Description: LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature.
File list (Check if you may need any files):
libsvm-2.84\a.txt
...........\a.txt.model
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\heart_scale.model
...........\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
...........\out
...........\output
...........\python\cross_validation.py
...........\......\Makefile
...........\......\README
...........\......\svm.py
...........\......\svmc.i
...........\......\svmc_wrap.c
...........\......\svm_test.py
...........\......\test_cross_validation.py
...........\README
...........\svm-predict.c
...........\svm-scale.c
...........\....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
...........\svmtrain.exe
...........\tools\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows\python\svmc.pyd
...........\.......\SVMPREDICT.EXE
...........\.......\SVMSCALE.EXE
...........\.......\svmtoy.exe
...........\.......\svmtrain.exe
...........\java\libsvm
...........\svm-toy\gtk
...........\.......\qt
...........\.......\windows
...........\windows\python
...........\java
...........\python
...........\svm-toy
...........\tools
...........\windows
libsvm-2.84
Download