文件名称:libsvm-2.36
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目前准确度最好的支持向量机分类算法,用C++编写.-accuracy of the current best SVM classification algorithm, C preparation.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-2.36
...........\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
...........\python
...........\......\cross_validation.py
...........\......\grid.py
...........\......\Makefile
...........\......\pgnuplot.exe
...........\......\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
...........\windows
...........\.......\python
...........\.......\......\svmc.dll
...........\.......\svmpredict.exe
...........\.......\svmscale.exe
...........\.......\svmtoy.exe
...........\.......\svmtrain.exe
...........\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
...........\python
...........\......\cross_validation.py
...........\......\grid.py
...........\......\Makefile
...........\......\pgnuplot.exe
...........\......\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
...........\windows
...........\.......\python
...........\.......\......\svmc.dll
...........\.......\svmpredict.exe
...........\.......\svmscale.exe
...........\.......\svmtoy.exe
...........\.......\svmtrain.exe