Class ModelMonitor (3.52.0)

public final class ModelMonitor extends GeneratedMessageV3 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

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ModelMonitor

Implements

ModelMonitorOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

AbstractMessageLite.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

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

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

CREATE_TIME_FIELD_NUMBER

public static final int CREATE_TIME_FIELD_NUMBER

Field Value
Type	Description
`int`

DISPLAY_NAME_FIELD_NUMBER

public static final int DISPLAY_NAME_FIELD_NUMBER

Field Value
Type	Description
`int`

EXPLANATION_SPEC_FIELD_NUMBER

public static final int EXPLANATION_SPEC_FIELD_NUMBER

Field Value
Type	Description
`int`

MODEL_MONITORING_SCHEMA_FIELD_NUMBER

public static final int MODEL_MONITORING_SCHEMA_FIELD_NUMBER

Field Value
Type	Description
`int`

MODEL_MONITORING_TARGET_FIELD_NUMBER

public static final int MODEL_MONITORING_TARGET_FIELD_NUMBER

Field Value
Type	Description
`int`

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER

Field Value
Type	Description
`int`

NOTIFICATION_SPEC_FIELD_NUMBER

public static final int NOTIFICATION_SPEC_FIELD_NUMBER

Field Value
Type	Description
`int`

OUTPUT_SPEC_FIELD_NUMBER

public static final int OUTPUT_SPEC_FIELD_NUMBER

Field Value
Type	Description
`int`

SATISFIES_PZI_FIELD_NUMBER

public static final int SATISFIES_PZI_FIELD_NUMBER

Field Value
Type	Description
`int`

SATISFIES_PZS_FIELD_NUMBER

public static final int SATISFIES_PZS_FIELD_NUMBER

Field Value
Type	Description
`int`

TABULAR_OBJECTIVE_FIELD_NUMBER

public static final int TABULAR_OBJECTIVE_FIELD_NUMBER

Field Value
Type	Description
`int`

TRAINING_DATASET_FIELD_NUMBER

public static final int TRAINING_DATASET_FIELD_NUMBER

Field Value
Type	Description
`int`

UPDATE_TIME_FIELD_NUMBER

public static final int UPDATE_TIME_FIELD_NUMBER

Field Value
Type	Description
`int`

Static Methods

getDefaultInstance()

public static ModelMonitor getDefaultInstance()

Returns
Type	Description
`ModelMonitor`

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

newBuilder()

public static ModelMonitor.Builder newBuilder()

Returns
Type	Description
`ModelMonitor.Builder`

newBuilder(ModelMonitor prototype)

public static ModelMonitor.Builder newBuilder(ModelMonitor prototype)

Parameter
Name	Description
`prototype`	`ModelMonitor`

Returns
Type	Description
`ModelMonitor.Builder`

parseDelimitedFrom(InputStream input)

public static ModelMonitor parseDelimitedFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`IOException`

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitor parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`IOException`

parseFrom(byte[] data)

public static ModelMonitor parseFrom(byte[] data)

Parameter
Name	Description
`data`	`byte[]`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitor parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`byte[]`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data)

public static ModelMonitor parseFrom(ByteString data)

Parameter
Name	Description
`data`	`ByteString`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitor parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteString`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(CodedInputStream input)

public static ModelMonitor parseFrom(CodedInputStream input)

Parameter
Name	Description
`input`	`CodedInputStream`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`IOException`

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitor parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input)

public static ModelMonitor parseFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitor parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`IOException`

parseFrom(ByteBuffer data)

public static ModelMonitor parseFrom(ByteBuffer data)

Parameter
Name	Description
`data`	`ByteBuffer`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitor parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteBuffer`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitor`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parser()

public static Parser<ModelMonitor> parser()

Returns
Type	Description
`Parser<ModelMonitor>`

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
`obj`	`Object`

Returns
Type	Description
`boolean`

Overrides

AbstractMessage.equals(Object other)

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this ModelMonitor was created.

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

Returns
Type	Description
`Timestamp`	The createTime.

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this ModelMonitor was created.

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

Returns
Type	Description
`TimestampOrBuilder`

getDefaultInstanceForType()

public ModelMonitor getDefaultInstanceForType()

Returns
Type	Description
`ModelMonitor`

getDefaultObjectiveCase()

public ModelMonitor.DefaultObjectiveCase getDefaultObjectiveCase()

Returns
Type	Description
`ModelMonitor.DefaultObjectiveCase`

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;

Returns
Type	Description
`String`	The displayName.

getDisplayNameBytes()

public 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;

Returns
Type	Description
`ByteString`	The bytes for displayName.

getExplanationSpec()

public ExplanationSpec getExplanationSpec()

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

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

Returns
Type	Description
`ExplanationSpec`	The explanationSpec.

getExplanationSpecOrBuilder()

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

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

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

Returns
Type	Description
`ExplanationSpecOrBuilder`

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;

Returns
Type	Description
`ModelMonitoringSchema`	The modelMonitoringSchema.

getModelMonitoringSchemaOrBuilder()

public ModelMonitoringSchemaOrBuilder getModelMonitoringSchemaOrBuilder()

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

Returns
Type	Description
`ModelMonitoringSchemaOrBuilder`

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;

Returns
Type	Description
`ModelMonitor.ModelMonitoringTarget`	The modelMonitoringTarget.

getModelMonitoringTargetOrBuilder()

public ModelMonitor.ModelMonitoringTargetOrBuilder getModelMonitoringTargetOrBuilder()

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

Returns
Type	Description
`ModelMonitor.ModelMonitoringTargetOrBuilder`

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];

Returns
Type	Description
`String`	The name.

getNameBytes()

public ByteString getNameBytes()

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

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

Returns
Type	Description
`ByteString`	The bytes for name.

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;

Returns
Type	Description
`ModelMonitoringNotificationSpec`	The notificationSpec.

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;

Returns
Type	Description
`ModelMonitoringNotificationSpecOrBuilder`

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;

Returns
Type	Description
`ModelMonitoringOutputSpec`	The outputSpec.

getOutputSpecOrBuilder()

public ModelMonitoringOutputSpecOrBuilder getOutputSpecOrBuilder()

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

Returns
Type	Description
`ModelMonitoringOutputSpecOrBuilder`

getParserForType()

public Parser<ModelMonitor> getParserForType()

Returns
Type	Description
`Parser<ModelMonitor>`

Overrides

GeneratedMessageV3.getParserForType()

getSatisfiesPzi()

public boolean getSatisfiesPzi()

Output only. Reserved for future use.

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

Returns
Type	Description
`boolean`	The satisfiesPzi.

getSatisfiesPzs()

public boolean getSatisfiesPzs()

Output only. Reserved for future use.

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

Returns
Type	Description
`boolean`	The satisfiesPzs.

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
`int`

Overrides

GeneratedMessageV3.getSerializedSize()

getTabularObjective()

public ModelMonitoringObjectiveSpec.TabularObjective getTabularObjective()

Optional default tabular model monitoring objective.

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

Returns
Type	Description
`ModelMonitoringObjectiveSpec.TabularObjective`	The tabularObjective.

getTabularObjectiveOrBuilder()

public ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder getTabularObjectiveOrBuilder()

Optional default tabular model monitoring objective.

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

Returns
Type	Description
`ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder`

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;

Returns
Type	Description
`ModelMonitoringInput`	The trainingDataset.

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;

Returns
Type	Description
`ModelMonitoringInputOrBuilder`

getUpdateTime()

public Timestamp getUpdateTime()

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

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

Returns
Type	Description
`Timestamp`	The updateTime.

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

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

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

Returns
Type	Description
`TimestampOrBuilder`

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this ModelMonitor was created.

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

Returns
Type	Description
`boolean`	Whether the createTime field is set.

hasExplanationSpec()

public boolean hasExplanationSpec()

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

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

Returns
Type	Description
`boolean`	Whether the explanationSpec field is set.

hasModelMonitoringSchema()

public boolean hasModelMonitoringSchema()

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

Returns
Type	Description
`boolean`	Whether the modelMonitoringSchema field is set.

hasModelMonitoringTarget()

public boolean hasModelMonitoringTarget()

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

Returns
Type	Description
`boolean`	Whether the modelMonitoringTarget field is set.

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;

Returns
Type	Description
`boolean`	Whether the notificationSpec field is set.

hasOutputSpec()

public boolean hasOutputSpec()

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

Returns
Type	Description
`boolean`	Whether the outputSpec field is set.

hasTabularObjective()

public boolean hasTabularObjective()

Optional default tabular model monitoring objective.

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

Returns
Type	Description
`boolean`	Whether the tabularObjective field is set.

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;

Returns
Type	Description
`boolean`	Whether the trainingDataset field is set.

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];

Returns
Type	Description
`boolean`	Whether the updateTime field is set.

hashCode()

public int hashCode()

Returns
Type	Description
`int`

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public ModelMonitor.Builder newBuilderForType()

Returns
Type	Description
`ModelMonitor.Builder`

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitor.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter
Name	Description
`parent`	`BuilderParent`

Returns
Type	Description
`ModelMonitor.Builder`

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter
Name	Description
`unused`	`UnusedPrivateParameter`

Returns
Type	Description
`Object`

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public ModelMonitor.Builder toBuilder()

Returns
Type	Description
`ModelMonitor.Builder`

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
`output`	`CodedOutputStream`

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
`IOException`