libsvm-3.1-[FarutoUltimate3.1Mcode]
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：2412KB
下载次数：101
上传日期：2013-07-31 17:49:07
上 传 者：
Paradiseyoung
说明： 台湾大学林智仁的libsvm工具箱的增强版，集成了参数选择算法，十分好用。
(Lin Zhiren Taiwan University, an enhanced version of libsvm toolbox integrates parameter selection algorithm, is very easy to use.)
文件列表:
tools\checkdata.py (2478, 2010-12-31)
tools\easy.py (2696, 2010-12-31)
tools\grid.py (11773, 2011-02-02)
tools\subset.py (3004, 2010-12-31)
windows\libsvm.dll (140288, 2011-03-25)
windows\libsvmread.mexw32 (7680, 2011-03-25)
windows\libsvmread.mexw64 (11264, 2011-03-25)
windows\libsvmwrite.mexw32 (7168, 2011-03-25)
windows\libsvmwrite.mexw64 (10240, 2011-03-25)
windows\svm-predict.exe (107008, 2011-03-25)
windows\svm-scale.exe (80384, 2011-03-25)
windows\svm-toy.exe (140288, 2011-03-25)
windows\svm-train.exe (135680, 2011-03-25)
windows\svmpredict.mexw32 (19968, 2011-03-25)
windows\svmpredict.mexw64 (25088, 2011-03-25)
windows\svmtrain.mexw32 (48640, 2011-03-25)
windows\svmtrain.mexw64 (62976, 2011-03-25)
svm.cpp.bak (62509, 2011-03-08)
svm-predict.c (5381, 2011-02-05)
svm-scale.c (7042, 2009-03-16)
svm-train.c (8891, 2011-02-05)
svm.h (3129, 2011-03-08)
svm.cpp (62509, 2011-06-08)
svm.def (434, 2010-09-12)
FAQ.html (68901, 2011-03-26)
Makefile.win (1087, 2010-09-12)
COPYRIGHT (1497, 2011-03-26)
heart_scale (27670, 2003-07-12)
Makefile (528, 2010-09-12)
java\libsvm\svm.java (61931, 2011-03-26)
java\libsvm\svm.m4 (61280, 2010-11-05)
java\libsvm\svm_model.java (734, 2010-09-12)
java\libsvm\svm_node.java (115, 2003-10-11)
java\libsvm\svm_parameter.java (1288, 2006-03-03)
java\libsvm\svm_print_interface.java (87, 2009-02-18)
java\libsvm\svm_problem.java (136, 2003-10-11)
java\libsvm.jar (49854, 2011-03-26)
java\Makefile (624, 2009-02-18)
... ...
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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