Pattern Recognition Toolbox for MATLAB
Matlab C++ C HTML Mathematica Python Other
Latest commit b66a9e3 Mar 20, 2017 @peterTorrione peterTorrione committed on GitHub Merge pull request #53 from covartech/devel
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+prtExternal mods to yaml reading, GP Dec 15, 2015
+prtOptions removed license information from individual files in favor of license… Apr 26, 2016
]beta small mods Jan 9, 2017
]submissions removed license information from individual files in favor of license… Apr 26, 2016
big removed license information from individual files in favor of license… Apr 26, 2016
class Merge branch 'devel' of https://github.com/newfolder/PRT into devel Dec 20, 2016
cluster Added method to prtScoreRoc to plot chance values in Pd/Pf Jun 28, 2016
dataGen biclustering Dec 20, 2016
decision fixed Obj --> SELF Jul 7, 2016
distance removed prtDistanceEarthMover as it requires the optimization toolbox Apr 26, 2016
doc modifications to prtSetup and prtDoc for issue #40 Nov 5, 2015
engine Merge pull request #53 from covartech/devel Mar 20, 2017
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featSel sequential backward feature selection Feb 22, 2017
kernels Opening property internalDataSet in prtKernel Oct 31, 2016
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preProc bug fix in prtPreProcLogDiscPostPlsda.m Jan 5, 2017
regress Merge pull request #53 from covartech/devel Mar 20, 2017
rv mods Aug 11, 2016
score bug fix in prtPreProcLogDiscPostPlsda.m Jan 5, 2017
util Merge pull request #53 from covartech/devel Mar 20, 2017
.gitignore Bug fix in prtAction for case without zero outputs Oct 8, 2012
Contents.m Moved many things withing the directoyr structure. Removed many seldo… Mar 29, 2016
license.txt restoring functionality for larger datasets Apr 26, 2016
prtPath.m Cleaning up path Mar 28, 2016
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readme.md Update to README.md for new documentation directory Oct 16, 2014

readme.md

PRT: Pattern Recognition and Machine Learning in MATLAB

A free and permissively licensed object oriented approach to machine learning in MATLAB.

Machine learning and pattern recognition are everywhere. MATLAB is a high level interpreted language widely used throughout academia and engineering due to its ease of use and numerous available toolboxes. Currently available toolboxes for pattern recognition and machine learning in MATLAB are either costly or restrictively licensed. The PRT is a MIT licensed toolbox that provides access to a wide range of pattern recognition techniques in an easy to use unified framework. The PRT provides a suite of MATLAB commands and data-types to help you organize, visualize, process, cluster and classify your data. If you have data and need to make predictions based on your data, the PRT can help.