- step 1:
- create MiningFunctionSettings -->> ScoringCardSettings ('ScoringCardSettings')
-
we define that we are going to prepare a scoring card
-
step 1a:
- add logicalData
- we choose 'german_credit_pd' for PhysicalData of the data for model building
-
step 1b:
- add the regression model
- we choose the regression model we want to convert into the scoring card: 'MODEL'
-
step 1c:
- attributeUsageSet: set the target attribute
- we choose the 'Class' attribute as the target
-
step 1a:
- step 2:
- create MiningBuildTask ('ScoringCardBuildTask')
- we define the action we are going to do: model (card) building
- step 3:
- execute the 'ScoringCardBuildTask' task
If all required objects were set up correctly, then after executing 'ScoringCardBuildTask' a new scoring card should appear in the MR repository. The user can browse the card details by double-clicking the model icon (see the movie). The Figure below show the content of the MR repository and models created after carrying out the steps described above.
