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Namespace ModelTrainingResults

Specifies the details for an Anomaly Detection model trained with MSET.

Properties

Optional algorithm

algorithm: Algorithm

Actual algorithm used to train the model

fap

fap: number

The final-achieved model accuracy metric on individual value level Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

Optional isTrainingGoalAchieved

isTrainingGoalAchieved: undefined | false | true

A boolean value to indicate if train goal/targetFap is achieved for trained model

Optional multivariateFap

multivariateFap: undefined | number

The model accuracy metric on timestamp level. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

Optional rowReductionDetails

rowReductionDetails: model.RowReductionDetails

Optional signalDetails

signalDetails: Array<PerSignalDetails>

The list of signal details.

Optional warning

warning: undefined | string

A warning message to explain the reason when targetFap cannot be achieved for trained model

Optional windowSize

windowSize: undefined | number

Window size defined during training or deduced by the algorithm. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

Functions

getDeserializedJsonObj

getJsonObj