Pattern Recognition Toolbox
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/
Citation pour cette source
Peter (2025). Pattern Recognition Toolbox (https://github.com/covartech/PRT), GitHub. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
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- AI and Statistics > Statistics and Machine Learning Toolbox >
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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+prtExternal/+combinator
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]beta/brv
]beta/graph
]beta/graph/dataGen
]beta/graph/graphExamples
]beta/graph/graphUtil
]submissions/Manandhar2012
]submissions/Ratto2012
big
big/dataHandlers
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engine/dataset
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plot/util
preProc
regress
rv
rv/util
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score/metrics
util
util/mex/prtRvUtilLogForwardsBackwards
util/mex/prtUtilSumExp
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | |
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| 1.3.0.0 | Added PNG logo, updated comments and tags |
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| 1.2.0.0 | fixed links to blog and documentation |
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| 1.1.0.0 | added link to documentation and installation instructions |
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| 1.0.0.0 |
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