com.google.cloud.aiplatform.v1

Interface FeaturestoreMonitoringConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

FeaturestoreMonitoringConfig, FeaturestoreMonitoringConfig.Builder

public interface FeaturestoreMonitoringConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
FeaturestoreMonitoringConfig.ThresholdConfig	getCategoricalThresholdConfig() Threshold for categorical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder	getCategoricalThresholdConfigOrBuilder() Threshold for categorical features of anomaly detection.
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis	getImportFeaturesAnalysis() The config for ImportFeatures Analysis Based Feature Monitoring.
FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder	getImportFeaturesAnalysisOrBuilder() The config for ImportFeatures Analysis Based Feature Monitoring.
FeaturestoreMonitoringConfig.ThresholdConfig	getNumericalThresholdConfig() Threshold for numerical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder	getNumericalThresholdConfigOrBuilder() Threshold for numerical features of anomaly detection.
FeaturestoreMonitoringConfig.SnapshotAnalysis	getSnapshotAnalysis() The config for Snapshot Analysis Based Feature Monitoring.
FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder	getSnapshotAnalysisOrBuilder() The config for Snapshot Analysis Based Feature Monitoring.
boolean	hasCategoricalThresholdConfig() Threshold for categorical features of anomaly detection.
boolean	hasImportFeaturesAnalysis() The config for ImportFeatures Analysis Based Feature Monitoring.
boolean	hasNumericalThresholdConfig() Threshold for numerical features of anomaly detection.
boolean	hasSnapshotAnalysis() The config for Snapshot Analysis Based Feature Monitoring.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasSnapshotAnalysis

boolean hasSnapshotAnalysis()

 The config for Snapshot Analysis Based Feature Monitoring.
 

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

Returns:

The snapshotAnalysis.

getSnapshotAnalysisOrBuilder

FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()

 The config for Snapshot Analysis Based Feature Monitoring.
 

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

hasImportFeaturesAnalysis

boolean hasImportFeaturesAnalysis()

 The config for ImportFeatures Analysis Based Feature Monitoring.
 

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

Returns:

The importFeaturesAnalysis.

getImportFeaturesAnalysisOrBuilder

FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()

 The config for ImportFeatures Analysis Based Feature Monitoring.
 

.google.cloud.aiplatform.v1.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.v1.Feature.ValueType]) DOUBLE
 or INT64).
 

.google.cloud.aiplatform.v1.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.v1.Feature.ValueType]) DOUBLE
 or INT64).
 

.google.cloud.aiplatform.v1.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.v1.Feature.ValueType]) DOUBLE
 or INT64).
 

.google.cloud.aiplatform.v1.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.v1.Feature.ValueType]) BOOL or
 STRING).
 

.google.cloud.aiplatform.v1.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.v1.Feature.ValueType]) BOOL or
 STRING).
 

.google.cloud.aiplatform.v1.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.v1.Feature.ValueType]) BOOL or
 STRING).
 

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