NDLUTIL software Version 0.151 Friday 24 Feb 2006 at 19:19 Copyright (c) 2006 Neil D. Lawrence This toolbox implements some generic functions used by other toolboxes. Originally it was spun out of the IVM 0.221 toolbox. Version 0.151 ------------- Sped up the sparseDiag command using spdiag, this makes the FGPLVM code run much faster. Version 0.15 ------------ Fixed inconsistencies in logdet and pdinv and corrected the amount of jitter that is added at first try. Placed the jitter addition in a new file jitChol which is called by both functions. Added kldivGaussian for computing Gaussian Kullback-Leibler divergences. Added deg2rad for converting degrees to radians. Version 0.142 ------------- Added sparseDiag and moved data loading methods into the new DATASETS toolbox. Version 0.14 ------------ Moved in lvmLoadData and mappingLoadData as generic methods of loading in data sets. Version 0.131 Release Notes --------------------------- Added files getline.m and tokenise.m which are string utilities for reading and processing files. Version 0.13 Release Notes -------------------------- pdinv now adds jitter which is proportional to the mean of the diagonal elements of the matrix. MATLAB Files ------------ Matlab files associated with the toolbox are: cumGaussian.m: Cumulative distribution for Gaussian. defaultOptions.m: The default options for optimisation. deg2rad.m: Transform degrees to radians. gaussOverDiffCumGaussian.m: A gaussian in x over the difference between two cumulative Gaussians. gaussSamp.m: Sample from a Gaussian with a given covariance. getline.m: Get a line from a file, but ignore it if it starts with a comment (default #). getSymbols.m: Get a cell structure of different plot symbols. gradientCheck.m: Check gradients of objective function. gradLogCumGaussian.m: Gradient of the log of the cumulative Gaussian. invCumGaussian.m: Inverser of the cumulative Gaussian. invSigmoid.m: The inverse of the sigmoid function. jitChol.m: Do a Cholesky decomposition, if matrix isn't positive definite add jitter and do it again. kldivGaussian.m: Give the KL divergence between two Gaussians. lnCumGaussian.m: log cumulative distribution for Gaussian. lnDiffCumGaussian.m: Computes the log of the difference between two cumulative Gaussians. logdet.m: The log of the determinant when argument is positive definite. ngaussian.m: Compute a Gaussian with mean 0 and variance 1. numsf2str.m: Convert number to a string with a number of significant digits. pdinv.m: Invert a positive definite matrix. preparePlot.m: Helper function for tidying up the plot before printing. rocCurve.m: Draw ROC curve and return labels. scatterPlot.m: 2-D scatter plot of labelled points. sigmoid.m: The sigmoid function sparseDiag.m: Create a diagonal matrix that is sparse from a vector. stack.m: Return column stacked vector of given matrix. stringSigFigs.m: Convert number to a string with a number of significant digits. stringSplit.m: Return separate parts of a string. tableRead.m: Read in data which has column titles in the first line and separated values in each other line. tokenise.m: Split a string into separate tokens. traceProduct.m: Returns the trace of the product of two matrices. zeroAxes.m: A function to move the axes crossing point to the origin.