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Pattern Recognition Toolbox

version 1.3.0.0 (18.3 MB) by Peter
Free pattern recognition toolbox for MATLAB

10.4K Downloads

Updated 03 Jul 2018

From GitHub

View license on GitHub

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/

Cite As

Peter (2022). Pattern Recognition Toolbox (https://github.com/covartech/PRT), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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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

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.