Class FeaturestoreMonitoringConfig.Builder (3.0.0)

public static final class FeaturestoreMonitoringConfig.Builder extends GeneratedMessageV3.Builder<FeaturestoreMonitoringConfig.Builder> implements FeaturestoreMonitoringConfigOrBuilder

Configuration of how features in Featurestore are monitored.

Protobuf type google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public FeaturestoreMonitoringConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

build()

public FeaturestoreMonitoringConfig build()
Returns
TypeDescription
FeaturestoreMonitoringConfig

buildPartial()

public FeaturestoreMonitoringConfig buildPartial()
Returns
TypeDescription
FeaturestoreMonitoringConfig

clear()

public FeaturestoreMonitoringConfig.Builder clear()
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

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;

Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

clearField(Descriptors.FieldDescriptor field)

public FeaturestoreMonitoringConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

clearImportFeaturesAnalysis()

public FeaturestoreMonitoringConfig.Builder clearImportFeaturesAnalysis()

The config for ImportFeatures Analysis Based Feature Monitoring.

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

Returns
TypeDescription
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;

Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public FeaturestoreMonitoringConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

clearSnapshotAnalysis()

public FeaturestoreMonitoringConfig.Builder clearSnapshotAnalysis()

The config for Snapshot Analysis Based Feature Monitoring.

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

Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

clone()

public FeaturestoreMonitoringConfig.Builder clone()
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

getDefaultInstanceForType()

public FeaturestoreMonitoringConfig getDefaultInstanceForType()
Returns
TypeDescription
FeaturestoreMonitoringConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getImportFeaturesAnalysis()

public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()

The config for ImportFeatures Analysis Based Feature Monitoring.

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

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

getSnapshotAnalysis()

public FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()

The config for Snapshot Analysis Based Feature Monitoring.

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

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
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;

Returns
TypeDescription
boolean

Whether the snapshotAnalysis field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.ThresholdConfig
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

mergeFrom(FeaturestoreMonitoringConfig other)

public FeaturestoreMonitoringConfig.Builder mergeFrom(FeaturestoreMonitoringConfig other)
Parameter
NameDescription
otherFeaturestoreMonitoringConfig
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public FeaturestoreMonitoringConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public FeaturestoreMonitoringConfig.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.ImportFeaturesAnalysis
Returns
TypeDescription
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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.ThresholdConfig
Returns
TypeDescription
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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.SnapshotAnalysis
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final FeaturestoreMonitoringConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.ThresholdConfig
Returns
TypeDescription
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;

Parameter
NameDescription
builderForValueFeaturestoreMonitoringConfig.ThresholdConfig.Builder
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public FeaturestoreMonitoringConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.ImportFeaturesAnalysis
Returns
TypeDescription
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;

Parameter
NameDescription
builderForValueFeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder
Returns
TypeDescription
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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.ThresholdConfig
Returns
TypeDescription
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;

Parameter
NameDescription
builderForValueFeaturestoreMonitoringConfig.ThresholdConfig.Builder
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public FeaturestoreMonitoringConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

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;

Parameter
NameDescription
valueFeaturestoreMonitoringConfig.SnapshotAnalysis
Returns
TypeDescription
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;

Parameter
NameDescription
builderForValueFeaturestoreMonitoringConfig.SnapshotAnalysis.Builder
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final FeaturestoreMonitoringConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides