Release History
The table below lists the improvements and bug fixes of the last DataLab versions. The latest release can
be loaded from the download page. Please note that updates which are not yet part of the last major release can be activated by using the automatic update mechanism (see also the list of the latest changes).
Release 4.000 [20210205] 
New Features
 DLabPascal now provides an integrated debugger
 several extensions of the builtin DLabPascal library
 signal integration tool
 a tool for calculating binary classifier metrics
 new statistical test: median test
Improvements and Changes
 Wilcoxon test report now displays the median of the differences as well
 redesigned random forest form
 a variable set repository makes the selection of variables much more convenient
 the RF applicator has now an option to create binary results for classifiers
 the PLS Applicator now shows the CF thresholds and allows to store the results in the aux. maxtrix or append it to the data matrix
 the data editor now supports ^C and ^V for copy and paste (instead of 'extract from clipboard')
 refurbished kmeans clustering
 RBF network extended
 PLS/DA now displays more classifier metrics (same as MBL)
 numerical editor: row names are now displayed using a much longer maximal length; two additional fonts (Tahoma, Verdana) included
 MLR and Ridge Regression diagrams provide now more plot options
 memory based learner improved in many details
 refurbished Kohonen map
 improved edit/selection mode in data description window
 additional performance metrics for RF classifiers
 formula editor now uses the ° symbol as cell reference
 class color setup dialog now supports saving and loading color palettes
 the default class color palette has been improved

Release 3.951 [20200326] 
New Features
 Linear Discriminant Analysis (LDA)
 new statistical tests: chi2 goodnessoffit, contingency analysis, adjusted Rand index
 extended DLabPascal:
 full support of the programmatic control of the plot parameters
 many extensions of the builtin library
 memory based learner (kNN) is now supported by DLabPascal
 univariate regression tool can now generate a DLabPascal script
Improvements and Changes
 user interface of the growing neural network improvd
 added a new and better language selection dialog
 the symbol used for dot attribute in 2d plots can now be selected by the user
 all save dialogs are now exhibiting a consistent user interface
 major revision of the memory based learner (kNN)
 added documentation for TAssocArray

Release 3.910 [20190329] 
New Features
 DataLab provides now an "open windows" selector which allows to switch between windows
 the data plots now provide a graphical marking tool to apply red and blue marks using either a lasso or a rectangle
 DataLab offers now a universal scripting language called DLabPascal which allows to automate recurring tasks
 the newly implemented memory based learning tool provides powerful option both for regression modelling and classification
 a new baseline correction tool allows to correct the baseline of a signal
 all windows can now be detached from the DataLab master window to allow for multiple monitors
 DataLab now supports random forest models (both regression models and classifiers)
 contingency analysis and Fisher's exact test are now available for the analysis of nominal data
Improvements and Changes
 pressing the ESC key now closes the current window (if appropriate)
 various MLR improvements: Cook's distance is now calculated and displayed as a graph; DurbinWatsonTest now displays the critical limits and the decision
 drawn from the test; added 'copy yhat to matrix clipboard' to the MLR results page;
 ridge regression: implemented a trace of parameter significance
 fixed zoom mode of 2D plots improved
 implemented binomal distribution in distribution calculator
 the desktop color can now be set by the user
 the digitizer accepts now PNG images as well
 extended 2D data designer: data can be loaded from main data table; two specific columns of the data matrix can be overwritten
 the plot window now has coordinate and object display
 the scaling tool now supports qnormalisation ánd squashing functions
 various improvements of the simple regression tool: data points can now be connected, polynomial coefficients are now evaluated by adding the pvalues, residuals can now be plotted against the object index, plot parameters can now be adjusted
 cluster analysis: base line is now moveable to allow for long object names
 implemented the creation of mutually exclusive test and training sets in the data split tool

Release < 3.910 
Release history of versions before release 3.910 has been deleted for brevity 
