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Setting the response timeout

Suggest edit Updated on August 9, 2021

If you upgrade your Pega Customer Decision Hub application from version 8.4.x and you want to use the response timeout mechanism for delayed learning of adaptive models in outbound runs, you need to set the response timeout for the relevant predictions.

Before you begin: Identify the predictions for which you want to set the response timeout. Use the list that you created during the pre-upgrade stage when you removed the pyCampaignOptimization flags from the customized prediction strategies. For more information, see Updating customized prediction strategies.
  1. In Prediction Studio, open a prediction for which you want to set the response timeout, and then click Settings.

  2. In the Response timeout section, select the Fixed time frame option, and then specify how long you want the system to wait for a response to your offer.

    Response timeout settings in a prediction
    In Prediction Studio, the fixed time frame option is selected and
                                set to one minute.
    Result: After the specified amount of time elapses, the system records the alternative outcome for the interaction.
  3. In the Response labels section, ensure that the mapping of the response labels in the prediction matches the outcome mapping in the adaptive model.

    In the following example, the response labels (that represent the possible outcomes of a prediction) are the same as the outcomes in the adaptive model used in that prediction:

    Response labels in a prediction and outcomes in an adaptive model
    A prediction and an adaptive model in Prediction Studio. Prediction
                                response labels are the same as the model outcomes.

    In customized predictions, the mappings might be mismatched. Keeping the respective mappings in sync ensures that the statistics on the Analysis tab of a prediction are correct.

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