Apply historical interactions data to improve adaptive model predictions of
future customer behavior, by enabling an additional set of potential predictors based on
a predefined Interaction History summary.
For each distinct combination of
the additional set of predictors contains
The aggregated predictors are enabled
by default for every new adaptive model, without any additional setup. For existing
adaptive models, you can enable them manually.Note:
The maximum number of IH
predictors that is defined in
300. When that threshold is exceeded,
Result: The adaptive model uses the IH Summary for making predictions.What to do next: Set pyIHSummary as materialized.
- In the navigation pane of Prediction Studio, click Models.
- Open an adaptive model that you want to edit.
Predictors based on interaction history summaries