文件名称:libsvm-3.12
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [MacOS] [Matlab] [源码]
- 上传时间:
- 2013-05-14
- 文件大小:
- 6.17mb
- 下载次数:
- 0次
- 提 供 者:
- 初**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
台湾人写的一个SVM库,可以有Linux,Windows多种版本-Taiwan to write an SVM library, you can have multiple versions of Linux, Windows
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-3.12\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
...........\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
...........\......\__pycache__\svm.cpython-33.pyc
...........\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.def
...........\svm.h
...........\tools\checkdata.py
...........\.....\data.scale
...........\.....\data.txt
...........\.....\data_poli_grid.txt
...........\.....\data_poli_grid.txt.out
...........\.....\data_poli_grid.txt.png
...........\.....\data_test.txt
...........\.....\data_train.txt
...........\.....\data_train.txt.out
...........\.....\data_train.txt.png
...........\.....\easy.py
...........\.....\file1
...........\.....\file2
...........\.....\file2.predict
...........\.....\file2.range
...........\.....\file2.scale
...........\.....\grid.py
...........\.....\heart_scale
...........\.....\heart_scale.model
...........\.....\heart_scale.out
...........\.....\heart_scale.png
...........\.....\heart_scale.range
...........\.....\heart_scale.scale
...........\.....\heart_scale.scale.out
...........\.....\heart_scale.scale.png
...........\.....\README
...........\.....\subset.py
...........\.....\test.py
...........\.....\__pycache__\easy.cpython-33.pyc
...........\.....\...........\test.cpython-33.pyc
...........\windows\data.model
...........\.......\data.predict
...........\.......\data.range
...........\.......\data.scale
...........\.......\data.txt
...........\.......\data_poli.model
...........\.......\data_poli.predict
...........\.......\data_poli_grid.txt
...........\.......\data_test.txt
...........\.......\data_train.txt
...........\.......\libsvm.dll
...........\.......\libsvmread.mexw32
...........\.......\libsvmread.mexw64
...........\.......\libsvmwrite.mexw32
...........\.......\libsvmwrite.mexw64
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
...........\.......\svmpredict.mexw32