文件列表:

170929\DTRF.pptx (886881, 2017-09-26)
170929\Forest Fire.pdf (3884878, 2017-09-27)
170929\RF_Reg_C\Compile_Check_kcachegrind (611, 2009-04-25)
170929\RF_Reg_C\Compile_Check_memcheck (623, 2009-04-25)
170929\RF_Reg_C\compile_linux.m (952, 2009-05-17)
170929\RF_Reg_C\compile_windows.m (915, 2010-02-06)
170929\RF_Reg_C\data\diabetes.mat (265664, 2009-04-25)
170929\RF_Reg_C\data\X_diabetes.txt (110942, 2009-04-25)
170929\RF_Reg_C\data\Y_diabetes.txt (11492, 2009-04-25)
170929\RF_Reg_C\diabetes_C_devc.dev (1293, 2009-04-25)
170929\RF_Reg_C\Makefile (1774, 2009-05-17)
170929\RF_Reg_C\mexRF_predict.mexw32 (10752, 2010-02-06)
170929\RF_Reg_C\mexRF_predict.mexw64 (11264, 2010-02-06)
170929\RF_Reg_C\mexRF_train.mexw32 (25600, 2010-02-06)
170929\RF_Reg_C\mexRF_train.mexw64 (34304, 2010-02-06)
170929\RF_Reg_C\regRF_predict.m (986, 2009-05-17)
170929\RF_Reg_C\regRF_train.m (12863, 2009-05-17)
170929\RF_Reg_C\src\cokus.cpp (7678, 2009-04-25)
170929\RF_Reg_C\src\cokus_test.cpp (1189, 2009-04-25)
170929\RF_Reg_C\src\diabetes_C_wrapper.cpp (11673, 2009-05-17)
170929\RF_Reg_C\src\mex_regressionRF_predict.cpp (3864, 2009-05-17)
170929\RF_Reg_C\src\mex_regressionRF_train.cpp (12391, 2009-05-17)
170929\RF_Reg_C\src\qsort.c (4676, 2009-04-25)
170929\RF_Reg_C\src\reg_RF.cpp (40291, 2009-05-17)
170929\RF_Reg_C\src\reg_RF.h (560, 2009-05-17)
170929\RF_Reg_C\test_RegRF_extensively.m (1364, 2009-05-17)
170929\RF_Reg_C\tutorial_RegRF.m (8283, 2017-09-26)
170929\RF_Reg_C\Version_History.txt (384, 2010-02-06)
170929\随机森林工具箱.zip (456684, 2017-09-24)
170929\RF_Reg_C\data (0, 2017-09-28)
170929\RF_Reg_C\src (0, 2017-09-28)
170929\RF_Reg_C\tempbuild (0, 2010-02-06)
170929\RF_Reg_C (0, 2017-09-28)
170929 (0, 2017-09-28)

mex/standalone interface to Andy Liaw et al.'s C code (used in R package randomForest) Added by Abhishek Jaiantilal ( abhishek.jaiantilal@colorado.edu ) License: GPLv2 Version: 0.02 Added Binaries for Windows 32/*** bit Commented out compile_windows.m, if you feel upto it, remove the comments and recompile REGRESSION BASED RANDOMFOREST ****A tutorial for matlab now in tutorial_ClassRF.m**** Ways to generate Mex's and Standalone files ___STANDALONE____ (not exactly standalone but an interface via C) An example for a C file using the pima indian diabetes dataset for regression is shown in src/diabetes_C_wrapper.cpp This is a standalone version that needs to set right parameters in CPP file. Compiling in windows: Method 1: use cygwin and make: go to current directory and run 'make diabetes' in cygwin command prompt. Need to have gcc/g++ installed. Will generate diabetes_test.exe Method 2: use DevC++ (download from http://www.bloodshed.net/devcpp.html ). Open the diabetes_C_devc.dev file which is a project file which has the sources etc set. Just compile and run. Will generate diabetes_C_devc.exe Compiling in linux: Method 1: use linux and make: go to this directory and run 'make diabetes' in command prompt. Need to have gcc/g++ installed. Will generate diabetes_test. run as ./diabetes_test ___MATLAB___ generates Mex files that can be called in Matlab directly. Compiling in windows: Use the compile_windows.m and run in windows. It will compile and generate appropriate mex files. Need Visual C++ or some other compiler (VC++ express edition also works). Won't work with Matlab's inbuilt compiler (lcc) Compiling in linux: Use the compile_linux.m and run in windows. It will compile and generate appropriate mex files. Using the Mex interface: There are 2 functions regRF_train and regRF_predict as given below. See the sample file test_RegRF_extensively.m %function Y_hat = regRF_predict(X,model) %requires 2 arguments %X: data matrix %model: generated via regRF_train function %function model = regRF_train(X,Y,ntree,mtry) %requires 2 arguments and the rest 2 are optional %X: data matrix %Y: target values %ntree (optional): number of trees (default is 500) %mtry (default is max(floor(D/3),1) D=number of features in X) Version History: v0.02 (May-15-09):Updated so that regression package now has about 95% of the total options that the R-package gives. Woohoo. Tracing of what happening behind screen works better. v0.01 (Mar-22-09): very basic interface for mex/standalone to Liaw et al's randomForest Package supports only ntree and mtry changing for time being.

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