文件名称:SVM_code
介绍说明--下载内容均来自于网络,请自行研究使用
这是最新的SVM(支持向量机库代码)
搞SVM模式识别分类与回归的人员很有参考价值,如果有适当的话,我下次把国外的SVM训练和测试源代码上传,供大家参考,谢谢大家的支持!-these files are about the SVM algorithm,which would help you learn and use it to deal with some problem in your job and study
搞SVM模式识别分类与回归的人员很有参考价值,如果有适当的话,我下次把国外的SVM训练和测试源代码上传,供大家参考,谢谢大家的支持!-these files are about the SVM algorithm,which would help you learn and use it to deal with some problem in your job and study
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm_code
........\java
........\....\libsvm
........\....\......\svm.java
........\....\......\svm_print_interface.java
........\....\......\svm.m4
........\....\......\svm_model.java
........\....\......\svm_parameter.java
........\....\......\svm_problem.java
........\....\......\svm_node.java
........\....\svm_predict.java
........\....\svm_toy.java
........\....\svm_train.java
........\....\test_applet.html
........\....\svm_scale.java
........\....\Makefile
........\....\libsvm.jar
........\python
........\......\svmc.i
........\......\svmc_wrap.c
........\......\setup.py
........\......\test_cross_validation.py
........\......\cross_validation.py
........\......\svm_test.py
........\......\svm.py
........\......\Makefile
........\......\README
........\windows
........\.......\python
........\.......\......\svmc.pyd
........\.......\svm-train.exe
........\.......\svm-scale.exe
........\.......\svm-predict.exe
........\.......\svm-toy.exe
........\svm.cpp
........\tools
........\.....\easy.py
........\.....\grid.py
........\.....\subset.py
........\.....\README
........\.....\checkdata.py
........\svm.h
........\README
........\svm-toy
........\.......\qt
........\.......\..\svm-toy.cpp
........\.......\..\Makefile
........\.......\gtk
........\.......\...\callbacks.cpp
........\.......\...\interface.c
........\.......\...\callbacks.h
........\.......\...\main.c
........\.......\...\interface.h
........\.......\...\svm-toy.glade
........\.......\...\Makefile
........\.......\windows
........\.......\.......\svm-toy.cpp
........\svm-train.c
........\COPYRIGHT
........\Makefile.win
........\FAQ.html
........\heart_scale
........\svm-scale.c
........\Makefile
........\svm-predict.c
........\java
........\....\libsvm
........\....\......\svm.java
........\....\......\svm_print_interface.java
........\....\......\svm.m4
........\....\......\svm_model.java
........\....\......\svm_parameter.java
........\....\......\svm_problem.java
........\....\......\svm_node.java
........\....\svm_predict.java
........\....\svm_toy.java
........\....\svm_train.java
........\....\test_applet.html
........\....\svm_scale.java
........\....\Makefile
........\....\libsvm.jar
........\python
........\......\svmc.i
........\......\svmc_wrap.c
........\......\setup.py
........\......\test_cross_validation.py
........\......\cross_validation.py
........\......\svm_test.py
........\......\svm.py
........\......\Makefile
........\......\README
........\windows
........\.......\python
........\.......\......\svmc.pyd
........\.......\svm-train.exe
........\.......\svm-scale.exe
........\.......\svm-predict.exe
........\.......\svm-toy.exe
........\svm.cpp
........\tools
........\.....\easy.py
........\.....\grid.py
........\.....\subset.py
........\.....\README
........\.....\checkdata.py
........\svm.h
........\README
........\svm-toy
........\.......\qt
........\.......\..\svm-toy.cpp
........\.......\..\Makefile
........\.......\gtk
........\.......\...\callbacks.cpp
........\.......\...\interface.c
........\.......\...\callbacks.h
........\.......\...\main.c
........\.......\...\interface.h
........\.......\...\svm-toy.glade
........\.......\...\Makefile
........\.......\windows
........\.......\.......\svm-toy.cpp
........\svm-train.c
........\COPYRIGHT
........\Makefile.win
........\FAQ.html
........\heart_scale
........\svm-scale.c
........\Makefile
........\svm-predict.c