclose(fout);
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goto clean_up;
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}
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@@ -485,6 +498,9 @@
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if(nClass == NULL)
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{
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fprintf(stderr,"Not enough memory for vector nClass.\n");
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+ fclose(fid);
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+ if(output_fname != NULL)
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+ fclose(fout);
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goto clean_up;
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}
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@@ -505,6 +521,9 @@
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{
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fprintf(stderr,"Parsing error on line %ld .\n", line_cnt);
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fprintf(stderr,"Probably defective input file.\n");
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+ fclose(fid);
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+ if(output_fname != NULL)
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+ fclose(fout);
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goto clean_up;
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}
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@@ -612,12 +631,16 @@
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fclose(fid);
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- fclose(fout);
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+ if(output_fname != NULL)
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+ fclose(fout);
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- exitflag = 1;
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+ exitflag = 0;
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clean_up:
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+ free(input_fname);
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+ free(model_fname);
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+ free(output_fname);
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free(W);
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free(line);
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free(feat_val);
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20
math/libocas/files/patch-msvmocas.c
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20
math/libocas/files/patch-msvmocas.c
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@ -0,0 +1,20 @@
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--- msvmocas.c.orig 2010-05-05 08:55:55.000000000 -0400
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+++ msvmocas.c 2011-10-06 05:20:07.000000000 -0400
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@@ -91,6 +91,8 @@
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total_time = get_time();
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/* init */
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+ input_fname = NULL;
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+ model_fname= NULL;
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data_X = NULL;
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data_y = NULL;
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W = NULL;
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@@ -508,6 +510,8 @@
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clean_up:
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+ free(input_fname);
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+ free(model_fname);
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mxDestroyArray(data_X);
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mxFree(data_y);
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mxFree(W);
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10
math/libocas/pkg-descr
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10
math/libocas/pkg-descr
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@ -0,0 +1,10 @@
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libocas implements an Optimized Cutting Plane Algorithm (OCAS) for training
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linear SVM classifiers from large-scale data. The computational effort of
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OCAS scales with O(m log m) where m is the sample size. In an extensive
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empirical evaluation, OCAS significantly outperforms current state-of-the-art
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SVM solvers.
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libocas also implements the COFFIN framework for efficient training of
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translation invariant image classifiers from virtual examples.
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WWW: http://cmp.felk.cvut.cz/~xfrancv/ocas/html/index.html
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