INC-206109 · Issue 706236
Delayed Learning works correctly with Volume Constraints
Resolved in Pega Version 8.8
When running an outbound campaign using NBA Designers predictions and delayed learning in conjunction with volume constraints, the adaptive models ended up with incorrect feedback if the prediction had an Alternative label configured with a defined waiting window. This has been resolved with the addition of a new flag 'isVolumeConstraintEnabled' during dataflow creation which will check for volume constraint, and a filter in HandleResponses for that flag.
INC-174550 · Issue 658393
Alternative pyLabel source for Auto-generated Proposition Filter added as fall back
Resolved in Pega Version 8.7
After using save-as to move an offer/action rule containing eligibility criteria into a new ruleset /branch, the criteria disappeared. Proposition Filter has an explicit dependency on relevant records, and in this scenario investigation revealed all of the relevant records had been previously deliberately deleted. Using save-as on auto-generated CDH rules like actions is also not a best practice. To better handle unexpected actions like these and avoid the hard dependency on Relevant Records, when creating the Proposition Filter via the programatic API the system will fall back to reading the label from the sourcePage if is not possible to get the label from Relevant Record.
INC-197730 · Issue 686234
Prediction outcome response timing updated
Resolved in Pega Version 8.7
Predictions using a response timeout were not emitting a negative response ('NoResponse') when the specified waiting time expired. This was traced to the the outcome and response timeout values being overridden while triggering responses for multi stage predictions along with chained predictions. This has been resolved by modifying the flow to emit each outcome as it is received and by adding the dataflow trigger in the function so that it does not override the values in case of chained predictions.
INC-201364 · Issue 690806
Prediction outcome response timing updated
Resolved in Pega Version 8.7
Predictions using a response timeout were not emitting a negative response ('NoResponse') when the specified waiting time expired. This was traced to the the outcome and response timeout values being overridden while triggering responses for multi stage predictions along with chained predictions. This has been resolved by modifying the flow to emit each outcome as it is received and by adding the dataflow trigger in the function so that it does not override the values in case of chained predictions.
INC-179727 · Issue 704543
Modified batch requestor handling to ensure cleanup
Resolved in Pega Version 8.8
A large buildup of batch requestors was seen, and restarting the node did not clear it. Investigation showed that in the case of one class reading a DSS value, a Pega requestor was being created when it was unable to retrieve any Pega context, and this requestor was not cleaned up afterwards. To resolve this, an update has been made to the way the requestor and Pega context is being created along with ensuring it will be cleaned up properly after use.
INC-231889 · Issue 736490
Email Parser updated with entity models and datatype casing
Resolved in Pega Version 8.8
When the email bot receives a message, all of the content plus the appended disclosure statement added by the mail server is considered. This was causing issues when words in the disclosure matched words added in the actual email body as keywords, causing the email bot to pickup multiple categories matching these words and not routing the service case appropriately. This has been resolved by adding AnalysisType.ENTITY in the analysisType list for pre-processing models and updating the logic to find out if entity extraction is selected or not (without using the analysisType list). In addition, an issue where pxEmailParser model was not running in the email channel due to an issue with preprocessing model datatype casing has been resolved by updating ExecutePredictionInPRPC to lowercase the datatype after reading from the text analyzer rule page, and then perform the comparison.
INC-228430 · Issue 744988
RUTA handling improved in Prediction Studio
Resolved in Pega Version 8.8
Out of memory errors were seen when using natural language processing (NLP). Investigation showed that certain Apache Rule-based Text Annotation (RUTA) scripts had disjunctive rules which were not able to handle certain types of texts having base64 characters which were introduced in emails via attachments, images, logos etc, and which caused excessive system loads. This has been resolved by modifying the RUTA handling in the Prediction Studio settings to better manage the scenario.
INC-222561 · Issue 721041
Check added for destination type for distribution test reports
Resolved in Pega Version 8.8
When there were two output destinations in the system, one of type VBD and another of type Database table and both had the same name, an incorrect class was set for distribution test reports and an error was generated when trying to open the report. Investigation showed the system was only checking for the name of the destination and not its type; this has been resolved by adding a pzSetSimulationOutputClass data transform to check for the destination type in addition to the destination name when setting the class for reports.
INC-180246 · Issue 664948
Support for apostrophe added to keyword tokenization
Resolved in Pega Version 8.8
A keyword containing an apostrophe was not detected properly in Text extraction model. This has been resolved by updating the annotator used in the tokenization.
INC-186437 · Issue 685015
Updated entity attachment extraction tokenizers
Resolved in Pega Version 8.7
After creating an entity extraction model, it was seen that one of the entities worked when there was a space after the semicolon but the detection was not working if there was no space. This has been resolved by updating the Tokenizers with extra examples to address tokenization when ":" is present between two words without any spaces.