Extracting historical responses from adaptive models
Extract historical customer responses from adaptive models in your application for offline analysis. You can also build a model in a machine learning service of your choice, based on the historical responses that you extract.
When you enable the recording of historical data for a selected adaptive model, Pega Platform extracts historical customer responses from the model, and then stores the responses as a JSON file in a repository of your choice for 30 days. You can store the JSON file for a longer or shorter period of time by configuring the corresponding dynamic system setting.
By default, Pega Platform extracts historical responses only from adaptive models in production environments. You can enable the extraction of historical responses in non-production environments, for example, to test your workflow.
- Determine where you want to save the historical data JSON files by specifying a repository for adaptive models data.
For more information, see Specifying a repository for Prediction Studio models.
- If you want to extract historical data in non-production level environments too, change the value of the decision/adm/archiving/captureProductionLevel dynamic system setting to All.
You can also extract historical data only in a selected production level environment by setting the decision/adm/archiving/captureProductionLevel dynamic system setting to a corresponding level number, for example, 5 for development environments. For a list of production level numbers, see Specifying the production level.
Enable recording historical data for a selected adaptive model.
In the navigation pane of Prediction Studio, click Models.
In the Models workspace, open the adaptive model for which you want to record historical data.
In the Settings tab, in the Recording historical data section, select the Record historical data check box.
In the Sample percentage sections, specify what percentage of all positive and negative customer responses you want to sample for the historical data JSON file:
The higher the sample percentage, the more space you need for storing the data set.
In the Positive outcome field, enter a percentage for positive outcomes.
In the Negative outcome field, enter a percentage for negative outcomes.
To sample all historical customer responses, enter 100.0 in both fields.A web banner typically has a significantly lower number of positive responses (banner clicks), than negative responses (banner impressions). In such cases, you can specify the sample percentage as follows:
- Positive outcome 100.0 %
- Negative outcome 1.0 %
Confirm your settings by clicking Save.
To change how much time elapses between saving a historical data JSON file and deleting the file from your repository, change the value of the decision/adm/archiving/daysToKeepData dynamic system setting.By default, Pega Platform deletes JSON files with a time stamp older than 30 days.
To access a list of all adaptive models along with the path of the historical data repository, in the navigation pane of Prediction Studio, click.On the Historical data screen, you can also access information about the percentage of positive and negative responses that Pega Platform includes for each adaptive model.
- Specifying the production level
Define who can access and make changes to your system by specifying its production level.
- Adaptive analytics
Adaptive Decision Manager (ADM) uses self-learning models to predict customer behavior. Adaptive models are used in decision strategies to increase the relevance of decisions.