Class FeaturestoreMonitoringConfig (3.23.0)

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
TypeDescription
int

IMPORT_FEATURES_ANALYSIS_FIELD_NUMBER

public static final int IMPORT_FEATURES_ANALYSIS_FIELD_NUMBER
Field Value
TypeDescription
int

NUMERICAL_THRESHOLD_CONFIG_FIELD_NUMBER

public static final int NUMERICAL_THRESHOLD_CONFIG_FIELD_NUMBER
Field Value
TypeDescription
int

SNAPSHOT_ANALYSIS_FIELD_NUMBER

public static final int SNAPSHOT_ANALYSIS_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static FeaturestoreMonitoringConfig getDefaultInstance()
Returns
TypeDescription
FeaturestoreMonitoringConfig

getDescriptor()

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

newBuilder()

public static FeaturestoreMonitoringConfig.Builder newBuilder()
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

newBuilder(FeaturestoreMonitoringConfig prototype)

public static FeaturestoreMonitoringConfig.Builder newBuilder(FeaturestoreMonitoringConfig prototype)
Parameter
NameDescription
prototypeFeaturestoreMonitoringConfig
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

parseDelimitedFrom(InputStream input)

public static FeaturestoreMonitoringConfig parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static FeaturestoreMonitoringConfig parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static FeaturestoreMonitoringConfig parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static FeaturestoreMonitoringConfig parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static FeaturestoreMonitoringConfig parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static FeaturestoreMonitoringConfig parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static FeaturestoreMonitoringConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
FeaturestoreMonitoringConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<FeaturestoreMonitoringConfig> parser()
Returns
TypeDescription
Parser<FeaturestoreMonitoringConfig>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

getDefaultInstanceForType()

public FeaturestoreMonitoringConfig getDefaultInstanceForType()
Returns
TypeDescription
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
TypeDescription
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
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.

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

getParserForType()

public Parser<FeaturestoreMonitoringConfig> getParserForType()
Returns
TypeDescription
Parser<FeaturestoreMonitoringConfig>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
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
TypeDescription
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
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.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public FeaturestoreMonitoringConfig.Builder newBuilderForType()
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected FeaturestoreMonitoringConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public FeaturestoreMonitoringConfig.Builder toBuilder()
Returns
TypeDescription
FeaturestoreMonitoringConfig.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException