SAP ABAP Data Element RSDMESC_PAR_REGRESSION_TYPE (Function Type)
Hierarchy
SAP_BW (Software Component) SAP Business Warehouse
   BW-EI-DM (Application Component) Data Mining
     RS_DME_SC (Package) Data Mining Engines: Scoring
Basic Data
Data Element RSDMESC_PAR_REGRESSION_TYPE
Short Description Function Type  
Data Type
Category of Dictionary Type D   Domain
Type of Object Referenced     No Information
Domain / Name of Reference Type RSDMESCREGRTP    
Data Type CHAR   Character String 
Length 1    
Decimal Places 0    
Output Length 1    
Value Table      
Further Characteristics
Search Help: Name    
Search Help: Parameters    
Parameter ID   
Default Component name    
Change document    
No Input History    
Basic direction is set to LTR    
No BIDI Filtering    
Field Label
  Length  Field Label  
Short 10 FunctnType 
Medium 15 Function Type 
Long 20 Function Type 
Heading 10 FunctnType 
Documentation

Definition

Use

You use this parameter to specify which procedure should be used by the scoring algorithm. The following procedures are supported:

  • Weighted Score Tables: You can assign a weighting to each model field. Furthermore, you can assign partial scores to each value (in the case of a discrete model field) or value range (in the case of a numeric model field). The score is calculated as the weighted total of the partial scores across all model fields.
  • Linear regression: The system uses training data records with known score values to determine a linear function that approximates the scores of the training data records.
  • Nonlinear regression: The system uses the training data records with known scores to determine a nonlinear function that approximates the scores of the training data records. The function is a multidimensional spline function of the first order.

Dependencies

Example

History
Last changed by/on SAP  20110908 
SAP Release Created in 21C