Supported model Features for output mappings
Details on the feature output mappings.
Model 'Features' are pieces of information you can fetch from the scored record, that describe different aspects of the scoring result. Features are described in detail in the PMML specification. See Result features in this page for reference.
The meaning of the columns in the table below are:
- Feature the name of the feature as you would use it in the output mapping specification.
- SPL types the allowed SPL types for the Streams output attribute defined in the mapping for this feature. If list and primitive types are allowed, usually the primitive type will get the first element of the resulting list.
- Comment additional info if applicable
Feature
SPL types
Comment
PredictedValue
rstring
Probability
map<rstring,float64>
Confidence
list<float64> or float64
StandardError
float64
ClusterAffinity
list<float64> or float64
EntityAffinity
list<float64> or float64
EntityId
list<rstring> or rstring
ClusterId
list<rstring> or rstring
Affinity
list<rstring> or rstring
ReasonCode
rstring
Extended
map<rstring,float64>
SPSS proprietary
RecordId
list<rstring> or rstring
SPSS proprietary