SAS Namespace Types |
Subclass of SecondaryType
Represents a variable whose values are known in one or more data sets that are available (in training data, for example) but whose values are unknown in one or more future data sets (in a score data set, for example). Data mining models use data from known variables to predict the values of target variables. Used by SAS Enterprise Miner.
The following list of associations is used to determine if this object should inherit access controls from another object (inheritance), or if the association is allowed for the object (enforcement). An association will not be created unless the calling user is authorized to update one or both objects involved in the association. For more information about inheritance and enforcement rules, see the SAS Intelligence Platform: Security Administration Guide.
Name | Description | Type | Length |
Event | The value of interest. | String | 32 |
Inherited Attributes
Name,
Id,
Desc,
MetadataCreated,
MetadataUpdated,
ChangeState,
LockedBy,
SecTransctxt,
UsageVersion
Name | Cardinality | Description | Associated Types |
FitStatistics Partner: OwningTarget | 0 to * | The fit statistics that are associated with this target. | FitStatistic |
Models Partner: Targets | 0 to * | The models that act upon this target. | MiningResult |
OwningAnalyticColumn Partner: TargetInformation | 1 to 1 | The column that has a role of target. | AnalyticColumn |
TextualInformationObjects Partner: Targets | 0 to * | Textual information about this target. There would be multiple text objects associated with a target. The roles would be Importance, Interaction, and Profile. | Text ArchiveEntry ArchiveFile Document File SASCatalogEntry TextStore |
Inherited Associations
AccessControls/Objects,
Changes/Objects,
CustomAssociations/OwningObject,
Documents/Objects,
Extensions/OwningObject,
ExternalIdentities/OwningObject,
Groups/Members,
Implementors/ImplementedObjects,
Keywords/Objects,
LocalizedAttributes/AssociatedLocalizedObject,
Notes/Objects,
PrimaryPropertyGroup/AssociatedObject,
Prompts/PromptEnabledObject,
Properties/AssociatedObject,
PropertySets/OwningObject,
ReferencedObjects/AssociatedObjects,
ResponsibleParties/Objects,
SourceTransformations/TransformationSources,
SpecSourceTransformations/SourceSpecifications,
SpecTargetTransformations/TargetSpecifications,
TargetTransformations/TransformationTargets,
Timestamps/Objects,
Trees/Members,
TSObjectNamespace/TSObjects,
UsedByPrototypes/UsingPrototype,
UsingPrototype/UsedByPrototypes,
Variables/AssociatedObject
Event
Type: String 32The value of interest. For example, if we want to use column PURCHASE as the binary target to create a predictive model and suppose that there are two values in the target: 0,1 which map to NO and YES using a format. One of the first questions that a min ing tool would ask during model training is what is, "What is the value that is to be modeled. i.e., Is it YES, or is it NO?" If YES is the event, then NO is the non-event, and vice versa.
FitStatistics
Cardinality: 0 to *
Partner: OwningTarget
The fit statistics that are associated with this target.
Associated Types:
FitStatisticModels
Cardinality: 0 to *
Partner: Targets
The models that act upon this target.
Associated Types:
MiningResultOwningAnalyticColumn
Cardinality: 1 to 1
Partner: TargetInformation
The column that has a role of target.
Associated Types:
AnalyticColumnTextualInformationObjects
Cardinality: 0 to *
Partner: Targets
Textual information about this target. There would be multiple text objects associated with a target. The roles would be Importance, Interaction, and Profile.
Associated Types:
Text, ArchiveEntry, ArchiveFile, Document, File, SASCatalogEntry, TextStore
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