Class FeaturestoreMonitoringConfig (3.48.0)

public final class FeaturestoreMonitoringConfig extends GeneratedMessageV3 implements FeaturestoreMonitoringConfigOrBuilder

Configuration of how features in Featurestore are monitored.

Protobuf type google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig

Static Fields

CATEGORICAL_THRESHOLD_CONFIG_FIELD_NUMBER

public static final int CATEGORICAL_THRESHOLD_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

IMPORT_FEATURES_ANALYSIS_FIELD_NUMBER

public static final int IMPORT_FEATURES_ANALYSIS_FIELD_NUMBER
Field Value
Type Description
int

NUMERICAL_THRESHOLD_CONFIG_FIELD_NUMBER

public static final int NUMERICAL_THRESHOLD_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

SNAPSHOT_ANALYSIS_FIELD_NUMBER

public static final int SNAPSHOT_ANALYSIS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static FeaturestoreMonitoringConfig getDefaultInstance()
Returns
Type Description
FeaturestoreMonitoringConfig

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static FeaturestoreMonitoringConfig.Builder newBuilder()
Returns
Type Description
FeaturestoreMonitoringConfig.Builder

newBuilder(FeaturestoreMonitoringConfig prototype)

public static FeaturestoreMonitoringConfig.Builder newBuilder(FeaturestoreMonitoringConfig prototype)
Parameter
Name Description
prototype FeaturestoreMonitoringConfig
Returns
Type Description
FeaturestoreMonitoringConfig.Builder

parseDelimitedFrom(InputStream input)

public static FeaturestoreMonitoringConfig parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static FeaturestoreMonitoringConfig parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static FeaturestoreMonitoringConfig parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static FeaturestoreMonitoringConfig parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static FeaturestoreMonitoringConfig parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static FeaturestoreMonitoringConfig parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeaturestoreMonitoringConfig
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<FeaturestoreMonitoringConfig> parser()
Returns
Type Description
Parser<FeaturestoreMonitoringConfig>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
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
Type Description
FeaturestoreMonitoringConfig.ThresholdConfig

The categoricalThresholdConfig.

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

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.

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.

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

getParserForType()

public Parser<FeaturestoreMonitoringConfig> getParserForType()
Returns
Type Description
Parser<FeaturestoreMonitoringConfig>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

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.

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.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public FeaturestoreMonitoringConfig.Builder newBuilderForType()
Returns
Type Description
FeaturestoreMonitoringConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected FeaturestoreMonitoringConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
FeaturestoreMonitoringConfig.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public FeaturestoreMonitoringConfig.Builder toBuilder()
Returns
Type Description
FeaturestoreMonitoringConfig.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException