Description:

The NaN-toolbox provides a number of statistics functions and machine learning methods for the use with Octave and Matlab. The functions can handle data with missing values encoded as NaNs, weighting of data samples, and multi-class classification (using a one-versus-rest scheme). There is a common interface to a number of different classification methods (including FDA, LDA, Naive Bayes, QDA, RDA, sparse classifiers, interfaces to some SVMs, regression/PLS, Wiener-Hopf).

Changes to previous version:

-) Feature ranking algorithm added (fss.m) -) train_sc: {-1,+1}-encoding of classlabels supported weighted liblinear and svm source code included add "Deletion"-Mode: this enables NaN-support for training algorithms that did not have support for data with SVM (liblinear, SVM, etc.) -) str2double.mex for fast decoding of delimiter files. -) bug fixes (train_sc PLA)

Some minor bug fixes. For details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG

BibTeX Entry: Download

URL: Project Homepage

Supported Operating Systems: Agnostic

Data Formats: Matlab

Tags: Classification, Multi Class, Machine Learning, Missing Data, Statistics, Weighting

Archive: download here

Other available revisons

Version	Changelog	Date
2.1.0	-) Feature ranking algorithm added (fss.m) -) train_sc: {-1,+1}-encoding of classlabels supported weighted liblinear and svm source code included add "Deletion"-Mode: this enables NaN-support for training algorithms that did not have support for data with SVM (liblinear, SVM, etc.) -) str2double.mex for fast decoding of delimiter files. -) bug fixes (train_sc PLA) Some minor bug fixes. For details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG	February 28, 2010, 22:00:21
2.0.4	improved accuracy in COVM and SUMSKIPNAN using Kahan's formula and extended double; fixed XVAL and a few minor bugs. Some minor bug fixes. For details see: http://hci.tugraz.at/schloegl/matlab/NaN/CHANGELOG	November 22, 2009, 23:05:53
2.03a	fixed STD and VAR: fixed empty opt did not resolve to default removed REM and MOD in order to avoid annoying warnings Some minor bug fixes. For details see: http://hci.tugraz.at/schloegl/matlab/NaN/CHANGELOG	November 12, 2009, 15:32:55
2.03	New: load_fisheriris Changed: xval: fix ambiguity between W and NG if W is empty Some minor bug fixes. For details see: http://hci.tugraz.at/schloegl/matlab/NaN/CHANGELOG	September 24, 2009, 15:17:11
2.02	New: fss: a feature ranking algorithm is included. cat2bin: converts categorial data into binary data Improvements: train_sc supports psvm with weighted samples, PLA and Winnow algorithm Some minor bug fixes. For details see: http://hci.tugraz.at/schloegl/matlab/NaN/CHANGELOG	September 4, 2009, 17:07:25
2.0	Initial Announcement on mloss.org.	July 28, 2009, 13:38:20

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