Support for PMML version 4.3 in predictive models
Valid from Pega Version 7.3.1
You can now leverage predictive models in the Predictive Model Markup Language (PMML) version 4.3 by importing them into predictive models on Pega® Platform. Pega Platform utilizes a large part of the PMML standard with the exception of some PMML 4.3 features that are not supported in the Predictive Model rule.
For more information, see Support for PMML version 4.3 in predictive models and Creating a predictive model.
Migrate DDS data across various schema versions
Valid from Pega Version 7.3.1
You can use multiple versions of a single Decision Data Store (DDS) data set type in different applications that run on the same Pega® Platform instance and efficiently move data across those versions even if the underlying data schema is different. This solution improves the data management process and simplifies the reuse of existing data.
For more information, see Decision Data Store migration.
Specify a model transparency policy for predictive models
Valid from Pega Version 7.3.1
Specify a model transparency policy in Pega® Platform to indicate predictive models that are compliant or non-compliant to use in particular business issues. Increase the transparency threshold of particular business issues to allow the use of more transparent models. Decrease the transparency threshold to allow for the use of less transparent and opaque models. Models with a transparency score below the transparency threshold are marked as non-compliant.
For more information, see Model transparency for predictive models.
Define custom dimensions in VBD data sets
Valid from Pega Version 7.3.1
Beginning with version 7.3.1, you can define custom dimensions when you create a Visual Business Director (VBD) data set in Pega® Platform. With this option, you can use any custom or existing property from the Applies To class of the VBD data set as a dimension to visualize your data, in addition to the properties in the default set of dimensions.
For more information, see Creating a Visual Business Director data set record.
Build predictive models with the genetic algorithm
Valid from Pega Version 7.3.1
A genetic algorithm solves optimization problems by creating a generation of possible solutions to the problem. In Pega® Platform you can utilize the functionality of genetic algorithms by using the genetic algorithm model in the Analytics Center portal. With this type of predictive model, you can create highly predictive, non-linear models by selecting the best performing model from the last generation.
For more information, see Creating models and Creating a genetic algorithm model.