SAP ABAP Data Element RSDMESC_PAR_REGRESSION_TYPE (Function Type)
Hierarchy
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SAP_BW (Software Component) SAP Business Warehouse
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BW-EI-DM (Application Component) Data Mining
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RS_DME_SC (Package) Data Mining Engines: Scoring

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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 |