Module google_api_proto::google::cloud::aiplatform::v1beta1::model_monitoring_objective_spec
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Nested message and enum types in ModelMonitoringObjectiveSpec
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Structs§
- Data drift monitoring spec. Data drift measures the distribution distance between the current dataset and a baseline dataset. A typical use case is to detect data drift between the recent production serving dataset and the training dataset, or to compare the recent production dataset with a dataset from a previous period.
- Feature attribution monitoring spec.
- Tabular monitoring objective.
Enums§
- The monitoring objective.