文件名称:covartech-PRT-2a07a56
介绍说明－－下载内容均来自于网络，请自行研究使用
The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a fr a mework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataSetClass(X,Y)
and run Z-score normalization + an SVM:
algo = prtPreProcZmuv + prtClassLibSvm
dsOut = algo.kfolds(ds)
And score the results:
prtScoreRoc(dsOut)
It s that easy. It s free. Have fun.-The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a fr a mework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataSetClass(X,Y)
and run Z-score normalization+ an SVM:
algo = prtPreProcZmuv+ prtClassLibSvm
dsOut = algo.kfolds(ds)
And score the results:
prtScoreRoc(dsOut)
It s that easy. It s free. Have fun.
Create a data set your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataSetClass(X,Y)
and run Z-score normalization + an SVM:
algo = prtPreProcZmuv + prtClassLibSvm
dsOut = algo.kfolds(ds)
And score the results:
prtScoreRoc(dsOut)
It s that easy. It s free. Have fun.-The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a fr a mework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataSetClass(X,Y)
and run Z-score normalization+ an SVM:
algo = prtPreProcZmuv+ prtClassLibSvm
dsOut = algo.kfolds(ds)
And score the results:
prtScoreRoc(dsOut)
It s that easy. It s free. Have fun.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
covartech-PRT-2a07a56
.....................\+prtExternal
.....................\............\+DataHash
.....................\............\.........\DataHash.m
.....................\............\+IPDM
.....................\............\.....\ipdm.m
.....................\............\.....\license.txt
.....................\............\+ScrollPanel
.....................\............\............\ScrollPanel.m
.....................\............\............\ScrollPanelOrig.m
.....................\............\+clickA3DPoint
.....................\............\..............\callbackClickA3DPoint.m
.....................\............\..............\clickA3DPoint.m
.....................\............\..............\license.txt
.....................\............\..............\rowNorm.m
.....................\............\+combinator
.....................\............\...........\combinator.m
.....................\............\...........\cumsumall.cpp
.....................\............\...........\cumsumall.m
.....................\............\...........\cumsumall.mexmaci64
.....................\............\...........\cumsumall.mexw32
.....................\............\...........\license.txt
.....................\............\+freezeColors
.....................\............\.............\freezeColors.m
.....................\............\.............\license.txt
.....................\............\.............\unfreezeColors.m
.....................\............\+json
.....................\............\.....\json2mat.m
.....................\............\.....\license.txt
.....................\............\.....\mat2json.m
.....................\............\+kde
.....................\............\....\kde.m
.....................\............\....\kdeOrig.m
.....................\............\....\license.txt
.....................\............\+kde2d
.....................\............\......\kde2d.m
.....................\............\......\kde2dOrig.m
.....................\............\......\license.txt
.....................\............\+libsvm
.....................\............\.......\COPYRIGHT
.....................\............\.......\Makefile
.....................\............\.......\README
.....................\............\.......\libsvmread.c
.....................\............\.......\libsvmread.mexmaci64
.....................\............\.......\libsvmread.mexw32
.....................\............\.......\libsvmread.mexw64
.....................\............\.......\libsvmwrite.c
.....................\............\.......\libsvmwrite.mexmaci64
.....................\............\.......\libsvmwrite.mexw32
.....................\............\.......\libsvmwrite.mexw64
.....................\............\.......\svm.cpp
.....................\............\.......\svm.h
.....................\............\.......\svm.obj
.....................\............\.......\svm_model_matlab.c
.....................\............\.......\svm_model_matlab.h
.....................\............\.......\svm_model_matlab.obj
.....................\............\.......\svmpredict.c
.....................\............\.......\svmpredict.mexmaci64
.....................\............\.......\svmpredict.mexw32
.....................\............\.......\svmpredict.mexw64
.....................\............\.......\svmtrain.c
.....................\............\.......\svmtrain.mexmaci64
.....................\............\.......\svmtrain.mexw32
.....................\............\.......\svmtrain.mexw64
.....................\............\+next_comb_perm
.....................\............\...............\license.txt
.....................\............\...............\nextchoose.m
.....................\............\...............\nextmultichoose.m
.....................\............\...............\nextperm.m
.....................\............\...............\nextstring.m
.....................\............\+struct2table
.....................\............\.............\license.txt
.....................\............\.............\struct2table.m
.............