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Namespace ModelTrainingDetails

Specifies the details of the MSET model during the create call.

Enumerations

Properties

Functions

Properties

Optional algorithmHint

algorithmHint: AlgorithmHint

User can choose specific algorithm for training.

dataAssetIds

dataAssetIds: Array<string>

The list of OCIDs of the data assets to train the model. The dataAssets have to be in the same project where the ai model would reside.

Optional targetFap

targetFap: undefined | number

A target model accuracy metric user provides as their requirement Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

Optional trainingFraction

trainingFraction: undefined | number

Fraction of total data that is used for training the model. The remaining is used for validation of the model. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

Optional windowSize

windowSize: undefined | number

This value would determine the window size of the training algorithm. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

Functions

getDeserializedJsonObj

getJsonObj