Published Release Notes

Strategy rule form Test Run panel enhancements

The enhanced Test run panel on the Strategy rule form enables an in-depth analysis of your strategy both in terms of the distribution of propositions among customers and strategy performance. For enhanced analysis of decisioning outcomes, you can now test your strategy on real data by selecting data flows and external input as the sources for the test run. For detailed performance analysis, you can use enhanced metrics with various statistics that provide insight into how the strategy execution impacts the performance of the system.

For more information, see Strategy rule enhancements.

New Simulation Conversion wizard

The data flow runs replace simulations that are driven by the Interaction rule instances. Simulations now leverage data processing and strategy instructions that are defined in data flows. Use the Simulation Conversion wizard to convert legacy simulation objects into data flows and data sets. The converted legacy simulations can be re-executed using the batch processing option on the Data Flows landing page.

For more information, see Converting simulations.

New Decision Strategy Manager (DSM) alerts

The new DSM-related runtime alerts allow you to detect performance anomalies in your decisioning projects. The alerts are published in Autonomic Event Services (AES).

For more information, see Performance alerts, security alerts, and AES.

Improvements for the PMML models

The Pega 7 Platform extends support for the PMML models to include PMML 4.2 features and validations. Additionally, the PMML files that contain custom functions can be imported into the Pega 7 Platform and used in strategies.

For more information, see Predictive Model rule form.

Improvements to the adaptive models management

There are several improvements for managing large sets of adaptive models that make model management faster and easier. In the Adaptive Models Management landing page, you can clear and delete models in bulk. In the Predictors tab of the Adaptive Model rule, you can add multiple predictors. In the Memory estimation tab of the Adaptive Model rule, you can estimate the memory that the Adaptive Decision Manager (ADM) system needs to accommodate the models that use the adaptive model configuration.

For more information, see:

• Adaptive Models Management landing page
• Adaptive model form - Completing the Predictors tab
• Adaptive model form - Complating the Memory estimation tab

Improvements to the HBase data set, HFDS data set, and Hadoop host configuration

The Pega 7 Platform features maintenance improvements to the Hadoop host configuration, HBase data set, and Apache Hadoop File System (HDFS) data set. System architects can more easily make HDFS and HBase storage available to business scientists for exploratory analysis and predictive model building.

For more information, see Big data functionality enhancements.

Data Flow rule enhancements

The enhancements to the Data Flow rule facilitate decision execution in real time, batch, and Pega 7 Platform applications. The DataFlow-Execute method in activities can be used to execute and monitor batch runs and real time data flows. In addition, you can configure pre- and post-activities that are executed before and after data flow execution.

For more information, see the following Pega 7 Platform help topics:

• About data flow rules
• DataFlow-Execute method
• Pre- and post-processing of data flows

Strategy canvas enhancements

The Strategy canvas in Decision Management has been enhanced to let you to create, edit, and display your strategy more easily. You can keep your strategy in order using the Smart Mini Map, improved selection capability, and the new Align and Distribute options. Additionally, you can perform the most common operations using keyboard shortcuts and accelerators.

For more information, see Strategy rule enhancements.

New options to manage proposition validity

Manage your decisioning strategy more effectively with proposition validity settings. You can now set your propositions as always active, inactive, or active only within a defined time period. Setting a validity period for your propositions helps you to plan your strategy and automatically activate or deactivate propositions in the future.

For more information, see Proposition validity.

Define adaptive model context

You can define model identifiers in the Adaptive Model rule instance, which serve as partitioning keys, by selecting properties from the top-level SR class of your application. The Adaptive Decision Manager (ADM) server uses model identifiers to create adaptive models that use the same configuration, but collect different adaptive statistics. Use model identifiers in the Adaptive Model rule to create adaptive models for your purposes.

For more information, see the Context tab on the Adaptive Model form.