Pattern Recognition Toolbox

버전 1.3.0.0 (18.3 MB) 작성자: Peter
Free pattern recognition toolbox for MATLAB
4.7
(7)
다운로드 수: 10.7K
업데이트 날짜: 2018/7/3
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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/

인용 양식

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

MATLAB 릴리스 호환 정보
개발 환경: R2012b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

+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

GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전 게시됨 릴리스 정보
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

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