Class ModelMonitoringObjectiveConfig (1.6.2)

Version 1.6.2

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ModelMonitoringObjectiveConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Next ID: 6

Attributes

Name	Description
training_dataset	google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingDataset Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
training_prediction_skew_detection_config	google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig The config for skew between training data and prediction data.
prediction_drift_detection_config	google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig The config for drift of prediction data.
explanation_config	google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig The config for integrated with Explainable AI.

Inheritance

builtins.object > proto.message.Message > ModelMonitoringObjectiveConfig

Classes

ExplanationConfig

ExplanationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for integrated with Explainable AI. Only applicable if the Model has explanation_spec populated.

PredictionDriftDetectionConfig

PredictionDriftDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Prediction data drift detection.

TrainingDataset

TrainingDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training Dataset information.

TrainingPredictionSkewDetectionConfig

TrainingPredictionSkewDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.