[This topic is pre-release documentation and is subject to change.]
Prediction Model Status represents the status of the machine learning training model used for predictive analysis.
Property names appended with asterisks* are required.
|tenantId||string||Name of the owning hub (readonly)|
|predictionName||string||Name of the associated prediction (readonly)|
|predictionGuidId||string (GUID)||ID of the associated prediction (readonly)|
|status*||string||Current point in prediction model life cycle: [New | Provisioning | ProvisioningFailed | PendingDiscovering | Discovering | PendingFeaturing | Featuring | FeaturingFailed | PendingTraining | Training | TrainingFailed | Evaluating | EvaluatingFailed | PendingModelConfirmation | Active | Deleted | HumanIntervention | Failed]|
|message||string||Model status message (readonly)|
|trainingSetCount||integer||Count of the test set (readonly)|
|testSetCount||integer||Count of the test set (readonly)|
|validationSetCount||integer||Count of the validation set (readonly)|
|trainingAccuracy||integer||Training accuracy (readonly)|
|signalsUsed||integer||Signals used in the training (readonly)|
|modelVersion||string||Version of the model (readonly)|