Interface FeaturestoreMonitoringConfigOrBuilder (2.9.7)

Version 2.9.7

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public interface FeaturestoreMonitoringConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getCategoricalThresholdConfig()

public abstract 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) BOOL or STRING).

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

Returns

Type	Description
FeaturestoreMonitoringConfig.ThresholdConfig	The categoricalThresholdConfig.

getCategoricalThresholdConfigOrBuilder()

public abstract 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) BOOL or STRING).

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

Returns

Type	Description
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

getImportFeaturesAnalysis()

public abstract FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()

The config for ImportFeatures Analysis Based Feature Monitoring.

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

Returns

Type	Description
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis	The importFeaturesAnalysis.

getImportFeaturesAnalysisOrBuilder()

public abstract FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()

The config for ImportFeatures Analysis Based Feature Monitoring.

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

Returns

Type	Description
FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder

getNumericalThresholdConfig()

public abstract 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) DOUBLE or INT64).

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

Returns

Type	Description
FeaturestoreMonitoringConfig.ThresholdConfig	The numericalThresholdConfig.

getNumericalThresholdConfigOrBuilder()

public abstract 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) DOUBLE or INT64).

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

Returns

Type	Description
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

getSnapshotAnalysis()

public abstract FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()

The config for Snapshot Analysis Based Feature Monitoring.

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

Returns

Type	Description
FeaturestoreMonitoringConfig.SnapshotAnalysis	The snapshotAnalysis.

getSnapshotAnalysisOrBuilder()

public abstract FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()

The config for Snapshot Analysis Based Feature Monitoring.

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

Returns

Type	Description
FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder

hasCategoricalThresholdConfig()

public abstract 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) BOOL or STRING).

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

Returns

Type	Description
boolean	Whether the categoricalThresholdConfig field is set.

hasImportFeaturesAnalysis()

public abstract boolean hasImportFeaturesAnalysis()

The config for ImportFeatures Analysis Based Feature Monitoring.

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

Returns

Type	Description
boolean	Whether the importFeaturesAnalysis field is set.

hasNumericalThresholdConfig()

public abstract 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) DOUBLE or INT64).

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

Returns

Type	Description
boolean	Whether the numericalThresholdConfig field is set.

hasSnapshotAnalysis()

public abstract boolean hasSnapshotAnalysis()

The config for Snapshot Analysis Based Feature Monitoring.

.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

Returns

Type	Description
boolean	Whether the snapshotAnalysis field is set.