Description: SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including C-SVC, n- SVC), regression (including e- SVR, n- SVR) and distribution estimation (one-class-SVM) and other issues, providing a linear, polynomial, radial basis functions and the S-shaped four commonly used kernel functions for selection.
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libsvm-3.17
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\java
...........\....\libsvm
...........\....\libsvm.jar
...........\....\......\svm.java
...........\....\......\svm.m4
...........\....\......\svm_model.java
...........\....\......\svm_node.java
...........\....\......\svm_parameter.java
...........\....\......\svm_print_interface.java
...........\....\......\svm_problem.java
...........\....\Makefile
...........\....\svm_predict.java
...........\....\svm_scale.java
...........\....\svm_toy.java
...........\....\svm_train.java
...........\....\test_applet.html
...........\Makefile
...........\Makefile.win
...........\matlab
...........\......\libsvmread.c
...........\......\libsvmwrite.c
...........\......\make.m
...........\......\Makefile
...........\......\README
...........\......\svmpredict.c
...........\......\svmtrain.c
...........\......\svm_model_matlab.c
...........\......\svm_model_matlab.h
...........\python
...........\......\Makefile
...........\......\README
...........\......\svm.py
...........\......\svmutil.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.def
...........\svm.h
...........\tools
...........\.....\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows
...........\.......\libsvm.dll
...........\.......\libsvmread.mexw64
...........\.......\libsvmwrite.mexw64
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
...........\.......\svmpredict.mexw64
...........\.......\svmtrain.mexw64
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