DataModeler Pro

DataModeler Release 8.20 (March 2014)

We have a very nice update for our users! This release features performance and option tuning to better exploit the OptimizeLinearModel capability introduced in the previous release as well as a number of enhancements to improve the results display and ease-of-use. The complete release notes are available at the end of this post. We also think we might have worked around the infamous Mathematica tooltip bug wherein tooltip content stop being properly displayed.

DataModeler Release 8.16 (1 March 2013)

The highlights of this release are the new DataCompletenessMap and DataCompletenessPlot. These are useful to get the zen of data sets which feature incomplete data. Related to this, we have introduced a new SymbolicRegression option, NumericPredictionRequirement, since the default of evaluating model quality only on complete records in the data meant that models could, in extreme circumstances, be assessed on far fewer data records than expected even though each of the constituent variables passed the NumericColumnThreshold.

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