Package com.google.cloud.aiplatform.v1beta1

Interface FeaturestoreMonitoringConfigOrBuilder

    • Method Detail

      • hasSnapshotAnalysis

        boolean hasSnapshotAnalysis()
         The config for Snapshot Analysis Based Feature Monitoring.
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
        Returns:
        Whether the snapshotAnalysis field is set.

      • getSnapshotAnalysis

        FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()
         The config for Snapshot Analysis Based Feature Monitoring.
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
        Returns:
        The snapshotAnalysis.

      • getSnapshotAnalysisOrBuilder

        FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()
         The config for Snapshot Analysis Based Feature Monitoring.
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

      • hasImportFeaturesAnalysis

        boolean hasImportFeaturesAnalysis()
         The config for ImportFeatures Analysis Based Feature Monitoring.
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
        Returns:
        Whether the importFeaturesAnalysis field is set.

      • getImportFeaturesAnalysis

        FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()
         The config for ImportFeatures Analysis Based Feature Monitoring.
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
        Returns:
        The importFeaturesAnalysis.

      • getImportFeaturesAnalysisOrBuilder

        FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()
         The config for ImportFeatures Analysis Based Feature Monitoring.
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

      • hasNumericalThresholdConfig

        boolean hasNumericalThresholdConfig()
         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][google.cloud.aiplatform.v1beta1.Feature.ValueType])
 DOUBLE or INT64).
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
        Returns:
        Whether the numericalThresholdConfig field is set.

      • getNumericalThresholdConfig

        FeaturestoreMonitoringConfig.ThresholdConfig getNumericalThresholdConfig()
         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][google.cloud.aiplatform.v1beta1.Feature.ValueType])
 DOUBLE or INT64).
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
        Returns:
        The numericalThresholdConfig.

      • getNumericalThresholdConfigOrBuilder

        FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getNumericalThresholdConfigOrBuilder()
         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][google.cloud.aiplatform.v1beta1.Feature.ValueType])
 DOUBLE or INT64).
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

      • hasCategoricalThresholdConfig

        boolean hasCategoricalThresholdConfig()
         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][google.cloud.aiplatform.v1beta1.Feature.ValueType])
 BOOL or STRING).
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
        Returns:
        Whether the categoricalThresholdConfig field is set.

      • getCategoricalThresholdConfig

        FeaturestoreMonitoringConfig.ThresholdConfig getCategoricalThresholdConfig()
         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][google.cloud.aiplatform.v1beta1.Feature.ValueType])
 BOOL or STRING).
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
        Returns:
        The categoricalThresholdConfig.

      • getCategoricalThresholdConfigOrBuilder

        FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getCategoricalThresholdConfigOrBuilder()
         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][google.cloud.aiplatform.v1beta1.Feature.ValueType])
 BOOL or STRING).
        .google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;