Description: LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.
File list (Check if you may need any files):
libsvm-2.88
...........\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_scale.java
...........\....\svm_toy.java
...........\....\svm_train.java
...........\....\test_applet.html
...........\Makefile
...........\Makefile.win
...........\python
...........\......\cross_validation.py
...........\......\Makefile
...........\......\README
...........\......\setup.py
...........\......\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
...........\tools
...........\.....\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows
...........\.......\python
...........\.......\......\svmc.pyd
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
Download