NaN toolboxhttp://mloss.orgUpdates and additions to NaN toolboxenSun, 22 Jan 2017 12:24:59 -0000NaN toolbox 3.1.2<html><p>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).<br /> </p></html>alois schloeglSun, 22 Jan 2017 12:24:59 -0000 classmachine learningmissing datastatisticsweighting