Pattern Recognition Toolbox

版本 1.3.0.0 (18.3 MB) 作者: Peter
Free pattern recognition toolbox for MATLAB
10.7K 次下载
更新时间 2018/7/3

The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set from 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.

Installation instructions:
http://newfolder.github.io/prtdoc/prtDocInstallation.html

Additional documentation & (rarely updated) blog available here:
http://newfolder.github.io/

引用格式

Peter (2024). Pattern Recognition Toolbox (https://github.com/covartech/PRT), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2012b
兼容任何版本
平台兼容性
Windows macOS Linux

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+prtExternal/+DataHash

+prtExternal/+IPDM

+prtExternal/+ScrollPanel

+prtExternal/+clickA3DPoint

+prtExternal/+combinator

+prtExternal/+freezeColors

+prtExternal/+json

+prtExternal/+kde

+prtExternal/+kde2d

+prtExternal/+next_comb_perm

+prtExternal/+struct2table

+prtExternal/+structdlg

+prtExternal/+yaml

+prtExternal/+yaml/YAMLMatlab

+prtOptions

]beta/brv

]beta/graph

]beta/graph/dataGen

]beta/graph/graphExamples

]beta/graph/graphUtil

]submissions/Manandhar2012

]submissions/Ratto2012

big

big/dataHandlers

class

cluster

dataGen

decision

distance

doc

engine

engine/dataset

eval

featSel

kernels

multipleInstance

options

outlierRemoval

plot/ui

plot/util

preProc

regress

rv

rv/util

score

score/metrics

util

util/mex/prtRvUtilLogForwardsBackwards

util/mex/prtUtilSumExp

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
1.3.0.0

Added PNG logo, updated comments and tags

1.2.0.0

fixed links to blog and documentation

1.1.0.0

added link to documentation and installation instructions

1.0.0.0

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库