Class ModelMonitoringObjectiveSpec.DataDriftSpec.Builder (3.46.0)

Version 3.46.0

• 3.56.0 (latest)
• 3.55.0
• 3.54.0
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public static final class ModelMonitoringObjectiveSpec.DataDriftSpec.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveSpec.DataDriftSpec.Builder> implements ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder

Data drift monitoring spec. Data drift measures the distribution distance between the current dataset and a baseline dataset. A typical use case is to detect data drift between the recent production serving dataset and the training dataset, or to compare the recent production dataset with a dataset from a previous period.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Implements

ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder

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)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

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

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

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

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

addAllFeatures(Iterable<String> values)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addAllFeatures(Iterable<String> values)

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Parameter
Name	Description
values	Iterable<String> The features to add.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

addFeatures(String value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addFeatures(String value)

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Parameter
Name	Description
value	String The features to add.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

addFeaturesBytes(ByteString value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addFeaturesBytes(ByteString value)

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Parameter
Name	Description
value	ByteString The bytes of the features to add.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

build()

public ModelMonitoringObjectiveSpec.DataDriftSpec build()

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec

buildPartial()

public ModelMonitoringObjectiveSpec.DataDriftSpec buildPartial()

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec

clear()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clear()

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCategoricalMetricType()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearCategoricalMetricType()

Supported metrics type:

• l_infinity
• jensen_shannon_divergence

string categorical_metric_type = 2;

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

clearDefaultCategoricalAlertCondition()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearDefaultCategoricalAlertCondition()

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

clearDefaultNumericAlertCondition()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearDefaultNumericAlertCondition()

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

clearFeatureAlertConditions()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearFeatureAlertConditions()

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

clearFeatures()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearFeatures()

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

clearNumericMetricType()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearNumericMetricType()

Supported metrics type:

• jensen_shannon_divergence

string numeric_metric_type = 3;

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

clone()

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clone()

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsFeatureAlertConditions(String key)

public boolean containsFeatureAlertConditions(String key)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameter
Name	Description
key	String

Returns
Type	Description
boolean

getCategoricalMetricType()

public String getCategoricalMetricType()

Supported metrics type:

• l_infinity
• jensen_shannon_divergence

string categorical_metric_type = 2;

Returns
Type	Description
String	The categoricalMetricType.

getCategoricalMetricTypeBytes()

public ByteString getCategoricalMetricTypeBytes()

Supported metrics type:

• l_infinity
• jensen_shannon_divergence

string categorical_metric_type = 2;

Returns
Type	Description
ByteString	The bytes for categoricalMetricType.

getDefaultCategoricalAlertCondition()

public ModelMonitoringAlertCondition getDefaultCategoricalAlertCondition()

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Returns
Type	Description
ModelMonitoringAlertCondition	The defaultCategoricalAlertCondition.

getDefaultCategoricalAlertConditionBuilder()

public ModelMonitoringAlertCondition.Builder getDefaultCategoricalAlertConditionBuilder()

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Returns
Type	Description
ModelMonitoringAlertCondition.Builder

getDefaultCategoricalAlertConditionOrBuilder()

public ModelMonitoringAlertConditionOrBuilder getDefaultCategoricalAlertConditionOrBuilder()

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Returns
Type	Description
ModelMonitoringAlertConditionOrBuilder

getDefaultInstanceForType()

public ModelMonitoringObjectiveSpec.DataDriftSpec getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec

getDefaultNumericAlertCondition()

public ModelMonitoringAlertCondition getDefaultNumericAlertCondition()

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Returns
Type	Description
ModelMonitoringAlertCondition	The defaultNumericAlertCondition.

getDefaultNumericAlertConditionBuilder()

public ModelMonitoringAlertCondition.Builder getDefaultNumericAlertConditionBuilder()

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Returns
Type	Description
ModelMonitoringAlertCondition.Builder

getDefaultNumericAlertConditionOrBuilder()

public ModelMonitoringAlertConditionOrBuilder getDefaultNumericAlertConditionOrBuilder()

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Returns
Type	Description
ModelMonitoringAlertConditionOrBuilder

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getFeatureAlertConditions() (deprecated)

public Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditions()

Use #getFeatureAlertConditionsMap() instead.

Returns
Type	Description
Map<String,ModelMonitoringAlertCondition>

getFeatureAlertConditionsCount()

public int getFeatureAlertConditionsCount()

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Returns
Type	Description
int

getFeatureAlertConditionsMap()

public Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditionsMap()

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Returns
Type	Description
Map<String,ModelMonitoringAlertCondition>

getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue)

public ModelMonitoringAlertCondition getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameters
Name	Description
key	String
defaultValue	ModelMonitoringAlertCondition

Returns
Type	Description
ModelMonitoringAlertCondition

getFeatureAlertConditionsOrThrow(String key)

public ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameter
Name	Description
key	String

Returns
Type	Description
ModelMonitoringAlertCondition

getFeatures(int index)

public String getFeatures(int index)

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
String	The features at the given index.

getFeaturesBytes(int index)

public ByteString getFeaturesBytes(int index)

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Parameter
Name	Description
index	int The index of the value to return.

Returns
Type	Description
ByteString	The bytes of the features at the given index.

getFeaturesCount()

public int getFeaturesCount()

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Returns
Type	Description
int	The count of features.

getFeaturesList()

public ProtocolStringList getFeaturesList()

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Returns
Type	Description
ProtocolStringList	A list containing the features.

getMutableFeatureAlertConditions() (deprecated)

public Map<String,ModelMonitoringAlertCondition> getMutableFeatureAlertConditions()

Use alternate mutation accessors instead.

Returns
Type	Description
Map<String,ModelMonitoringAlertCondition>

getNumericMetricType()

public String getNumericMetricType()

Supported metrics type:

• jensen_shannon_divergence

string numeric_metric_type = 3;

Returns
Type	Description
String	The numericMetricType.

getNumericMetricTypeBytes()

public ByteString getNumericMetricTypeBytes()

Supported metrics type:

• jensen_shannon_divergence

string numeric_metric_type = 3;

Returns
Type	Description
ByteString	The bytes for numericMetricType.

hasDefaultCategoricalAlertCondition()

public boolean hasDefaultCategoricalAlertCondition()

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Returns
Type	Description
boolean	Whether the defaultCategoricalAlertCondition field is set.

hasDefaultNumericAlertCondition()

public boolean hasDefaultNumericAlertCondition()

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Returns
Type	Description
boolean	Whether the defaultNumericAlertCondition field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
com.google.protobuf.MapFieldReflectionAccessor

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
com.google.protobuf.MapFieldReflectionAccessor

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Parameter
Name	Description
value	ModelMonitoringAlertCondition

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

mergeDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Parameter
Name	Description
value	ModelMonitoringAlertCondition

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

mergeFrom(ModelMonitoringObjectiveSpec.DataDriftSpec other)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeFrom(ModelMonitoringObjectiveSpec.DataDriftSpec other)

Parameter
Name	Description
other	ModelMonitoringObjectiveSpec.DataDriftSpec

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

putAllFeatureAlertConditions(Map<String,ModelMonitoringAlertCondition> values)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder putAllFeatureAlertConditions(Map<String,ModelMonitoringAlertCondition> values)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameter
Name	Description
values	Map<String,ModelMonitoringAlertCondition>

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameters
Name	Description
key	String
value	ModelMonitoringAlertCondition

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

putFeatureAlertConditionsBuilderIfAbsent(String key)

public ModelMonitoringAlertCondition.Builder putFeatureAlertConditionsBuilderIfAbsent(String key)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameter
Name	Description
key	String

Returns
Type	Description
ModelMonitoringAlertCondition.Builder

removeFeatureAlertConditions(String key)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder removeFeatureAlertConditions(String key)

Per feature alert condition will override default alert condition.

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

Parameter
Name	Description
key	String

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

setCategoricalMetricType(String value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setCategoricalMetricType(String value)

Supported metrics type:

• l_infinity
• jensen_shannon_divergence

string categorical_metric_type = 2;

Parameter
Name	Description
value	String The categoricalMetricType to set.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

setCategoricalMetricTypeBytes(ByteString value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setCategoricalMetricTypeBytes(ByteString value)

Supported metrics type:

• l_infinity
• jensen_shannon_divergence

string categorical_metric_type = 2;

Parameter
Name	Description
value	ByteString The bytes for categoricalMetricType to set.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Parameter
Name	Description
value	ModelMonitoringAlertCondition

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)

Default alert condition for all the categorical features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

Parameter
Name	Description
builderForValue	ModelMonitoringAlertCondition.Builder

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

setDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Parameter
Name	Description
value	ModelMonitoringAlertCondition

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

setDefaultNumericAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultNumericAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)

Default alert condition for all the numeric features.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

Parameter
Name	Description
builderForValue	ModelMonitoringAlertCondition.Builder

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

setFeatures(int index, String value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setFeatures(int index, String value)

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

repeated string features = 1;

Parameters
Name	Description
index	int The index to set the value at.
value	String The features to set.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

setNumericMetricType(String value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setNumericMetricType(String value)

Supported metrics type:

• jensen_shannon_divergence

string numeric_metric_type = 3;

Parameter
Name	Description
value	String The numericMetricType to set.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

setNumericMetricTypeBytes(ByteString value)

public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setNumericMetricTypeBytes(ByteString value)

Supported metrics type:

• jensen_shannon_divergence

string numeric_metric_type = 3;

Parameter
Name	Description
value	ByteString The bytes for numericMetricType to set.

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder

Overrides

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