About the Sample Workflow
The sample workflow codegen_workflow, demonstrates data modelling and data scoring.
The sample workflow in this use case codegen_workflow, comprises two distinct processes contained within a single lineage: Modeling (top) and Scoring (bottom) as shown in Figure 7-1. Both the processes use the demo data INSUR_CUST_LTV_SAMPLE as the input data source.
Figure 7-1 The Sample Workflow - codegen_workflow
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Modelling: The modeling process builds a Classification Support Vector Machine (SVM) model. It predicts whether the customer will buy insurance or not. The model coefficients are persisted to a database table for viewing. This table may provide a basis for application integration.
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Scoring: The scoring process makes predictions for the customer data using the Support Vector Machine (SVM) model created by the modeling lineage. The prediction result is persisted to a database view for viewing. The view provides the following:
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Predictions of the current input data. For example, if the input table is refreshed with new data, this view will automatically capture the predictions of the new data.
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Basis for application integration.
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