com.google.cloud.aiplatform.v1beta1

Class ModelMonitor.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

com.google.cloud.aiplatform.v1beta1.ModelMonitor.Builder

All Implemented Interfaces:

ModelMonitorOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ModelMonitor

public static final class ModelMonitor.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>
implements ModelMonitorOrBuilder

 Vertex AI Model Monitoring Service serves as a central hub for the analysis
 and visualization of data quality and performance related to models.
 ModelMonitor stands as a top level resource for overseeing your model
 monitoring tasks.
 

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitor

Method Summary

Modifier and Type	Method and Description
ModelMonitor.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ModelMonitor	build()
ModelMonitor	buildPartial()
ModelMonitor.Builder	clear()
ModelMonitor.Builder	clearCreateTime() Output only.
ModelMonitor.Builder	clearDefaultObjective()
ModelMonitor.Builder	clearDisplayName() The display name of the ModelMonitor.
ModelMonitor.Builder	clearExplanationSpec() Optional model explanation spec.
ModelMonitor.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ModelMonitor.Builder	clearModelMonitoringSchema() Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitor.Builder	clearModelMonitoringTarget() The entity that is subject to analysis.
ModelMonitor.Builder	clearName() Immutable.
ModelMonitor.Builder	clearNotificationSpec() Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitor.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ModelMonitor.Builder	clearOutputSpec() Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
ModelMonitor.Builder	clearSatisfiesPzi() Output only.
ModelMonitor.Builder	clearSatisfiesPzs() Output only.
ModelMonitor.Builder	clearTabularObjective() Optional default tabular model monitoring objective.
ModelMonitor.Builder	clearTrainingDataset() Optional training dataset used to train the model.
ModelMonitor.Builder	clearUpdateTime() Output only.
ModelMonitor.Builder	clone()
com.google.protobuf.Timestamp	getCreateTime() Output only.
com.google.protobuf.Timestamp.Builder	getCreateTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getCreateTimeOrBuilder() Output only.
ModelMonitor	getDefaultInstanceForType()
ModelMonitor.DefaultObjectiveCase	getDefaultObjectiveCase()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
String	getDisplayName() The display name of the ModelMonitor.
com.google.protobuf.ByteString	getDisplayNameBytes() The display name of the ModelMonitor.
ExplanationSpec	getExplanationSpec() Optional model explanation spec.
ExplanationSpec.Builder	getExplanationSpecBuilder() Optional model explanation spec.
ExplanationSpecOrBuilder	getExplanationSpecOrBuilder() Optional model explanation spec.
ModelMonitoringSchema	getModelMonitoringSchema() Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitoringSchema.Builder	getModelMonitoringSchemaBuilder() Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitoringSchemaOrBuilder	getModelMonitoringSchemaOrBuilder() Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitor.ModelMonitoringTarget	getModelMonitoringTarget() The entity that is subject to analysis.
ModelMonitor.ModelMonitoringTarget.Builder	getModelMonitoringTargetBuilder() The entity that is subject to analysis.
ModelMonitor.ModelMonitoringTargetOrBuilder	getModelMonitoringTargetOrBuilder() The entity that is subject to analysis.
String	getName() Immutable.
com.google.protobuf.ByteString	getNameBytes() Immutable.
ModelMonitoringNotificationSpec	getNotificationSpec() Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitoringNotificationSpec.Builder	getNotificationSpecBuilder() Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitoringNotificationSpecOrBuilder	getNotificationSpecOrBuilder() Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitoringOutputSpec	getOutputSpec() Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
ModelMonitoringOutputSpec.Builder	getOutputSpecBuilder() Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
ModelMonitoringOutputSpecOrBuilder	getOutputSpecOrBuilder() Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
boolean	getSatisfiesPzi() Output only.
boolean	getSatisfiesPzs() Output only.
ModelMonitoringObjectiveSpec.TabularObjective	getTabularObjective() Optional default tabular model monitoring objective.
ModelMonitoringObjectiveSpec.TabularObjective.Builder	getTabularObjectiveBuilder() Optional default tabular model monitoring objective.
ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder	getTabularObjectiveOrBuilder() Optional default tabular model monitoring objective.
ModelMonitoringInput	getTrainingDataset() Optional training dataset used to train the model.
ModelMonitoringInput.Builder	getTrainingDatasetBuilder() Optional training dataset used to train the model.
ModelMonitoringInputOrBuilder	getTrainingDatasetOrBuilder() Optional training dataset used to train the model.
com.google.protobuf.Timestamp	getUpdateTime() Output only.
com.google.protobuf.Timestamp.Builder	getUpdateTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getUpdateTimeOrBuilder() Output only.
boolean	hasCreateTime() Output only.
boolean	hasExplanationSpec() Optional model explanation spec.
boolean	hasModelMonitoringSchema() Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
boolean	hasModelMonitoringTarget() The entity that is subject to analysis.
boolean	hasNotificationSpec() Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
boolean	hasOutputSpec() Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
boolean	hasTabularObjective() Optional default tabular model monitoring objective.
boolean	hasTrainingDataset() Optional training dataset used to train the model.
boolean	hasUpdateTime() Output only.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
ModelMonitor.Builder	mergeCreateTime(com.google.protobuf.Timestamp value) Output only.
ModelMonitor.Builder	mergeExplanationSpec(ExplanationSpec value) Optional model explanation spec.
ModelMonitor.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitor.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitor.Builder	mergeFrom(ModelMonitor other)
ModelMonitor.Builder	mergeModelMonitoringSchema(ModelMonitoringSchema value) Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitor.Builder	mergeModelMonitoringTarget(ModelMonitor.ModelMonitoringTarget value) The entity that is subject to analysis.
ModelMonitor.Builder	mergeNotificationSpec(ModelMonitoringNotificationSpec value) Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitor.Builder	mergeOutputSpec(ModelMonitoringOutputSpec value) Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
ModelMonitor.Builder	mergeTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value) Optional default tabular model monitoring objective.
ModelMonitor.Builder	mergeTrainingDataset(ModelMonitoringInput value) Optional training dataset used to train the model.
ModelMonitor.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ModelMonitor.Builder	mergeUpdateTime(com.google.protobuf.Timestamp value) Output only.
ModelMonitor.Builder	setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
ModelMonitor.Builder	setCreateTime(com.google.protobuf.Timestamp value) Output only.
ModelMonitor.Builder	setDisplayName(String value) The display name of the ModelMonitor.
ModelMonitor.Builder	setDisplayNameBytes(com.google.protobuf.ByteString value) The display name of the ModelMonitor.
ModelMonitor.Builder	setExplanationSpec(ExplanationSpec.Builder builderForValue) Optional model explanation spec.
ModelMonitor.Builder	setExplanationSpec(ExplanationSpec value) Optional model explanation spec.
ModelMonitor.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ModelMonitor.Builder	setModelMonitoringSchema(ModelMonitoringSchema.Builder builderForValue) Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitor.Builder	setModelMonitoringSchema(ModelMonitoringSchema value) Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties.
ModelMonitor.Builder	setModelMonitoringTarget(ModelMonitor.ModelMonitoringTarget.Builder builderForValue) The entity that is subject to analysis.
ModelMonitor.Builder	setModelMonitoringTarget(ModelMonitor.ModelMonitoringTarget value) The entity that is subject to analysis.
ModelMonitor.Builder	setName(String value) Immutable.
ModelMonitor.Builder	setNameBytes(com.google.protobuf.ByteString value) Immutable.
ModelMonitor.Builder	setNotificationSpec(ModelMonitoringNotificationSpec.Builder builderForValue) Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitor.Builder	setNotificationSpec(ModelMonitoringNotificationSpec value) Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
ModelMonitor.Builder	setOutputSpec(ModelMonitoringOutputSpec.Builder builderForValue) Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
ModelMonitor.Builder	setOutputSpec(ModelMonitoringOutputSpec value) Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec.
ModelMonitor.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ModelMonitor.Builder	setSatisfiesPzi(boolean value) Output only.
ModelMonitor.Builder	setSatisfiesPzs(boolean value) Output only.
ModelMonitor.Builder	setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective.Builder builderForValue) Optional default tabular model monitoring objective.
ModelMonitor.Builder	setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value) Optional default tabular model monitoring objective.
ModelMonitor.Builder	setTrainingDataset(ModelMonitoringInput.Builder builderForValue) Optional training dataset used to train the model.
ModelMonitor.Builder	setTrainingDataset(ModelMonitoringInput value) Optional training dataset used to train the model.
ModelMonitor.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ModelMonitor.Builder	setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
ModelMonitor.Builder	setUpdateTime(com.google.protobuf.Timestamp value) Output only.

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

clear

public ModelMonitor.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

getDefaultInstanceForType

public ModelMonitor getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitor build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ModelMonitor buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public ModelMonitor.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

setField

public ModelMonitor.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                     Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

clearField

public ModelMonitor.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

clearOneof

public ModelMonitor.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

setRepeatedField

public ModelMonitor.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                             int index,
                                             Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

addRepeatedField

public ModelMonitor.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                             Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

mergeFrom

public ModelMonitor.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitor.Builder>

mergeFrom

public ModelMonitor.Builder mergeFrom(ModelMonitor other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

mergeFrom

public ModelMonitor.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                               throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitor.Builder>

Throws:

IOException

getDefaultObjectiveCase

public ModelMonitor.DefaultObjectiveCase getDefaultObjectiveCase()

Specified by:

getDefaultObjectiveCase in interface ModelMonitorOrBuilder

clearDefaultObjective

public ModelMonitor.Builder clearDefaultObjective()

hasTabularObjective

public boolean hasTabularObjective()

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

Specified by:

hasTabularObjective in interface ModelMonitorOrBuilder

Returns:

Whether the tabularObjective field is set.

getTabularObjective

public ModelMonitoringObjectiveSpec.TabularObjective getTabularObjective()

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

Specified by:

getTabularObjective in interface ModelMonitorOrBuilder

Returns:

The tabularObjective.

setTabularObjective

public ModelMonitor.Builder setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

setTabularObjective

public ModelMonitor.Builder setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective.Builder builderForValue)

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

mergeTabularObjective

public ModelMonitor.Builder mergeTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

clearTabularObjective

public ModelMonitor.Builder clearTabularObjective()

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

getTabularObjectiveBuilder

public ModelMonitoringObjectiveSpec.TabularObjective.Builder getTabularObjectiveBuilder()

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

getTabularObjectiveOrBuilder

public ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder getTabularObjectiveOrBuilder()

 Optional default tabular model monitoring objective.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;

Specified by:

getTabularObjectiveOrBuilder in interface ModelMonitorOrBuilder

getName

public String getName()

 Immutable. Resource name of the ModelMonitor. Format:
 `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
 

string name = 1 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getName in interface ModelMonitorOrBuilder

Returns:

The name.

getNameBytes

public com.google.protobuf.ByteString getNameBytes()

 Immutable. Resource name of the ModelMonitor. Format:
 `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
 

string name = 1 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getNameBytes in interface ModelMonitorOrBuilder

Returns:

The bytes for name.

setName

public ModelMonitor.Builder setName(String value)

 Immutable. Resource name of the ModelMonitor. Format:
 `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
 

string name = 1 [(.google.api.field_behavior) = IMMUTABLE];

Parameters:

value - The name to set.

Returns:

This builder for chaining.

clearName

public ModelMonitor.Builder clearName()

 Immutable. Resource name of the ModelMonitor. Format:
 `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
 

string name = 1 [(.google.api.field_behavior) = IMMUTABLE];

Returns:

This builder for chaining.

setNameBytes

public ModelMonitor.Builder setNameBytes(com.google.protobuf.ByteString value)

 Immutable. Resource name of the ModelMonitor. Format:
 `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
 

string name = 1 [(.google.api.field_behavior) = IMMUTABLE];

Parameters:

value - The bytes for name to set.

Returns:

This builder for chaining.

getDisplayName

public String getDisplayName()

 The display name of the ModelMonitor.
 The name can be up to 128 characters long and can consist of any UTF-8.
 

string display_name = 2;

Specified by:

getDisplayName in interface ModelMonitorOrBuilder

Returns:

The displayName.

getDisplayNameBytes

public com.google.protobuf.ByteString getDisplayNameBytes()

 The display name of the ModelMonitor.
 The name can be up to 128 characters long and can consist of any UTF-8.
 

string display_name = 2;

Specified by:

getDisplayNameBytes in interface ModelMonitorOrBuilder

Returns:

The bytes for displayName.

setDisplayName

public ModelMonitor.Builder setDisplayName(String value)

 The display name of the ModelMonitor.
 The name can be up to 128 characters long and can consist of any UTF-8.
 

string display_name = 2;

Parameters:

value - The displayName to set.

Returns:

This builder for chaining.

clearDisplayName

public ModelMonitor.Builder clearDisplayName()

 The display name of the ModelMonitor.
 The name can be up to 128 characters long and can consist of any UTF-8.
 

string display_name = 2;

Returns:

This builder for chaining.

setDisplayNameBytes

public ModelMonitor.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)

 The display name of the ModelMonitor.
 The name can be up to 128 characters long and can consist of any UTF-8.
 

string display_name = 2;

Parameters:

value - The bytes for displayName to set.

Returns:

This builder for chaining.

hasModelMonitoringTarget

public boolean hasModelMonitoringTarget()

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

Specified by:

hasModelMonitoringTarget in interface ModelMonitorOrBuilder

Returns:

Whether the modelMonitoringTarget field is set.

getModelMonitoringTarget

public ModelMonitor.ModelMonitoringTarget getModelMonitoringTarget()

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

Specified by:

getModelMonitoringTarget in interface ModelMonitorOrBuilder

Returns:

The modelMonitoringTarget.

setModelMonitoringTarget

public ModelMonitor.Builder setModelMonitoringTarget(ModelMonitor.ModelMonitoringTarget value)

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

setModelMonitoringTarget

public ModelMonitor.Builder setModelMonitoringTarget(ModelMonitor.ModelMonitoringTarget.Builder builderForValue)

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

mergeModelMonitoringTarget

public ModelMonitor.Builder mergeModelMonitoringTarget(ModelMonitor.ModelMonitoringTarget value)

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

clearModelMonitoringTarget

public ModelMonitor.Builder clearModelMonitoringTarget()

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

getModelMonitoringTargetBuilder

public ModelMonitor.ModelMonitoringTarget.Builder getModelMonitoringTargetBuilder()

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

getModelMonitoringTargetOrBuilder

public ModelMonitor.ModelMonitoringTargetOrBuilder getModelMonitoringTargetOrBuilder()

 The entity that is subject to analysis.
 Currently only models in Vertex AI Model Registry are supported. If you
 want to analyze the model which is outside the Vertex AI, you could
 register a model in Vertex AI Model Registry using just a display name.
 

.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;

Specified by:

getModelMonitoringTargetOrBuilder in interface ModelMonitorOrBuilder

hasTrainingDataset

public boolean hasTrainingDataset()

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

Specified by:

hasTrainingDataset in interface ModelMonitorOrBuilder

Returns:

Whether the trainingDataset field is set.

getTrainingDataset

public ModelMonitoringInput getTrainingDataset()

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

Specified by:

getTrainingDataset in interface ModelMonitorOrBuilder

Returns:

The trainingDataset.

setTrainingDataset

public ModelMonitor.Builder setTrainingDataset(ModelMonitoringInput value)

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

setTrainingDataset

public ModelMonitor.Builder setTrainingDataset(ModelMonitoringInput.Builder builderForValue)

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

mergeTrainingDataset

public ModelMonitor.Builder mergeTrainingDataset(ModelMonitoringInput value)

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

clearTrainingDataset

public ModelMonitor.Builder clearTrainingDataset()

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

getTrainingDatasetBuilder

public ModelMonitoringInput.Builder getTrainingDatasetBuilder()

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

getTrainingDatasetOrBuilder

public ModelMonitoringInputOrBuilder getTrainingDatasetOrBuilder()

 Optional training dataset used to train the model.
 It can serve as a reference dataset to identify changes in production.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;

Specified by:

getTrainingDatasetOrBuilder in interface ModelMonitorOrBuilder

hasNotificationSpec

public boolean hasNotificationSpec()

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

Specified by:

hasNotificationSpec in interface ModelMonitorOrBuilder

Returns:

Whether the notificationSpec field is set.

getNotificationSpec

public ModelMonitoringNotificationSpec getNotificationSpec()

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

Specified by:

getNotificationSpec in interface ModelMonitorOrBuilder

Returns:

The notificationSpec.

setNotificationSpec

public ModelMonitor.Builder setNotificationSpec(ModelMonitoringNotificationSpec value)

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

setNotificationSpec

public ModelMonitor.Builder setNotificationSpec(ModelMonitoringNotificationSpec.Builder builderForValue)

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

mergeNotificationSpec

public ModelMonitor.Builder mergeNotificationSpec(ModelMonitoringNotificationSpec value)

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

clearNotificationSpec

public ModelMonitor.Builder clearNotificationSpec()

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

getNotificationSpecBuilder

public ModelMonitoringNotificationSpec.Builder getNotificationSpecBuilder()

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

getNotificationSpecOrBuilder

public ModelMonitoringNotificationSpecOrBuilder getNotificationSpecOrBuilder()

 Optional default notification spec, it can be overridden in the
 ModelMonitoringJob notification spec.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;

Specified by:

getNotificationSpecOrBuilder in interface ModelMonitorOrBuilder

hasOutputSpec

public boolean hasOutputSpec()

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

Specified by:

hasOutputSpec in interface ModelMonitorOrBuilder

Returns:

Whether the outputSpec field is set.

getOutputSpec

public ModelMonitoringOutputSpec getOutputSpec()

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

Specified by:

getOutputSpec in interface ModelMonitorOrBuilder

Returns:

The outputSpec.

setOutputSpec

public ModelMonitor.Builder setOutputSpec(ModelMonitoringOutputSpec value)

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

setOutputSpec

public ModelMonitor.Builder setOutputSpec(ModelMonitoringOutputSpec.Builder builderForValue)

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

mergeOutputSpec

public ModelMonitor.Builder mergeOutputSpec(ModelMonitoringOutputSpec value)

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

clearOutputSpec

public ModelMonitor.Builder clearOutputSpec()

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

getOutputSpecBuilder

public ModelMonitoringOutputSpec.Builder getOutputSpecBuilder()

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

getOutputSpecOrBuilder

public ModelMonitoringOutputSpecOrBuilder getOutputSpecOrBuilder()

 Optional default monitoring metrics/logs export spec, it can be overridden
 in the ModelMonitoringJob output spec.
 If not specified, a default Google Cloud Storage bucket will be created
 under your project.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;

Specified by:

getOutputSpecOrBuilder in interface ModelMonitorOrBuilder

hasExplanationSpec

public boolean hasExplanationSpec()

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

Specified by:

hasExplanationSpec in interface ModelMonitorOrBuilder

Returns:

Whether the explanationSpec field is set.

getExplanationSpec

public ExplanationSpec getExplanationSpec()

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

Specified by:

getExplanationSpec in interface ModelMonitorOrBuilder

Returns:

The explanationSpec.

setExplanationSpec

public ModelMonitor.Builder setExplanationSpec(ExplanationSpec value)

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

setExplanationSpec

public ModelMonitor.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

mergeExplanationSpec

public ModelMonitor.Builder mergeExplanationSpec(ExplanationSpec value)

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

clearExplanationSpec

public ModelMonitor.Builder clearExplanationSpec()

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

getExplanationSpecBuilder

public ExplanationSpec.Builder getExplanationSpecBuilder()

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

getExplanationSpecOrBuilder

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

 Optional model explanation spec. It is used for feature attribution
 monitoring.
 

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;

Specified by:

getExplanationSpecOrBuilder in interface ModelMonitorOrBuilder

hasModelMonitoringSchema

public boolean hasModelMonitoringSchema()

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

Specified by:

hasModelMonitoringSchema in interface ModelMonitorOrBuilder

Returns:

Whether the modelMonitoringSchema field is set.

getModelMonitoringSchema

public ModelMonitoringSchema getModelMonitoringSchema()

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

Specified by:

getModelMonitoringSchema in interface ModelMonitorOrBuilder

Returns:

The modelMonitoringSchema.

setModelMonitoringSchema

public ModelMonitor.Builder setModelMonitoringSchema(ModelMonitoringSchema value)

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

setModelMonitoringSchema

public ModelMonitor.Builder setModelMonitoringSchema(ModelMonitoringSchema.Builder builderForValue)

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

mergeModelMonitoringSchema

public ModelMonitor.Builder mergeModelMonitoringSchema(ModelMonitoringSchema value)

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

clearModelMonitoringSchema

public ModelMonitor.Builder clearModelMonitoringSchema()

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

getModelMonitoringSchemaBuilder

public ModelMonitoringSchema.Builder getModelMonitoringSchemaBuilder()

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

getModelMonitoringSchemaOrBuilder

public ModelMonitoringSchemaOrBuilder getModelMonitoringSchemaOrBuilder()

 Monitoring Schema is to specify the model's features, prediction outputs
 and ground truth properties. It is used to extract pertinent data from the
 dataset and to process features based on their properties.
 Make sure that the schema aligns with your dataset, if it does not, we will
 be unable to extract data from the dataset.
 It is required for most models, but optional for Vertex AI AutoML Tables
 unless the schem information is not available.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;

Specified by:

getModelMonitoringSchemaOrBuilder in interface ModelMonitorOrBuilder

hasCreateTime

public boolean hasCreateTime()

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasCreateTime in interface ModelMonitorOrBuilder

Returns:

Whether the createTime field is set.

getCreateTime

public com.google.protobuf.Timestamp getCreateTime()

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getCreateTime in interface ModelMonitorOrBuilder

Returns:

The createTime.

setCreateTime

public ModelMonitor.Builder setCreateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

setCreateTime

public ModelMonitor.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeCreateTime

public ModelMonitor.Builder mergeCreateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearCreateTime

public ModelMonitor.Builder clearCreateTime()

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

getCreateTimeBuilder

public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

getCreateTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()

 Output only. Timestamp when this ModelMonitor was created.
 

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getCreateTimeOrBuilder in interface ModelMonitorOrBuilder

hasUpdateTime

public boolean hasUpdateTime()

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasUpdateTime in interface ModelMonitorOrBuilder

Returns:

Whether the updateTime field is set.

getUpdateTime

public com.google.protobuf.Timestamp getUpdateTime()

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getUpdateTime in interface ModelMonitorOrBuilder

Returns:

The updateTime.

setUpdateTime

public ModelMonitor.Builder setUpdateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

setUpdateTime

public ModelMonitor.Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeUpdateTime

public ModelMonitor.Builder mergeUpdateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearUpdateTime

public ModelMonitor.Builder clearUpdateTime()

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

getUpdateTimeBuilder

public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder()

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

getUpdateTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()

 Output only. Timestamp when this ModelMonitor was updated most recently.
 

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getUpdateTimeOrBuilder in interface ModelMonitorOrBuilder

getSatisfiesPzs

public boolean getSatisfiesPzs()

 Output only. Reserved for future use.
 

bool satisfies_pzs = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getSatisfiesPzs in interface ModelMonitorOrBuilder

Returns:

The satisfiesPzs.

setSatisfiesPzs

public ModelMonitor.Builder setSatisfiesPzs(boolean value)

 Output only. Reserved for future use.
 

bool satisfies_pzs = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:

value - The satisfiesPzs to set.

Returns:

This builder for chaining.

clearSatisfiesPzs

public ModelMonitor.Builder clearSatisfiesPzs()

 Output only. Reserved for future use.
 

bool satisfies_pzs = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

This builder for chaining.

getSatisfiesPzi

public boolean getSatisfiesPzi()

 Output only. Reserved for future use.
 

bool satisfies_pzi = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getSatisfiesPzi in interface ModelMonitorOrBuilder

Returns:

The satisfiesPzi.

setSatisfiesPzi

public ModelMonitor.Builder setSatisfiesPzi(boolean value)

 Output only. Reserved for future use.
 

bool satisfies_pzi = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:

value - The satisfiesPzi to set.

Returns:

This builder for chaining.

clearSatisfiesPzi

public ModelMonitor.Builder clearSatisfiesPzi()

 Output only. Reserved for future use.
 

bool satisfies_pzi = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

This builder for chaining.

setUnknownFields

public final ModelMonitor.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>

mergeUnknownFields

public final ModelMonitor.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitor.Builder>