APAR status
Closed as program error.
Error description
When executing a decision service that has multiple predictive models using the same Machine learning provider the execution fails. The issue is that the Machine learning provider paylaod cannot be deserialized since the same Machine learning provider is added several time. The following message can be found in the logs: "localizedMessage": "Cannot deserialize instance of `co m.ibm.decision.ml.integration.client.MachineLearningProvider$Ma chineLearningProviderBuilder`out of START_ARRAY token\n
Local fix
Problem summary
**************************************************************** * USERS AFFECTED: * * Users using Machine Learning integration * **************************************************************** * PROBLEM DESCRIPTION: * * When the multiple predictive models are defined in the same * * provider the provider is listed multiple times which is not * * supported by the runtime * **************************************************************** * RECOMMENDATION: * ****************************************************************
Problem conclusion
the code is fixed to detect and remove duplicate providers from the list of providers.
Temporary fix
Comments
APAR Information
APAR number
JR63917
Reported component name
CLOUD PAK FOR A
Reported component ID
5737I2300
Reported release
L00
Status
CLOSED PER
PE
NoPE
HIPER
NoHIPER
Special Attention
NoSpecatt / Xsystem
Submitted date
2021-07-09
Closed date
2021-07-23
Last modified date
2021-07-23
APAR is sysrouted FROM one or more of the following:
APAR is sysrouted TO one or more of the following:
Fix information
Fixed component name
CLOUD PAK FOR A
Fixed component ID
5737I2300
Applicable component levels
[{"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Product":{"code":"SSBYVB","label":"IBM Cloud Pak for Business Automation"},"Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"L00","Line of Business":{"code":"LOB45","label":"Automation"}}]
Document Information
Modified date:
11 March 2022