文件名称:libsvm-2.89

  • 所属分类:
  • Linux/Unix编程
  • 资源属性:
  • [MacOS] [C/C++] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 1.33mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 马**
  • 相关连接:
  • 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

该软件完成的是在linux下的分词,可以进行词性标注,可以用于中英文分析-The software is a complete linux under a sub-word, can be part of speech tagging can be used for analysis in Chinese and English
(系统自动生成,下载前可以参看下载内容)

下载文件列表

libsvm-2.89\windows\train_model.pl

...........\.......\checkdata.py

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

...........\.......\data_test\计算机-2\1153.txt.seg

...........\.......\.........\........\1118.txt.seg

...........\.......\.........\........\1119.txt.seg

...........\.......\.........\........\1165.txt.seg

...........\.......\.........\........\1172.txt.seg

...........\.......\.........\环境-1\56.TXT.seg

...........\.......\.........\......\511.TXT.seg

...........\.......\.........\......\52.TXT.seg

...........\.......\.........\......\537.TXT.seg

...........\.......\.........\......\512.TXT.seg

...........\.......\.........\交通-3\4207.txt.seg

...........\.......\.........\......\4181.txt.seg

...........\.......\.........\......\425.TXT.seg

...........\.......\.........\......\440.TXT.seg

...........\.......\.........\......\444.TXT.seg

...........\.......\subset.py

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

...........\.......\easy.py

...........\.......\grid.py

...........\.......\python\svmc.pyd

...........\.......\svm-train.exe

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

...........\heart_scale

...........\train_model.pl

...........\Makefile

...........\svm.o

...........\svm-train.c

...........\svm.cpp

...........\svm.h

...........\svm-train

...........\FAQ.html

...........\java\test_applet.html

...........\....\Makefile

...........\....\svm_toy.java

...........\....\svm_predict.java

...........\....\svm_train.java

...........\....\libsvm\svm.java

...........\....\......\svm_problem.java

...........\....\......\svm_parameter.java

...........\....\......\svm_node.java

...........\....\......\svm_print_interface.java

...........\....\......\svm.m4

...........\....\......\svm_model.java

...........\....\libsvm.jar

...........\....\svm_scale.java

...........\format_train_file

...........\README

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

...........\COPYRIGHT

...........\data_test\计算机-2\1153.txt.seg

...........\.........\........\1118.txt.seg

...........\.........\........\1119.txt.seg

...........\.........\........\1165.txt.seg

...........\.........\........\1172.txt.seg

...........\.........\环境-1\56.TXT.seg

...........\.........\......\511.TXT.seg

...........\.........\......\52.TXT.seg

...........\.........\......\537.TXT.seg

...........\.........\......\512.TXT.seg

...........\.........\交通-3\4207.txt.seg

...........\.........\......\4181.txt.seg

...........\.........\......\425.TXT.seg

...........\.........\......\440.TXT.seg

...........\.........\......\444.TXT.seg

...........\libsvm.pdf

...........\svm-toy\qt\Makefile

...........\.......\..\svm-toy.cpp

...........\.......\windows\svm-toy.cpp

...........\.......\gtk\main.c

...........\.......\...\Makefile

...........\.......\...\interface.h

...........\.......\...\callbacks.cpp

...........\.......\...\interface.c

...........\.......\...\svm-toy.glade

...........\.......\...\callbacks.h

...........\python\cross_validation.py

...........\......\svm_test.py

...........\......\Makefile

...........\......\setup.py

...........\......\svm.py

...........\......\test_cross_validation.py

...........\......\README

...........\......\svmc_wrap.c

...........\......\svmc.i

...........\......\build\svm.o

...........\......\.....\lib.linux-i686-2.5\svm.py

...........\......\.....\..................\svmc.so

...........\......\.....\temp.linux-i686-2.5\svmc_wrap.o

...........\tools\heart_scale

...........\.....\lleasy.py

...........\.....\dataformater.py

...........\.....\xxeasy.py

...........\.....\.range

...........\.....\xxdir\format

...........\.....\.....\format.file

...........\.....\fg

...........\.....\.predict

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