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libsvm-2.9

  • Category : matlab
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  • Update : 2012-11-26
  • Size : 516kb
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  • Author :scott
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Introduction - If you have any usage issues, please Google them yourself
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.
Packet file list
(Preview for download)
libsvm-2.9\COPYRIGHT
..........\FAQ.html
..........\heart_scale
..........\java\libsvm\svm.java
..........\....\......\svm.m4
..........\....\......\svm_model.java
..........\....\......\svm_node.java
..........\....\......\svm_parameter.java
..........\....\......\svm_print_interface.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
..........\....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
..........\java\libsvm
..........\svm-toy\gtk
..........\.......\qt
..........\.......\windows
..........\windows\python
..........\java
..........\python
..........\svm-toy
..........\tools
..........\windows
libsvm-2.9
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