%**************************************************************
%*?mex?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
%
%?Calls?Classification?Random?Forest
%?A?wrapper?matlab?file?that?calls?the?mex?file
%?This?does?prediction?given?the?data?and?the?model?file
%?Options?depicted?in?predict?function?in?http://cran.r-project.org/web/packages/randomForest/randomForest.pdf
%**************************************************************
%function?[Y_hat?votes]?=?classRF_predict（Xmodel?extra_options）
%?requires?2?arguments
%?X:?data?matrix
%?model:?generated?via?classRF_train?function
%?extra_options.predict_all?=?predict_all?if?set?will?send?all?the?prediction.?
%
%
%?Returns
%?Y_hat?-?prediction?for?the?data
%?votes?-?unnormalized?weights?for?the?model
%?prediction_per_tree?-?per?tree?prediction.?the?returned?object?.
%???????????If?predict.all=TRUE?then?the?individual?component?of?the?returned?object?is?a?character
%???????????matrix?where?each?column?contains?the?predicted?class?by?a?tree?in?the?forest.
%
%
%?Not?yet?implemented
%?proximity

function?[Y_new?votes?prediction_per_tree]?=?classRF_predict（Xmodel?extra_options）
????
????if?nargin<2
		error（‘need?atleast?2?parametersX?matrix?and?model‘）;
????end
????
????if?exist（‘extra_options‘‘var‘）
????????if?isfield（extra_options‘predict_all‘）?
????????????predict_all?=?extra_options.predict_all;
????????end
????end
????
????if?~exist（‘predict_all‘‘var‘）;?predict_all=0;end
????????????
????????
????
	[Y_hatprediction_per_treevotes]?=?mexClassRF_predict（X‘model.nrnodesmodel.ntreemodel.xbestsplitmodel.classwtmodel.cutoffmodel.treemapmodel.nodestatusmodel.nodeclassmodel.bestvarmodel.ndbigtreemodel.nclass?predict_all）;
	%keyboard
????votes?=?votes‘;
????
????clear?mexClassRF_predict
????
????Y_new?=?double（Y_hat）;
????new_labels?=?model.new_labels;
????orig_labels?=?model.orig_labels;
????
????for?i=1:length（orig_labels）
????????Y_new（find（Y_hat==new_labels（i）））=Inf;
????????Y_new（isinf（Y_new））=orig_labels（i）;
????end
????
????1;
????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\
?????文件????????1200??2010-02-06?17:01??隨機森林工具包RF_MexStandalone-v0.02-precompiled\README_Windows_binary.txt
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\
?????文件?????????856??2009-04-25?20:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Compile_Check
?????文件????????2693??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile
?????文件????????2523??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile.windows
?????文件????????3255??2010-02-06?17:05??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\README.txt
?????文件????????1470??2010-02-06?17:04??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Version_History.txt
?????文件????????2166??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_predict.m
?????文件???????14829??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_train.m
?????文件?????????557??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_linux.m
?????文件????????1718??2010-02-06?16:44??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_windows.m
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\
?????文件???????96300??2009-04-25?20:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\X_twonorm.txt
?????文件?????????600??2009-04-25?20:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt
?????文件???????48856??2009-04-25?20:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\twonorm.mat
?????文件???????20992??2010-02-06?16:29??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32
?????文件???????26624??2010-02-06?16:44??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64
?????文件???????32256??2010-02-06?16:29??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32
?????文件???????46080??2010-02-06?16:44??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\
?????目錄???????????0??2017-02-12?16:31??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64\
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\
?????文件????????6848??2009-04-25?21:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\
?????文件????????9840??2009-04-25?20:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o
?????文件????????9840??2009-04-25?20:39??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\rfsub.o
?????目錄???????????0??2017-02-12?15:42??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\
?????文件???????33889??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classRF.cpp
?????文件????????8947??2009-05-17?03:11??隨機森林工具包RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classTree.cpp
............此處省略44個文件信息