随机森林回归matlab代码

随机森林回归matlab代码，可用于回归和分类，简单易用

%**************************************************************
%* 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;
    

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----

    .CA....      2166  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_predict.m

    .CA....     14829  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_train.m

    .CA....       856  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Compile_Check

    .CA....       557  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_linux.m

    .CA....      1718  2010-02-06 16:44  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_windows.m

    .CA....     48856  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\twonorm.mat

    .CA....     96300  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\X_twonorm.txt

    .CA....       600  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt

    .C.D...         0  2011-01-13 10:20  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data

    .CA....      2693  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile

    .CA....      2523  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile.windows

    .CA....     20992  2010-02-06 16:29  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32

    .CA....     26624  2010-02-06 16:44  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64

    .CA....     32256  2010-02-06 16:29  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32

    .CA....     46080  2010-02-06 16:44  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64

    .C.D...         0  2011-01-13 10:20  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64

    .CA....      6848  2009-04-25 21:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o

    .C.D...         0  2011-01-13 10:20  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32

    .CA....      9840  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o

    .C.D...         0  2011-01-13 10:20  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64

    .C.D...         0  2011-01-13 10:20  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub

    .CA....      3255  2010-02-06 17:05  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\README.txt

    .CA....      9840  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\rfsub.o

    .CA....     33889  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classRF.cpp

    .CA....      8947  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classTree.cpp

    .CA....      7678  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus.cpp

    .CA....      1189  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus_test.cpp

    .CA....      5225  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp

    .CA....      8545  2009-05-17 03:11  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp

    .CA....      4676  2009-04-25 20:39  RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\qsort.c

............此处省略48个文件信息