Use the Call instruction with the
DSMPublicAPI-ADM.pxUploadResponsesFromReport or
Rule-Decision-AdaptiveModel.pyUploadResponsesFromReport activities to train
adaptive models with data from a report definition on Interaction History fact records. The use
of previous results allows for Adaptive Decision Manager to create models that can predict
behavior.
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Create an instance of the Activity rule by clicking .
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In the activity steps, enter one of the following methods:
- Recommended: Call
DSMPublicAPI-ADM.pxUploadResponsesFromReport
- Call
Rule-Decision-AdaptiveModel.pyUploadResponsesFromReport
-
Click the arrow to the left of the Method field to expand the method and specify its
parameters:
- Name of the report definition
- Class of the report definition
- Page of class Embed-Decision-OutcomeColumnInfo This page needs to
provide pyName as the outcome column in the report definition that
defines the behavior and map these values to the possible outcomes from which the
adaptive model rule learns.
- Page of class Embed-Decision-AdaptiveModel-Key － This page needs
to provide the adaptive model parameters. Adaptive model parameters are values that
point to the model in the channel ( pyChannel and
pyDirection ), action dimension ( pyIssue,
pyGroup, and pyName ), and class context (
pyConfigurationAppliesTo and
pyConfigurationName ).
-
Click Save.
The report definition rule gathers the sample data. Only properties that are optimized
for reporting when they have been created should be used in the report definition. The
following example corresponds to a report definition that gathers work data. If the data
is in an external data source, use the Connector and Metadata wizard to create the
required classes and rules.
| Column source |
Column name |
Sort type |
Sort order |
| .Outcome |
Outcome |
Highest to Lowest |
3 |
| .Age |
Age |
Highest to Lowest |
2 |
| .Credit History |
Credit History |
Highest to Lowest |
1 |