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 704544
Modified batch requestor handling to ensure cleanup
Resolved in Pega Version 8.7.2
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-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.
INC-168271 · Issue 640347
ADM performance improvements and duplicate inputs corrected for delayed learning records
Resolved in Pega Version 8.7
Additional work has been done to improve the performance for Adaptive Models used in multi-level decisioning, and an issue with duplicate pxCommonInputs has been resolved.
INC-193986 · Issue 680032
Parameter logic updated for metrics activity counter
Resolved in Pega Version 8.7
An error was causing the PushCDHMetrics agent to fail. This was traced to an undefined parameter in the activity which was used as a counter, and has been resolved by replacing it with a local variable of type integer.
SR-D26976 · Issue 507217
Filter added to ensure correct context for proposition strategy rules
Resolved in Pega Version 8.2.4
Given two applications (ex App1 and App2) hosted on the same domain where App2 was built on App1, trying to create a strategy rule in App1 and do a test run strategy using the propositional data component which internally uses App2 propositions generated the error: Failed to find a 'RULE-DECISION-DECISIONPARAMETERS' with the name 'GROUP_2'. There were 1 rules with this name in the rulebase, but none matched this request." Investigation showed the strategy was using the PropositionNoCacheUtils and PropositionTools java classes to load the propositions during run time. In these classes, the group classes were browsed from the db irrespective of the application context, causing the strategy run to fail as it was not able to access the decision data rules in other applications which shared the same SR class as the current application. To resolve this, a filter has been added to the PropositionNoCacheUtils and PropositionTools java classes to filter out the groups that are not in the current application context.
INC-169544 · Issue 649541
Enhancement for MaxEnt modeling data
Resolved in Pega Version 8.7
An enhancement has been added to create output for the model coefficients, the term frequency, and the inverse term frequency for use in maximum entropy modeling. For MRM processes, every Maximum Entropy (Maxent) based topic model will contain two additional stats resources. These resources can be used to validate and replicate running of topic model outside of Pega. The resources are: 1) Term Frequency file – A CSV file with all words used for training and their cumulative frequency across training set. File name format – TRAINING_DATA_TERM_FREQUENCY_< RandomNumber >.csv olumns – Word, Count 2) Coefficient file – A CSV file with all features (words, taxonomy matches and category matches) and model learnt weights for each topic across training set. File name format – MAXENT_COEFFICIENT_VALUE.csv Columns – Feature, < TopicName1 >, < TopicName2 > ,…, < TopicNameK >
SR-D12733 · Issue 488666
Code fragment removed to eliminate Fortify false positive
Resolved in Pega Version 8.2.4
A code remnant related to Boolean.getBoolean(..) in Rule-Declare testConsistency was causing a false positive in a Fortify scan. This piece of code is obselete and is not used anywhere, and has been removed.
SR-D40833 · Issue 506792
Response Strategy works for predictive models
Resolved in Pega Version 8.2.4
After implementing the response strategy for the predictive model and capturing the response, "Refresh Data" in the monitor tab of the predictive model still showed no response captured. As a result, it was not possible to analyze the performance of the model or use it for reporting. This was traced to recent work done so that Response processing now references the factory against a new table. However, the entries in this table were not created for predictive models, causing responses to not be processed. This has been resolved by adding predictive models to the event processor and ensure the functions are using the new factory initializer.