Class FeaturestoreMonitoringConfig (1.17.1)

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

Configuration of how features in Featurestore are monitored.

Attributes

NameDescription
snapshot_analysis google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.SnapshotAnalysis
The config for Snapshot Analysis Based Feature Monitoring.
import_features_analysis google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
The config for ImportFeatures Analysis Based Feature Monitoring.
numerical_threshold_config google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ThresholdConfig
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
categorical_threshold_config google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ThresholdConfig
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).

Inheritance

builtins.object > proto.message.Message > FeaturestoreMonitoringConfig

Classes

ImportFeaturesAnalysis

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

Configuration of the Featurestore's ImportFeature Analysis Based Monitoring. This type of analysis generates statistics for values of each Feature imported by every [ImportFeatureValues][] operation.

SnapshotAnalysis

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

Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval.

ThresholdConfig

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