文件名称:libsvm-2.6
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [MacOS] [C/C++] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 398kb
- 下载次数：
- 0次
- 提 供 者：
- t**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
这是Libsvm2.6工具的源码，用于SVM分类和回归计算。-This is the source Libsvm2.6 tool for SVM classification and regression.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-2.6
..........\COPYRIGHT
..........\FAQ.html
..........\heart_scale
..........\java
..........\....\libsvm
..........\....\......\svm.java
..........\....\......\svm.m4
..........\....\......\svm_model.java
..........\....\......\svm_node.java
..........\....\......\svm_parameter.java
..........\....\......\svm_problem.java
..........\....\libsvm.jar
..........\....\Makefile
..........\....\svm_predict.java
..........\....\svm_toy.java
..........\....\svm_train.java
..........\....\test_applet.html
..........\Makefile
..........\Makefile.win
..........\python
..........\......\cross_validation.py
..........\......\easy.py
..........\......\grid.py
..........\......\Makefile
..........\......\README
..........\......\svm.py
..........\......\svmc.i
..........\......\svmc_wrap.c
..........\......\svm_test.py
..........\......\test_cross_validation.py
..........\README
..........\svm-predict.c
..........\svm-scale.c
..........\svm-toy
..........\.......\gtk
..........\.......\...\callbacks.cpp
..........\.......\...\callbacks.h
..........\.......\...\interface.c
..........\.......\...\interface.h
..........\.......\...\main.c
..........\.......\...\Makefile
..........\.......\...\svm-toy.glade
..........\.......\qt
..........\.......\..\Makefile
..........\.......\..\svm-toy.cpp
..........\.......\windows
..........\.......\.......\svm-toy.cpp
..........\svm-train.c
..........\svm.cpp
..........\svm.h
..........\windows
..........\.......\python
..........\.......\......\svmc.dll
..........\.......\svmpredict.exe
..........\.......\svmscale.exe
..........\.......\svmtoy.exe
..........\.......\svmtrain.exe
..........\COPYRIGHT
..........\FAQ.html
..........\heart_scale
..........\java
..........\....\libsvm
..........\....\......\svm.java
..........\....\......\svm.m4
..........\....\......\svm_model.java
..........\....\......\svm_node.java
..........\....\......\svm_parameter.java
..........\....\......\svm_problem.java
..........\....\libsvm.jar
..........\....\Makefile
..........\....\svm_predict.java
..........\....\svm_toy.java
..........\....\svm_train.java
..........\....\test_applet.html
..........\Makefile
..........\Makefile.win
..........\python
..........\......\cross_validation.py
..........\......\easy.py
..........\......\grid.py
..........\......\Makefile
..........\......\README
..........\......\svm.py
..........\......\svmc.i
..........\......\svmc_wrap.c
..........\......\svm_test.py
..........\......\test_cross_validation.py
..........\README
..........\svm-predict.c
..........\svm-scale.c
..........\svm-toy
..........\.......\gtk
..........\.......\...\callbacks.cpp
..........\.......\...\callbacks.h
..........\.......\...\interface.c
..........\.......\...\interface.h
..........\.......\...\main.c
..........\.......\...\Makefile
..........\.......\...\svm-toy.glade
..........\.......\qt
..........\.......\..\Makefile
..........\.......\..\svm-toy.cpp
..........\.......\windows
..........\.......\.......\svm-toy.cpp
..........\svm-train.c
..........\svm.cpp
..........\svm.h
..........\windows
..........\.......\python
..........\.......\......\svmc.dll
..........\.......\svmpredict.exe
..........\.......\svmscale.exe
..........\.......\svmtoy.exe
..........\.......\svmtrain.exe