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public static final class FeaturestoreMonitoringConfig.Builder extends GeneratedMessageV3.Builder<FeaturestoreMonitoringConfig.Builder> implements FeaturestoreMonitoringConfigOrBuilderConfiguration of how features in Featurestore are monitored.
Protobuf type google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > FeaturestoreMonitoringConfig.BuilderImplements
FeaturestoreMonitoringConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Type | Description |
| Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public FeaturestoreMonitoringConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
build()
public FeaturestoreMonitoringConfig build()| Type | Description |
| FeaturestoreMonitoringConfig |
buildPartial()
public FeaturestoreMonitoringConfig buildPartial()| Type | Description |
| FeaturestoreMonitoringConfig |
clear()
public FeaturestoreMonitoringConfig.Builder clear()| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clearCategoricalThresholdConfig()
public FeaturestoreMonitoringConfig.Builder clearCategoricalThresholdConfig()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;
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public FeaturestoreMonitoringConfig.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clearImportFeaturesAnalysis()
public FeaturestoreMonitoringConfig.Builder clearImportFeaturesAnalysis()The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clearNumericalThresholdConfig()
public FeaturestoreMonitoringConfig.Builder clearNumericalThresholdConfig()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;
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public FeaturestoreMonitoringConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clearSnapshotAnalysis()
public FeaturestoreMonitoringConfig.Builder clearSnapshotAnalysis()The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
clone()
public FeaturestoreMonitoringConfig.Builder clone()| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
getCategoricalThresholdConfig()
public 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;
| Type | Description |
| FeaturestoreMonitoringConfig.ThresholdConfig | The categoricalThresholdConfig. |
getCategoricalThresholdConfigBuilder()
public FeaturestoreMonitoringConfig.ThresholdConfig.Builder getCategoricalThresholdConfigBuilder()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;
| Type | Description |
| FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
getCategoricalThresholdConfigOrBuilder()
public 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;
| Type | Description |
| FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder |
getDefaultInstanceForType()
public FeaturestoreMonitoringConfig getDefaultInstanceForType()| Type | Description |
| FeaturestoreMonitoringConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
| Descriptor |
getImportFeaturesAnalysis()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Type | Description |
| FeaturestoreMonitoringConfig.ImportFeaturesAnalysis | The importFeaturesAnalysis. |
getImportFeaturesAnalysisBuilder()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder getImportFeaturesAnalysisBuilder()The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Type | Description |
| FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder |
getImportFeaturesAnalysisOrBuilder()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Type | Description |
| FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder |
getNumericalThresholdConfig()
public 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;
| Type | Description |
| FeaturestoreMonitoringConfig.ThresholdConfig | The numericalThresholdConfig. |
getNumericalThresholdConfigBuilder()
public FeaturestoreMonitoringConfig.ThresholdConfig.Builder getNumericalThresholdConfigBuilder()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;
| Type | Description |
| FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
getNumericalThresholdConfigOrBuilder()
public 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;
| Type | Description |
| FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder |
getSnapshotAnalysis()
public FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Type | Description |
| FeaturestoreMonitoringConfig.SnapshotAnalysis | The snapshotAnalysis. |
getSnapshotAnalysisBuilder()
public FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder getSnapshotAnalysisBuilder()The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Type | Description |
| FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder |
getSnapshotAnalysisOrBuilder()
public FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Type | Description |
| FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder |
hasCategoricalThresholdConfig()
public 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;
| Type | Description |
| boolean | Whether the categoricalThresholdConfig field is set. |
hasImportFeaturesAnalysis()
public boolean hasImportFeaturesAnalysis()The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Type | Description |
| boolean | Whether the importFeaturesAnalysis field is set. |
hasNumericalThresholdConfig()
public 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;
| Type | Description |
| boolean | Whether the numericalThresholdConfig field is set. |
hasSnapshotAnalysis()
public boolean hasSnapshotAnalysis()The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Type | Description |
| boolean | Whether the snapshotAnalysis field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
| boolean |
mergeCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder mergeCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)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;
| Name | Description |
| value | FeaturestoreMonitoringConfig.ThresholdConfig |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
mergeFrom(FeaturestoreMonitoringConfig other)
public FeaturestoreMonitoringConfig.Builder mergeFrom(FeaturestoreMonitoringConfig other)| Name | Description |
| other | FeaturestoreMonitoringConfig |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public FeaturestoreMonitoringConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public FeaturestoreMonitoringConfig.Builder mergeFrom(Message other)| Name | Description |
| other | Message |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
mergeImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
public FeaturestoreMonitoringConfig.Builder mergeImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Name | Description |
| value | FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
mergeNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder mergeNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)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;
| Name | Description |
| value | FeaturestoreMonitoringConfig.ThresholdConfig |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
mergeSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
public FeaturestoreMonitoringConfig.Builder mergeSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Name | Description |
| value | FeaturestoreMonitoringConfig.SnapshotAnalysis |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final FeaturestoreMonitoringConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)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;
| Name | Description |
| value | FeaturestoreMonitoringConfig.ThresholdConfig |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)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;
| Name | Description |
| builderForValue | FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public FeaturestoreMonitoringConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
public FeaturestoreMonitoringConfig.Builder setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Name | Description |
| value | FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder builderForValue)The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
| Name | Description |
| builderForValue | FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)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;
| Name | Description |
| value | FeaturestoreMonitoringConfig.ThresholdConfig |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)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;
| Name | Description |
| builderForValue | FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public FeaturestoreMonitoringConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
public FeaturestoreMonitoringConfig.Builder setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Name | Description |
| value | FeaturestoreMonitoringConfig.SnapshotAnalysis |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder builderForValue)The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
| Name | Description |
| builderForValue | FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final FeaturestoreMonitoringConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| FeaturestoreMonitoringConfig.Builder |