文件名称:NLPLibSVM

  • 所属分类:
  • 数据挖掘
  • 资源属性:
  • [MacOS] [Matlab] [源码]
  • 上传时间:
  • 2016-06-23
  • 文件大小:
  • 749kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • Sha***
  • 相关连接:
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libsvm分词训练集的java版本。包括libsvm.jar以及训练集样本-Libsvm version of the Java word segmentation training set. Including libsvm.jar and training set samples
(系统自动生成,下载前可以参看下载内容)

下载文件列表





NLPLibSVM

.........\.classpath

.........\.project

.........\.settings

.........\.........\org.eclipse.jdt.core.prefs

.........\bin

.........\...\LibSVMTest.class

.........\...\svm_predict.class

.........\...\svm_scale.class

.........\...\svm_train$1.class

.........\...\svm_train.class

.........\libsvm-3.12

.........\...........\libsvm-3.12

.........\...........\...........\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.mexw32

.........\...........\...........\.......\libsvmread.mexw64

.........\...........\...........\.......\libsvmwrite.mexw32

.........\...........\...........\.......\libsvmwrite.mexw64

.........\...........\...........\.......\svm-predict.exe

.........\...........\...........\.......\svm-scale.exe

.........\...........\...........\.......\svm-toy.exe

.........\...........\.......

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