利用多棵树对样本进行训练我要分享

Training samples with multiple trees

特征 随机选取

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文件大小: 441KB

代码分类: 仿真计算

开发平台: matlab

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代码描述

中文说明:

随机森林指的是利用多棵树对样本进行训练并预测的一种分类器,包括两个方面:数据的随机性选取,以及待选特征的随机选取。


English Description:

Random forest refers to a classifier that uses multiple trees to train and predict samples, including two aspects: random selection of data and random selection of features to be selected


代码预览

20170106RF_Matlab

.................\randomforest-matlab

.................\...................\RF_Class_C

.................\...................\..........\classRF_predict.m

.................\...................\..........\classRF_train.m

.................\...................\..........\htm" target=_blank>Compile_Check

.................\...................\..........\compile_linux.m

.................\...................\..........\compile_windows.m

.................\...................\..........\data

.................\...................\..........\....\twonorm.mat

.................\...................\..........\....\X_twonorm.txt

.................\...................\..........\....\Y_twonorm.txt

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

.................\...................\..........\Makefile.windows

.................\...................\..........\mexClassRF_predict.mexw32

.................\...................\..........\mexClassRF_predict.mexw64

.................\...................\..........\mexClassRF_train.mexw32

.................\...................\..........\mexClassRF_train.mexw64

.................\...................\..........\precompiled_rfsub

.................\...................\..........\.................\linux64

.................\...................\..........\.................\win32

.................\...................\..........\.................\.....\rfsub.o

.................\...................\..........\.................\win64

.................\...................\..........\.................\.....\rfsub.o

.................\...................\..........\README.txt

.................\...................\..........\rfsub.o

.................\...................\..........\src

.................\...................\..........\...\classRF.cpp

.................\...................\..........\...\classTree.cpp

.................\...................\..........\...\cokus.cpp

.................\...................\..........\...\cokus_test.cpp

.................\...................\..........\...\mex_ClassificationRF_predict.cpp

.................\...................\..........\...\mex_ClassificationRF_train.cpp

.................\...................\..........\...\qsort.c

.................\...................\..........\...\rf.h

.................\...................\..........\...\rfsub.f

.................\...................\..........\...\rfutils.cpp

.................\...................\..........\...\twonorm_C_wrapper.cpp

.................\...................\..........\tempbuild

.................\...................\..........\test_ClassRF_extensively.m

.................\...................\..........\tutorial_ClassRF.m

.................\...................\..........\twonorm_C_devcpp.dev

.................\...................\..........\Version_History.txt

.................\...................\RF_Reg_C

.................\...................\........\htm" target=_blank>Compile_Check_kcachegrind

.................\...................\........\htm" target=_blank>Compile_Check_memcheck

.................\...................\........\compile_linux.m

.................\...................\........\compile_windows.m

.................\...................\........\data

.................\...................\........\....\diabetes.mat

.................\...................\........\....\X_diabetes.txt

.................\...................\........\....\Y_diabetes.txt

.................\...................\........\diabetes_C_devc.dev

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

.................\...................\........\mexRF_predict.mexw32

.................\...................\........\mexRF_predict.mexw64

.................\...................\........\mexRF_train.mexw32

.................\...................\........\mexRF_train.mexw64

.................\...................\........\README.txt

.................\...................\........\regRF_predict.m

.................\...................\........\regRF_train.m

.................\...................\........\src

.................\...................\........\...\cokus.cpp

.................\...................\........\...\cokus_test.cpp

.................\...................\........\...\diabetes_C_wrapper.cpp

.................\...................\........\...\mex_regressionRF_predict.cpp

.................\...................\........\...\mex_regressionRF_train.cpp

.................\...................\........\...\qsort.c

.................\...................\........\...\reg_RF.cpp

.................\...................\........\...\reg_RF.h

.................\...................\........\tempbuild

.................\...................\........\test_RegRF_extensively.m

.................\...................\........\tutorial_RegRF.m

.................\...................\........\Version_History.txt

.................\README_Windows_binary.txt