Class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig (3.31.0)

public static final class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig extends GeneratedMessageV3 implements ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder

The config for Prediction data drift detection.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Static Fields

ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER

public static final int ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER
Field Value
TypeDescription
int

DEFAULT_DRIFT_THRESHOLD_FIELD_NUMBER

public static final int DEFAULT_DRIFT_THRESHOLD_FIELD_NUMBER
Field Value
TypeDescription
int

DRIFT_THRESHOLDS_FIELD_NUMBER

public static final int DRIFT_THRESHOLDS_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstance()
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

getDescriptor()

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

newBuilder()

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder()
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

newBuilder(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prototype)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prototype)
Parameter
NameDescription
prototypeModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(byte[] data)

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

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

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

parseFrom(ByteString data)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

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

parseFrom(CodedInputStream input)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(ByteBuffer data)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

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

parser()

public static Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> parser()
Returns
TypeDescription
Parser<PredictionDriftDetectionConfig>

Methods

containsAttributionScoreDriftThresholds(String key)

public boolean containsAttributionScoreDriftThresholds(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

containsDriftThresholds(String key)

public boolean containsDriftThresholds(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getAttributionScoreDriftThresholds()

public Map<String,ThresholdConfig> getAttributionScoreDriftThresholds()
Returns
TypeDescription
Map<String,ThresholdConfig>

getAttributionScoreDriftThresholdsCount()

public int getAttributionScoreDriftThresholdsCount()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns
TypeDescription
int

getAttributionScoreDriftThresholdsMap()

public Map<String,ThresholdConfig> getAttributionScoreDriftThresholdsMap()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns
TypeDescription
Map<String,ThresholdConfig>

getAttributionScoreDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public ThresholdConfig getAttributionScoreDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameters
NameDescription
keyString
defaultValueThresholdConfig
Returns
TypeDescription
ThresholdConfig

getAttributionScoreDriftThresholdsOrThrow(String key)

public ThresholdConfig getAttributionScoreDriftThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
ThresholdConfig

getDefaultDriftThreshold()

public ThresholdConfig getDefaultDriftThreshold()

Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

.google.cloud.aiplatform.v1beta1.ThresholdConfig default_drift_threshold = 5;

Returns
TypeDescription
ThresholdConfig

The defaultDriftThreshold.

getDefaultDriftThresholdOrBuilder()

public ThresholdConfigOrBuilder getDefaultDriftThresholdOrBuilder()

Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

.google.cloud.aiplatform.v1beta1.ThresholdConfig default_drift_threshold = 5;

Returns
TypeDescription
ThresholdConfigOrBuilder

getDefaultInstanceForType()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstanceForType()
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

getDriftThresholds()

public Map<String,ThresholdConfig> getDriftThresholds()
Returns
TypeDescription
Map<String,ThresholdConfig>

getDriftThresholdsCount()

public int getDriftThresholdsCount()

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;

Returns
TypeDescription
int

getDriftThresholdsMap()

public Map<String,ThresholdConfig> getDriftThresholdsMap()

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;

Returns
TypeDescription
Map<String,ThresholdConfig>

getDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public ThresholdConfig getDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;

Parameters
NameDescription
keyString
defaultValueThresholdConfig
Returns
TypeDescription
ThresholdConfig

getDriftThresholdsOrThrow(String key)

public ThresholdConfig getDriftThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;

Parameter
NameDescription
keyString
Returns
TypeDescription
ThresholdConfig

getParserForType()

public Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> getParserForType()
Returns
TypeDescription
Parser<PredictionDriftDetectionConfig>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

hasDefaultDriftThreshold()

public boolean hasDefaultDriftThreshold()

Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

.google.cloud.aiplatform.v1beta1.ThresholdConfig default_drift_threshold = 5;

Returns
TypeDescription
boolean

Whether the defaultDriftThreshold field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilderForType()
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

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

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

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

toBuilder()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder toBuilder()
Returns
TypeDescription
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

writeTo(CodedOutputStream output)

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