Class ModelMonitoringInput.Builder (3.50.0)

Version 3.50.0

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public static final class ModelMonitoringInput.Builder extends GeneratedMessageV3.Builder<ModelMonitoringInput.Builder> implements ModelMonitoringInputOrBuilder

Model monitoring data input spec.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringInput

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringInput.Builder

Implements

ModelMonitoringInputOrBuilder

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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

build()

public ModelMonitoringInput build()

Returns
Type	Description
ModelMonitoringInput

buildPartial()

public ModelMonitoringInput buildPartial()

Returns
Type	Description
ModelMonitoringInput

clear()

public ModelMonitoringInput.Builder clear()

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearBatchPredictionOutput()

public ModelMonitoringInput.Builder clearBatchPredictionOutput()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
ModelMonitoringInput.Builder

clearColumnizedDataset()

public ModelMonitoringInput.Builder clearColumnizedDataset()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
ModelMonitoringInput.Builder

clearDataset()

public ModelMonitoringInput.Builder clearDataset()

Returns
Type	Description
ModelMonitoringInput.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringInput.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringInput.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

clearTimeInterval()

public ModelMonitoringInput.Builder clearTimeInterval()

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Returns
Type	Description
ModelMonitoringInput.Builder

clearTimeOffset()

public ModelMonitoringInput.Builder clearTimeOffset()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
ModelMonitoringInput.Builder

clearTimeSpec()

public ModelMonitoringInput.Builder clearTimeSpec()

Returns
Type	Description
ModelMonitoringInput.Builder

clearVertexEndpointLogs()

public ModelMonitoringInput.Builder clearVertexEndpointLogs()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
ModelMonitoringInput.Builder

clone()

public ModelMonitoringInput.Builder clone()

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getBatchPredictionOutput()

public ModelMonitoringInput.BatchPredictionOutput getBatchPredictionOutput()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
ModelMonitoringInput.BatchPredictionOutput	The batchPredictionOutput.

getBatchPredictionOutputBuilder()

public ModelMonitoringInput.BatchPredictionOutput.Builder getBatchPredictionOutputBuilder()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
ModelMonitoringInput.BatchPredictionOutput.Builder

getBatchPredictionOutputOrBuilder()

public ModelMonitoringInput.BatchPredictionOutputOrBuilder getBatchPredictionOutputOrBuilder()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
ModelMonitoringInput.BatchPredictionOutputOrBuilder

getColumnizedDataset()

public ModelMonitoringInput.ModelMonitoringDataset getColumnizedDataset()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
ModelMonitoringInput.ModelMonitoringDataset	The columnizedDataset.

getColumnizedDatasetBuilder()

public ModelMonitoringInput.ModelMonitoringDataset.Builder getColumnizedDatasetBuilder()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
ModelMonitoringInput.ModelMonitoringDataset.Builder

getColumnizedDatasetOrBuilder()

public ModelMonitoringInput.ModelMonitoringDatasetOrBuilder getColumnizedDatasetOrBuilder()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
ModelMonitoringInput.ModelMonitoringDatasetOrBuilder

getDatasetCase()

public ModelMonitoringInput.DatasetCase getDatasetCase()

Returns
Type	Description
ModelMonitoringInput.DatasetCase

getDefaultInstanceForType()

public ModelMonitoringInput getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringInput

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getTimeInterval()

public Interval getTimeInterval()

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Returns
Type	Description
com.google.type.Interval	The timeInterval.

getTimeIntervalBuilder()

public Interval.Builder getTimeIntervalBuilder()

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Returns
Type	Description
com.google.type.Interval.Builder

getTimeIntervalOrBuilder()

public IntervalOrBuilder getTimeIntervalOrBuilder()

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Returns
Type	Description
com.google.type.IntervalOrBuilder

getTimeOffset()

public ModelMonitoringInput.TimeOffset getTimeOffset()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
ModelMonitoringInput.TimeOffset	The timeOffset.

getTimeOffsetBuilder()

public ModelMonitoringInput.TimeOffset.Builder getTimeOffsetBuilder()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
ModelMonitoringInput.TimeOffset.Builder

getTimeOffsetOrBuilder()

public ModelMonitoringInput.TimeOffsetOrBuilder getTimeOffsetOrBuilder()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
ModelMonitoringInput.TimeOffsetOrBuilder

getTimeSpecCase()

public ModelMonitoringInput.TimeSpecCase getTimeSpecCase()

Returns
Type	Description
ModelMonitoringInput.TimeSpecCase

getVertexEndpointLogs()

public ModelMonitoringInput.VertexEndpointLogs getVertexEndpointLogs()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
ModelMonitoringInput.VertexEndpointLogs	The vertexEndpointLogs.

getVertexEndpointLogsBuilder()

public ModelMonitoringInput.VertexEndpointLogs.Builder getVertexEndpointLogsBuilder()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
ModelMonitoringInput.VertexEndpointLogs.Builder

getVertexEndpointLogsOrBuilder()

public ModelMonitoringInput.VertexEndpointLogsOrBuilder getVertexEndpointLogsOrBuilder()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
ModelMonitoringInput.VertexEndpointLogsOrBuilder

hasBatchPredictionOutput()

public boolean hasBatchPredictionOutput()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
boolean	Whether the batchPredictionOutput field is set.

hasColumnizedDataset()

public boolean hasColumnizedDataset()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
boolean	Whether the columnizedDataset field is set.

hasTimeInterval()

public boolean hasTimeInterval()

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Returns
Type	Description
boolean	Whether the timeInterval field is set.

hasTimeOffset()

public boolean hasTimeOffset()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
boolean	Whether the timeOffset field is set.

hasVertexEndpointLogs()

public boolean hasVertexEndpointLogs()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
boolean	Whether the vertexEndpointLogs field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)

public ModelMonitoringInput.Builder mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Parameter
Name	Description
value	ModelMonitoringInput.BatchPredictionOutput

Returns
Type	Description
ModelMonitoringInput.Builder

mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)

public ModelMonitoringInput.Builder mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Parameter
Name	Description
value	ModelMonitoringInput.ModelMonitoringDataset

Returns
Type	Description
ModelMonitoringInput.Builder

mergeFrom(ModelMonitoringInput other)

public ModelMonitoringInput.Builder mergeFrom(ModelMonitoringInput other)

Parameter
Name	Description
other	ModelMonitoringInput

Returns
Type	Description
ModelMonitoringInput.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringInput.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringInput.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

mergeTimeInterval(Interval value)

public ModelMonitoringInput.Builder mergeTimeInterval(Interval value)

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Parameter
Name	Description
value	com.google.type.Interval

Returns
Type	Description
ModelMonitoringInput.Builder

mergeTimeOffset(ModelMonitoringInput.TimeOffset value)

public ModelMonitoringInput.Builder mergeTimeOffset(ModelMonitoringInput.TimeOffset value)

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Parameter
Name	Description
value	ModelMonitoringInput.TimeOffset

Returns
Type	Description
ModelMonitoringInput.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringInput.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)

public ModelMonitoringInput.Builder mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Parameter
Name	Description
value	ModelMonitoringInput.VertexEndpointLogs

Returns
Type	Description
ModelMonitoringInput.Builder

setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)

public ModelMonitoringInput.Builder setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Parameter
Name	Description
value	ModelMonitoringInput.BatchPredictionOutput

Returns
Type	Description
ModelMonitoringInput.Builder

setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput.Builder builderForValue)

public ModelMonitoringInput.Builder setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput.Builder builderForValue)

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Parameter
Name	Description
builderForValue	ModelMonitoringInput.BatchPredictionOutput.Builder

Returns
Type	Description
ModelMonitoringInput.Builder

setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)

public ModelMonitoringInput.Builder setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Parameter
Name	Description
value	ModelMonitoringInput.ModelMonitoringDataset

Returns
Type	Description
ModelMonitoringInput.Builder

setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset.Builder builderForValue)

public ModelMonitoringInput.Builder setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset.Builder builderForValue)

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Parameter
Name	Description
builderForValue	ModelMonitoringInput.ModelMonitoringDataset.Builder

Returns
Type	Description
ModelMonitoringInput.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

setTimeInterval(Interval value)

public ModelMonitoringInput.Builder setTimeInterval(Interval value)

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Parameter
Name	Description
value	com.google.type.Interval

Returns
Type	Description
ModelMonitoringInput.Builder

setTimeInterval(Interval.Builder builderForValue)

public ModelMonitoringInput.Builder setTimeInterval(Interval.Builder builderForValue)

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Parameter
Name	Description
builderForValue	com.google.type.Interval.Builder

Returns
Type	Description
ModelMonitoringInput.Builder

setTimeOffset(ModelMonitoringInput.TimeOffset value)

public ModelMonitoringInput.Builder setTimeOffset(ModelMonitoringInput.TimeOffset value)

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Parameter
Name	Description
value	ModelMonitoringInput.TimeOffset

Returns
Type	Description
ModelMonitoringInput.Builder

setTimeOffset(ModelMonitoringInput.TimeOffset.Builder builderForValue)

public ModelMonitoringInput.Builder setTimeOffset(ModelMonitoringInput.TimeOffset.Builder builderForValue)

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Parameter
Name	Description
builderForValue	ModelMonitoringInput.TimeOffset.Builder

Returns
Type	Description
ModelMonitoringInput.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringInput.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringInput.Builder

Overrides

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

setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)

public ModelMonitoringInput.Builder setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Parameter
Name	Description
value	ModelMonitoringInput.VertexEndpointLogs

Returns
Type	Description
ModelMonitoringInput.Builder

setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs.Builder builderForValue)

public ModelMonitoringInput.Builder setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs.Builder builderForValue)

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Parameter
Name	Description
builderForValue	ModelMonitoringInput.VertexEndpointLogs.Builder

Returns
Type	Description
ModelMonitoringInput.Builder