Description: 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.
To Search:
- [ICDLL] - ICDLL 1. AT24C01A/02/04/08/16/64卡 该系列IC卡
- [JSPWebsiteCount] - The preparation of a site with JSP count
File list (Check if you may need any files):
libsvm-2.85备份
...............\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_toy.java
...............\....\svm_train.java
...............\....\test_applet.html
...............\Makefile
...............\Makefile.win
...............\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
...............\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
...............\.......\svmpredict.exe
...............\.......\svmscale.exe
...............\.......\svmtoy.exe
...............\.......\svmtrain.exe
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