Class FeaturestoreMonitoringConfig.Builder (3.0.0)

Version 3.0.0

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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

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > FeaturestoreMonitoringConfig.Builder

Implements

FeaturestoreMonitoringConfigOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public FeaturestoreMonitoringConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public FeaturestoreMonitoringConfig build()

Returns

Type	Description
FeaturestoreMonitoringConfig

buildPartial()

public FeaturestoreMonitoringConfig buildPartial()

Returns

Type	Description
FeaturestoreMonitoringConfig

clear()

public FeaturestoreMonitoringConfig.Builder clear()

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

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

Type	Description
FeaturestoreMonitoringConfig.Builder

clearField(Descriptors.FieldDescriptor field)

public FeaturestoreMonitoringConfig.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearImportFeaturesAnalysis()

public FeaturestoreMonitoringConfig.Builder clearImportFeaturesAnalysis()

The config for ImportFeatures Analysis Based Feature Monitoring.

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

Returns

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;

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public FeaturestoreMonitoringConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearSnapshotAnalysis()

public FeaturestoreMonitoringConfig.Builder clearSnapshotAnalysis()

The config for Snapshot Analysis Based Feature Monitoring.

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

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

clone()

public FeaturestoreMonitoringConfig.Builder clone()

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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

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;

Returns

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;

Returns

Type	Description
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

getDefaultInstanceForType()

public FeaturestoreMonitoringConfig getDefaultInstanceForType()

Returns

Type	Description
FeaturestoreMonitoringConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getImportFeaturesAnalysis()

public 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.

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

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

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;

Returns

Type	Description
boolean	Whether the snapshotAnalysis field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

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

Name	Description
value	FeaturestoreMonitoringConfig.ThresholdConfig

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

mergeFrom(FeaturestoreMonitoringConfig other)

public FeaturestoreMonitoringConfig.Builder mergeFrom(FeaturestoreMonitoringConfig other)

Parameter

Name	Description
other	FeaturestoreMonitoringConfig

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public FeaturestoreMonitoringConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public FeaturestoreMonitoringConfig.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

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

Name	Description
value	FeaturestoreMonitoringConfig.ImportFeaturesAnalysis

Returns

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;

Parameter

Name	Description
value	FeaturestoreMonitoringConfig.ThresholdConfig

Returns

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;

Parameter

Name	Description
value	FeaturestoreMonitoringConfig.SnapshotAnalysis

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final FeaturestoreMonitoringConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

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

Name	Description
value	FeaturestoreMonitoringConfig.ThresholdConfig

Returns

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;

Parameter

Name	Description
builderForValue	FeaturestoreMonitoringConfig.ThresholdConfig.Builder

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public FeaturestoreMonitoringConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

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

Name	Description
value	FeaturestoreMonitoringConfig.ImportFeaturesAnalysis

Returns

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;

Parameter

Name	Description
builderForValue	FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder

Returns

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;

Parameter

Name	Description
value	FeaturestoreMonitoringConfig.ThresholdConfig

Returns

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;

Parameter

Name	Description
builderForValue	FeaturestoreMonitoringConfig.ThresholdConfig.Builder

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

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

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

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

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

Name	Description
value	FeaturestoreMonitoringConfig.SnapshotAnalysis

Returns

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;

Parameter

Name	Description
builderForValue	FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final FeaturestoreMonitoringConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
FeaturestoreMonitoringConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)