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
CLASSIFICATION BASED RANDOMFOREST
****A tutorial for matlab now in tutorial_ClassRF.m****
Ways to generate Mex's and Standalone files
rfsub.o is compiled using fortran from rfsub.f. In case cywin or a fortran
compiler is not present just copy the appropriate (depending on OS)
rfsub.o from precompiled_rfsub directory to the current directory
___STANDALONE____ (not exactly standalone but an interface via C)
An example for a C file using the twonorm dataset for classification
is shown in src/twonorm_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 twonorm -f Makefile.windows'
in cygwin command prompt. Need to have gcc/g++ and g77 (in cygwin)
installed. Also the custom makefile differs from the linux version which has -lgfortran
whereas the windows version doesn't. Will generate twonorm_test.exe
Method 2: use DevC++ (download from http://www.bloodshed.net/devcpp.html ).
Open the twonorm_C_devc.dev file which is a project file which has the sources
etc set. Just compile and run. Will generate twonorm_C_devcpp.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++ and fortran 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 classRF_train and classRF_predict as given below.
See the sample file test_ClassRF_extensively.m
%function Y_hat = classRF_predict(X,model)
%requires 2 arguments
%X: data matrix
%model: generated via classRF_train function
%function model = classRF_train(X,Y,ntree,mtry, extra_options)
%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)
%there are about 14 odd options for extra_options. Refer to tutorial_ClassRF.m to examine them
Version History:
v0.02 (May-15-09):Updated so that classification 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.
《MATLAB_神经网络43个案例分析》源代码ampamp数据.zip
版权申诉
145 浏览量
2023-10-14
19:31:47
上传
评论
收藏 12.94MB ZIP 举报
2201_75761617
- 粉丝: 21
- 资源: 7339
最新资源
- 数据库管理工具:dbeaver-ce-23.1.5-stable.x86-64.rpm
- 以下是一些适用于英语六级作文的万能句型模板,涵盖了引言、正文和结论部分的各类表达方式.docx
- MATLAB中的非线性规划
- 进行C语言面试资格确认是招聘过程中一个重要的步骤,目的是确保候选人具备足够的C语言编程能力和知识.docx
- Java 轻量级的集群负载均衡设计
- 纹身师个人网站模板.jpg
- 在C语言中,连接两个字符串(即将一个字符串附加到另一个字符串的末尾)通常可以使用标准库中的 `strcat` 函数.docx
- 数据库管理工具:dbeaver-ce-23.1.1-stable.x86-64.rpm
- 以下是几个具体竞赛题目的详细解答,包括建模思路、方法和步骤 .docx
- 一份关于全国大学生建模大赛的相关教程!!
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈