Advanced settings for operations that are performed in the ADM database.
Field |
Description |
| Performance memory |
A value that determines the number of cases of moving window size per proposition. The number of cases of moving window size per proposition influences the calculation of the CoC, and it is implemented so that equal comparison between models can be performed. The default setting is 0. |
| Refresh after |
A value that determines the number of interaction results that trigger refreshing the scoring models in the ADM database. Model refresh is performed when the number of interaction results in this settings is reached. You should set this value to a value lower than the value for running data analysis. The default setting is 150. |
| Enable local updates |
Check to enable or disable updating the model's local profile after every response. This setting allows you to enable local (PRPC) learning for the adaptive models configured by the adaptive model rule. The default setting is enabled. |
| Audit notes |
Check if you want adaptive model details captured in the work object's history. The Default setting is disabled. |