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資源簡介

這個是randomforest的MATLAB的工具箱。然后用《《MATLAB 神經網絡43個案例分析》測試隨機森林分類有效。 工具箱的使用是的科研進展的速度加快。自己只需要在此基礎上修改,得到你想要的實驗的結果

資源截圖

代碼片段和文件信息

%**************************************************************
%*?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
-----------?---------??----------?-----??----
?????文件??????????61??2018-12-19?16:46??read.txt
?????目錄???????????0??2009-05-17?03:16??randomforest-matlab\
?????目錄???????????0??2009-05-17?03:18??randomforest-matlab\RF_Class_C\
?????文件????????2166??2009-05-17?03:11??randomforest-matlab\RF_Class_C\classRF_predict.m
?????文件???????14829??2009-05-17?03:11??randomforest-matlab\RF_Class_C\classRF_train.m
?????文件?????????856??2009-04-25?20:39??randomforest-matlab\RF_Class_C\Compile_Check
?????文件?????????557??2009-05-17?03:11??randomforest-matlab\RF_Class_C\compile_linux.m
?????文件????????1589??2009-05-17?03:11??randomforest-matlab\RF_Class_C\compile_windows.m
?????目錄???????????0??2009-05-17?03:16??randomforest-matlab\RF_Class_C\data\
?????文件???????48856??2009-04-25?20:39??randomforest-matlab\RF_Class_C\data\twonorm.mat
?????文件???????96300??2009-04-25?20:39??randomforest-matlab\RF_Class_C\data\X_twonorm.txt
?????文件?????????600??2009-04-25?20:39??randomforest-matlab\RF_Class_C\data\Y_twonorm.txt
?????文件????????2693??2009-05-17?03:11??randomforest-matlab\RF_Class_C\Makefile
?????文件????????2523??2009-05-17?03:11??randomforest-matlab\RF_Class_C\Makefile.windows
?????目錄???????????0??2009-05-17?03:16??randomforest-matlab\RF_Class_C\precompiled_rfsub\
?????目錄???????????0??2009-05-17?03:16??randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64\
?????目錄???????????0??2009-05-17?03:16??randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\
?????文件????????6848??2009-04-25?21:39??randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o
?????目錄???????????0??2009-05-17?03:17??randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\
?????文件????????9840??2009-04-25?20:39??randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o
?????文件????????3128??2009-05-17?03:11??randomforest-matlab\RF_Class_C\README.txt
?????文件????????9840??2009-04-25?20:39??randomforest-matlab\RF_Class_C\rfsub.o
?????目錄???????????0??2009-05-17?03:17??randomforest-matlab\RF_Class_C\src\
?????文件???????33889??2009-05-17?03:11??randomforest-matlab\RF_Class_C\src\classRF.cpp
?????文件????????8947??2009-05-17?03:11??randomforest-matlab\RF_Class_C\src\classTree.cpp
?????文件????????7678??2009-04-25?20:39??randomforest-matlab\RF_Class_C\src\cokus.cpp
?????文件????????1189??2009-04-25?20:39??randomforest-matlab\RF_Class_C\src\cokus_test.cpp
?????文件????????5225??2009-05-17?03:11??randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp
?????文件????????8545??2009-05-17?03:11??randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp
?????文件????????4676??2009-04-25?20:39??randomforest-matlab\RF_Class_C\src\qsort.c
?????文件????????5186??2009-05-17?03:11??randomforest-matlab\RF_Class_C\src\rf.h
............此處省略35個文件信息

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