Package com.google.cloud.aiplatform.v1beta1

Class ModelMonitoringInput.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringInput.Builder>

com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.Builder

All Implemented Interfaces:

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

Enclosing class:

ModelMonitoringInput

public static final class ModelMonitoringInput.Builder
extends com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringInput.Builder>
implements ModelMonitoringInputOrBuilder

 Model monitoring data input spec.
 

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringInput

Method Summary

Modifier and Type	Method	Description
ModelMonitoringInput	build()
ModelMonitoringInput	buildPartial()
ModelMonitoringInput.Builder	clear()
ModelMonitoringInput.Builder	clearBatchPredictionOutput()	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	clearColumnizedDataset()	Columnized dataset.
ModelMonitoringInput.Builder	clearDataset()
ModelMonitoringInput.Builder	clearTimeInterval()	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	clearTimeOffset()	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	clearTimeSpec()
ModelMonitoringInput.Builder	clearVertexEndpointLogs()	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.BatchPredictionOutput	getBatchPredictionOutput()	Vertex AI Batch prediction Job.
ModelMonitoringInput.BatchPredictionOutput.Builder	getBatchPredictionOutputBuilder()	Vertex AI Batch prediction Job.
ModelMonitoringInput.BatchPredictionOutputOrBuilder	getBatchPredictionOutputOrBuilder()	Vertex AI Batch prediction Job.
ModelMonitoringInput.ModelMonitoringDataset	getColumnizedDataset()	Columnized dataset.
ModelMonitoringInput.ModelMonitoringDataset.Builder	getColumnizedDatasetBuilder()	Columnized dataset.
ModelMonitoringInput.ModelMonitoringDatasetOrBuilder	getColumnizedDatasetOrBuilder()	Columnized dataset.
ModelMonitoringInput.DatasetCase	getDatasetCase()
ModelMonitoringInput	getDefaultInstanceForType()
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
Interval	getTimeInterval()	The time interval (pair of start_time and end_time) for which results should be returned.
Interval.Builder	getTimeIntervalBuilder()	The time interval (pair of start_time and end_time) for which results should be returned.
IntervalOrBuilder	getTimeIntervalOrBuilder()	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.TimeOffset	getTimeOffset()	The time offset setting for which results should be returned.
ModelMonitoringInput.TimeOffset.Builder	getTimeOffsetBuilder()	The time offset setting for which results should be returned.
ModelMonitoringInput.TimeOffsetOrBuilder	getTimeOffsetOrBuilder()	The time offset setting for which results should be returned.
ModelMonitoringInput.TimeSpecCase	getTimeSpecCase()
ModelMonitoringInput.VertexEndpointLogs	getVertexEndpointLogs()	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.VertexEndpointLogs.Builder	getVertexEndpointLogsBuilder()	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.VertexEndpointLogsOrBuilder	getVertexEndpointLogsOrBuilder()	Vertex AI Endpoint request & response logging.
boolean	hasBatchPredictionOutput()	Vertex AI Batch prediction Job.
boolean	hasColumnizedDataset()	Columnized dataset.
boolean	hasTimeInterval()	The time interval (pair of start_time and end_time) for which results should be returned.
boolean	hasTimeOffset()	The time offset setting for which results should be returned.
boolean	hasVertexEndpointLogs()	Vertex AI Endpoint request & response logging.
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
ModelMonitoringInput.Builder	mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)	Columnized dataset.
ModelMonitoringInput.Builder	mergeFrom(ModelMonitoringInput other)
ModelMonitoringInput.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringInput.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitoringInput.Builder	mergeTimeInterval(Interval value)	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	mergeTimeOffset(ModelMonitoringInput.TimeOffset value)	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.Builder	setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput.Builder builderForValue)	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)	Columnized dataset.
ModelMonitoringInput.Builder	setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset.Builder builderForValue)	Columnized dataset.
ModelMonitoringInput.Builder	setTimeInterval(Interval value)	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	setTimeInterval(Interval.Builder builderForValue)	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	setTimeOffset(ModelMonitoringInput.TimeOffset value)	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	setTimeOffset(ModelMonitoringInput.TimeOffset.Builder builderForValue)	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.Builder	setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs.Builder builderForValue)	Vertex AI Endpoint request & response logging.

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

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, 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, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

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

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

mergeDelimitedFrom, mergeDelimitedFrom

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

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Details

getDescriptor

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

internalGetFieldAccessorTable

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

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringInput.Builder>

clear

public ModelMonitoringInput.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.GeneratedMessage.Builder<ModelMonitoringInput.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.GeneratedMessage.Builder<ModelMonitoringInput.Builder>

getDefaultInstanceForType

public ModelMonitoringInput getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitoringInput build()

Specified by:

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

Specified by:

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

buildPartial

public ModelMonitoringInput buildPartial()

Specified by:

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

Specified by:

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

mergeFrom

public ModelMonitoringInput.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<ModelMonitoringInput.Builder>

mergeFrom

public ModelMonitoringInput.Builder mergeFrom(ModelMonitoringInput other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringInput.Builder>

mergeFrom

public ModelMonitoringInput.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<ModelMonitoringInput.Builder>

Throws:

IOException

getDatasetCase

public ModelMonitoringInput.DatasetCase getDatasetCase()

Specified by:

getDatasetCase in interface ModelMonitoringInputOrBuilder

clearDataset

public ModelMonitoringInput.Builder clearDataset()

getTimeSpecCase

public ModelMonitoringInput.TimeSpecCase getTimeSpecCase()

Specified by:

getTimeSpecCase in interface ModelMonitoringInputOrBuilder

clearTimeSpec

public ModelMonitoringInput.Builder clearTimeSpec()

hasColumnizedDataset

public boolean hasColumnizedDataset()

 Columnized dataset.
 

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

Specified by:

hasColumnizedDataset in interface ModelMonitoringInputOrBuilder

Returns:

Whether the columnizedDataset field is set.

getColumnizedDataset

public ModelMonitoringInput.ModelMonitoringDataset getColumnizedDataset()

 Columnized dataset.
 

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

Specified by:

getColumnizedDataset in interface ModelMonitoringInputOrBuilder

Returns:

The columnizedDataset.

setColumnizedDataset

public ModelMonitoringInput.Builder setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)

 Columnized dataset.
 

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

setColumnizedDataset

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

 Columnized dataset.
 

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

mergeColumnizedDataset

public ModelMonitoringInput.Builder mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)

 Columnized dataset.
 

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

clearColumnizedDataset

public ModelMonitoringInput.Builder clearColumnizedDataset()

 Columnized dataset.
 

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

getColumnizedDatasetBuilder

public ModelMonitoringInput.ModelMonitoringDataset.Builder getColumnizedDatasetBuilder()

 Columnized dataset.
 

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

getColumnizedDatasetOrBuilder

public ModelMonitoringInput.ModelMonitoringDatasetOrBuilder getColumnizedDatasetOrBuilder()

 Columnized dataset.
 

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

Specified by:

getColumnizedDatasetOrBuilder in interface ModelMonitoringInputOrBuilder

hasBatchPredictionOutput

public boolean hasBatchPredictionOutput()

 Vertex AI Batch prediction Job.
 

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

Specified by:

hasBatchPredictionOutput in interface ModelMonitoringInputOrBuilder

Returns:

Whether the batchPredictionOutput field is set.

getBatchPredictionOutput

public ModelMonitoringInput.BatchPredictionOutput getBatchPredictionOutput()

 Vertex AI Batch prediction Job.
 

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

Specified by:

getBatchPredictionOutput in interface ModelMonitoringInputOrBuilder

Returns:

The batchPredictionOutput.

setBatchPredictionOutput

public ModelMonitoringInput.Builder setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)

 Vertex AI Batch prediction Job.
 

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

setBatchPredictionOutput

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

 Vertex AI Batch prediction Job.
 

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

mergeBatchPredictionOutput

public ModelMonitoringInput.Builder mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)

 Vertex AI Batch prediction Job.
 

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

clearBatchPredictionOutput

public ModelMonitoringInput.Builder clearBatchPredictionOutput()

 Vertex AI Batch prediction Job.
 

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

getBatchPredictionOutputBuilder

public ModelMonitoringInput.BatchPredictionOutput.Builder getBatchPredictionOutputBuilder()

 Vertex AI Batch prediction Job.
 

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

getBatchPredictionOutputOrBuilder

public ModelMonitoringInput.BatchPredictionOutputOrBuilder getBatchPredictionOutputOrBuilder()

 Vertex AI Batch prediction Job.
 

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

Specified by:

getBatchPredictionOutputOrBuilder in interface ModelMonitoringInputOrBuilder

hasVertexEndpointLogs

public boolean hasVertexEndpointLogs()

 Vertex AI Endpoint request & response logging.
 

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

Specified by:

hasVertexEndpointLogs in interface ModelMonitoringInputOrBuilder

Returns:

Whether the vertexEndpointLogs field is set.

getVertexEndpointLogs

public ModelMonitoringInput.VertexEndpointLogs getVertexEndpointLogs()

 Vertex AI Endpoint request & response logging.
 

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

Specified by:

getVertexEndpointLogs in interface ModelMonitoringInputOrBuilder

Returns:

The vertexEndpointLogs.

setVertexEndpointLogs

public ModelMonitoringInput.Builder setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)

 Vertex AI Endpoint request & response logging.
 

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

setVertexEndpointLogs

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

 Vertex AI Endpoint request & response logging.
 

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

mergeVertexEndpointLogs

public ModelMonitoringInput.Builder mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)

 Vertex AI Endpoint request & response logging.
 

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

clearVertexEndpointLogs

public ModelMonitoringInput.Builder clearVertexEndpointLogs()

 Vertex AI Endpoint request & response logging.
 

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

getVertexEndpointLogsBuilder

public ModelMonitoringInput.VertexEndpointLogs.Builder getVertexEndpointLogsBuilder()

 Vertex AI Endpoint request & response logging.
 

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

getVertexEndpointLogsOrBuilder

public ModelMonitoringInput.VertexEndpointLogsOrBuilder getVertexEndpointLogsOrBuilder()

 Vertex AI Endpoint request & response logging.
 

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

Specified by:

getVertexEndpointLogsOrBuilder in interface ModelMonitoringInputOrBuilder

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;

Specified by:

hasTimeInterval in interface ModelMonitoringInputOrBuilder

Returns:

Whether the timeInterval field is set.

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;

Specified by:

getTimeInterval in interface ModelMonitoringInputOrBuilder

Returns:

The timeInterval.

setTimeInterval

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;

setTimeInterval

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;

mergeTimeInterval

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;

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;

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;

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;

Specified by:

getTimeIntervalOrBuilder in interface ModelMonitoringInputOrBuilder

hasTimeOffset

public boolean hasTimeOffset()

 The time offset setting for which results should be returned.
 

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

Specified by:

hasTimeOffset in interface ModelMonitoringInputOrBuilder

Returns:

Whether the timeOffset field is set.

getTimeOffset

public ModelMonitoringInput.TimeOffset getTimeOffset()

 The time offset setting for which results should be returned.
 

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

Specified by:

getTimeOffset in interface ModelMonitoringInputOrBuilder

Returns:

The timeOffset.

setTimeOffset

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;

setTimeOffset

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;

mergeTimeOffset

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;

clearTimeOffset

public ModelMonitoringInput.Builder clearTimeOffset()

 The time offset setting for which results should be returned.
 

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

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;

getTimeOffsetOrBuilder

public ModelMonitoringInput.TimeOffsetOrBuilder getTimeOffsetOrBuilder()

 The time offset setting for which results should be returned.
 

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

Specified by:

getTimeOffsetOrBuilder in interface ModelMonitoringInputOrBuilder