RF_MexStandalone-v0.02-precompiled
所属分类：Windows编程
开发工具：matlab
文件大小：446KB
下载次数：20
上传日期：2017-06-01 17:10:39
上 传 者：
陈寅栋
说明： 用c写的随机森林工具包，可以在MATLAB环境下使用
(This readme supercedes the ones in the sub-folders if you plan to use just the binaries on a Windows machine.
The binary for windows are already included, and should work out of the box.
Matlab usually installs these redistributable on Installation, but ...
But in case they dont work. Open the control panel and check for the following package:
Microsoft visual C++ 2005 redistributable (x64 if your machine is 64-bit or x86 for 32-bit OS)
If either is not there, you only need the 32-bit if you plan to use it on a 32-bit machine and same goes for 64-bit.
32-bit redistributable:
http://www.microsoft.com/downloads/details.aspx?familyid 32bc1bee-a3f9-4c13-9c99-220b62a191ee&displaylang en
64-bit redistributable:
http://www.microsoft.com/downloads/details.aspx?familyid 90548130-4468-4BBC-9673-D6ACABD5D13B&displaylang en
Why do you need this?
Well, the package was compiled with Matlab and Visual C++ express edition. I reckon the latter might not be installed
on you)
文件列表:
随机森林工具包RF_MexStandalone-v0.02-precompiled (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Compile_Check (856, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile (2693, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile.windows (2523, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Version_History.txt (1470, 2010-02-06)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_predict.m (2166, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_train.m (14829, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_linux.m (557, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_windows.m (1718, 2010-02-06)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\X_twonorm.txt (96300, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt (600, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\twonorm.mat (48856, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32 (20992, 2010-02-06)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64 (26624, 2010-02-06)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32 (32256, 2010-02-06)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64 (46080, 2010-02-06)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64 (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32 (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o (6848, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64 (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o (9840, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\rfsub.o (9840, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src (0, 2017-02-12)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classRF.cpp (33889, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classTree.cpp (8947, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus.cpp (7678, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus_test.cpp (1189, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp (5225, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp (8545, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\qsort.c (4676, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rf.h (5186, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rfsub.f (15851, 2009-04-25)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rfutils.cpp (9609, 2009-05-17)
随机森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp (9865, 2009-05-17)
... ...
This readme supercedes the ones in the sub-folders if you plan to use just the binaries on a Windows machine.
The binary for windows are already included, and should work out of the box.
Matlab usually installs these redistributable on Installation, but ...
But in case they dont work. Open the control panel and check for the following package:
Microsoft visual C++ 2005 redistributable (x*** if your machine is ***-bit or x86 for 32-bit OS)
If either is not there, you only need the 32-bit if you plan to use it on a 32-bit machine and same goes for ***-bit.
32-bit redistributable:
http://www.microsoft.com/downloads/details.aspx?familyid=32bc1bee-a3f9-4c13-9c99-220b62a191ee&displaylang=en
***-bit redistributable:
http://www.microsoft.com/downloads/details.aspx?familyid=90548130-4468-4BBC-9673-D6ACABD5D13B&displaylang=en
Why do you need this?
Well, the package was compiled with Matlab and Visual C++ express edition. I reckon the latter might not be installed
on your machine. This is where the redistributable help. They contain the necessary libraries, dll to make the mex run.
Matlab should install these redistributables when its installed but you never know...
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