AnomalyIndicatorSpecification : Public <<TMF_BusinessEntity>> Business Entity
Specifies the AnomalyIndicator and associated goals, characteristics, and constraints. The Specification also contains the normal days and normal day data source attributes to train the AI/ML models with the normal day data using which the AI/ML model can determine the anomalous behavior of the associated measurement.<br/>
- Attributes
- Associations To
- Associations From
- Tagged Values
- Advanced
- Other Links
| Attribute |
Scope |
Type |
|
category
|
Public
|
String
|
|
Notes:
|
Category of the AnomalyIndicator such as KPI, KQI, Counter etc.<br/>
|
|
|
derivationAlgorithm
|
Public
|
String
|
|
Notes:
|
A step-by-step procedure used to calculate the value of the AnomalyIndicator.<br/>
|
|
|
derivationMethod
|
Public
|
String
|
|
Notes:
|
he method used to calculate the value of a AnomalyIndicator, such as average, minimum, maximum, sum, and so forth<br/>
|
|
|
indicatorType
|
Public
|
IndicatorType
|
|
Notes:
|
A kind of value that the AnomalyIndicator can take on, such as numeric, text, and so forth.<br/>
|
|
|
normalDays
|
Public
|
TimePeriod
|
|
Notes:
|
Normal values of the AnomalyIndicator used for training the AI/Model<br/>
|
|
|
normalDaysDataSource
|
Public
|
String
|
|
Notes:
|
Data source URL where the normal values of the AnomalyIndicator used for training the AI/Model is stored<br/>
|
|
| Tag |
Value |
| IsCoreEntity |
False |
|
Details:
Values: true,false
Default: False
|
| Property |
Value |
| isFinalSpecialization: |
0 |
