randomforest-matlab
所属分类：matlab编程
开发工具：matlab
文件大小：1066KB
下载次数：48
上传日期：2015-07-21 10:05:34
上 传 者：
t1060821119
说明： 一个Matlab实现Random Forest的源代码，里面有使用说明和范例
(Random Forest achieve a Matlab source code, there are instructions and examples)
文件列表:
randomforest-matlab (0, 2015-05-04)
randomforest-matlab\.svn (0, 2015-02-03)
randomforest-matlab\.svn\entries (3, 2013-05-30)
randomforest-matlab\.svn\format (3, 2013-05-30)
randomforest-matlab\.svn\pristine (0, 2015-02-03)
randomforest-matlab\.svn\pristine\01 (0, 2015-02-03)
randomforest-matlab\.svn\pristine\01\01635bdaeb2ff51bf5e298bfe73e396a8cff4250.svn-base (18532, 2013-05-30)
randomforest-matlab\.svn\pristine\0f (0, 2015-02-03)
randomforest-matlab\.svn\pristine\0f\0f49e079410a6b8a55204f06bbe10354f7186ef6.svn-base (12043, 2013-05-30)
randomforest-matlab\.svn\pristine\0f\0f7140a34665413483ffb482a5343cb87bc587c6.svn-base (3788, 2013-05-30)
randomforest-matlab\.svn\pristine\16 (0, 2015-02-03)
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randomforest-matlab\.svn\pristine\1f (0, 2015-02-03)
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randomforest-matlab\.svn\pristine\20 (0, 2015-02-03)
randomforest-matlab\.svn\pristine\20\20e54f61916a62610129ded5e039b53e8fe68797.svn-base (2523, 2013-05-30)
randomforest-matlab\.svn\pristine\23 (0, 2015-02-03)
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randomforest-matlab\.svn\pristine\55 (0, 2015-02-03)
... ...
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
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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