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:

xptopen.mex: [HTML_REMOVED] reads and writes SAS Transport format (*.xpt) ttest and ttest2: [HTML_REMOVED] paired and unpaired t-test for data with missing values (useful for users of Octave, and for Matlab users without statistics toolbox)

• train_sc: bug fix when labels are single column {-1,1} format
• test_sc: improved docu for R.output

For more details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG

BibTeX Entry: Download

URL: Project Homepage

Supported Operating Systems: Agnostic

Data Formats: Matlab, Octave, Csv, Dlm, Sasxpt, Stata

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

Archive: download here

Other available revisons

Version	Changelog	Date
2.3.0	xptopen.mex: [HTML_REMOVED] reads and writes SAS Transport format (*.xpt) ttest and ttest2: [HTML_REMOVED] paired and unpaired t-test for data with missing values (useful for users of Octave, and for Matlab users without statistics toolbox) train_sc: bug fix when labels are single column {-1,1} format test_sc: improved docu for R.output For more details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG	August 27, 2010, 15:49:59
2.2.1	This is a bug fix release. Bug fix and performance improvement for median and kth_element. For more details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG	July 29, 2010, 22:37:49
2.2.0	support for weighted liblinear row-column deletion for data with missing values improved faster median computation through the use of kth_element mexw32 binaries included better make/built scripts a several minor improvements Some minor bug fixes. For details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG	June 26, 2010, 01:33:32
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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