文件列表:

libsvm-3.1-[FarutoUltimate3.1Mcode]\COPYRIGHT (1497, 2011-03-26)
libsvm-3.1-[FarutoUltimate3.1Mcode]\FAQ.html (68901, 2011-03-26)
libsvm-3.1-[FarutoUltimate3.1Mcode]\heart_scale (27670, 2003-07-12)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm.java (61931, 2011-03-26)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm.m4 (61280, 2010-11-05)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm_model.java (734, 2010-09-12)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm_node.java (115, 2003-10-11)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm_parameter.java (1288, 2006-03-03)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm_print_interface.java (87, 2009-02-18)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm\svm_problem.java (136, 2003-10-11)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\libsvm.jar (49854, 2011-03-26)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\Makefile (624, 2009-02-18)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\svm_predict.java (4267, 2009-03-18)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\svm_scale.java (8944, 2009-02-20)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\svm_toy.java (11483, 2010-12-13)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\svm_train.java (8268, 2010-01-27)
libsvm-3.1-[FarutoUltimate3.1Mcode]\java\test_applet.html (81, 2003-07-12)
libsvm-3.1-[FarutoUltimate3.1Mcode]\make.m (396, 2011-02-24)
libsvm-3.1-[FarutoUltimate3.1Mcode]\Makefile (528, 2010-09-12)
libsvm-3.1-[FarutoUltimate3.1Mcode]\Makefile.win (1087, 2010-09-12)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\heart_scale.mat (28904, 2005-03-22)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\libsvmread.c (3988, 2011-02-24)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\libsvmread.mexw32 (20480, 2011-06-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\libsvmread.mexw64 (10752, 2015-07-22)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\libsvmwrite.c (2123, 2011-02-24)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\libsvmwrite.mexw32 (20480, 2011-06-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\libsvmwrite.mexw64 (9216, 2015-07-22)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\make.m (396, 2011-02-24)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\Makefile (1481, 2011-02-24)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svm.obj (139887, 2015-07-22)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmpredict.c (9063, 2011-03-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmpredict.mexw32 (24576, 2011-06-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmpredict.mexw64 (23040, 2015-07-22)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmtrain.c (11355, 2011-06-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmtrain.c.bak (11343, 2011-03-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmtrain.mexw32 (45056, 2011-06-08)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svmtrain.mexw64 (60416, 2015-07-22)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svm_model_matlab.c (7694, 2011-02-24)
libsvm-3.1-[FarutoUltimate3.1Mcode]\matlab\svm_model_matlab.h (201, 2011-02-24)
... ...

SVM faruto version by faruto Email:farutoliyang@gmail.com 2009.11.05 ================================== Content: scaleForSVM:归一化 函数接口: [train_scale,test_scale,ps] = scaleForSVM(train_data,test_data,ymin,ymax) ==================================== pcaForSVM:pca降维预处理 函数接口: [train_pca,test_pca] = pcaForSVM(train,test,threshold) ==================================== fasticaForSVM:ica降维预处理 函数接口: [train_ica,test_ica] = fasticaForSVM(train,test) ==================================== SVMcgForClass:分类问题参数寻找[grid search based on CV] 函数接口: [bestacc,bestc,bestg] = SVMcgForClass(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,accstep) SVMcgForRegress:回归问题参数寻优[grid search based on CV] 函数接口: [mse,bestc,bestg] = SVMcgForRegress(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,msestep) ====================================== psoSVMcgForClass:分类问题参数寻优[pso based on CV] 函数接口: [bestCVaccuracy,bestc,bestg,pso_option] = psoSVMcgForClass(train_label,train,pso_option) psoSVMcgForRegress:回归问题参数寻优[pso based on CV] 函数接口: [bestCVmse,bestc,bestg,pso_option] = psoSVMcgForRegress(train_label,train,pso_option) ======================================= gaSVMcgForClass:分类问题参数寻优[ga based on CV] 函数接口: [bestCVaccuracy,bestc,bestg,ga_option] = gaSVMcgForClass(train_label,train,ga_option) gaSVMcgForRegress:回归问题参数寻优[ga based on CV] 函数接口: [bestCVmse,bestc,bestg,ga_option] = gaSVMcgForRegress(train_label,train,ga_option) ======================================

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