Release 3.40.03 Highlights
- New feature: Allow PMML scoring code exporting.
- New feature: Provide processing time estimate in categorical variable auto-grouping, in the case of large number of categories.
What's New?
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Innovative
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Modeling
Release 3.30.02 Highlights
- New feature: Any grouped value can be ungrouped back to the original values.
- New feature: Auto-grouping can be done with user-specified number of groups and 'similarity' (by predictive pattern) among variable predictive values.
- New feature: New feature: The Continuous Target Variable (CTV) module has been implemented. Now the target variable can be either binary or continuous
- New feature: In the CTV module, implemented the new measurements: R-Square, Rank R-Square, AIC, MSE
- New feature: In the CTV module, implemented 'trimming' functionality, allowing user to exclude extreme values (outliers) from the dependent variable
- Enhancement: In the Model tab, multiple variables into the model can be selected at one time, using Windows-style shift or control keys. Previously, the selection had to be done one variable at a time.
- Enhancement: ATS functions are not built for excluded variables, for increased processing speed, but they can be built if the exclude checkbox is unchecked
Resources
Terminology note:
With a consideration of the underlying technology and our desire to make it simpler for the new users, the new version adopts the following changes:
- ADR is changed to ATS (Adaptive Transformation Score) - this reflects the key technology behind Gains#, which is a flexible, adaptive transformation from raw data value to a consistent, comparable score scale.
- GPS to Predictive Strength - This is the overall variable predictive value. We think the Pred. Strength is a self-explanatory term and easier for the new users.
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