Class BatchPredictionJob.Builder (3.11.0)

public static final class BatchPredictionJob.Builder extends GeneratedMessageV3.Builder<BatchPredictionJob.Builder> implements BatchPredictionJobOrBuilder

A job that uses a Model to produce predictions on multiple input instances. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

Protobuf type google.cloud.aiplatform.v1beta1.BatchPredictionJob

Inheritance

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

Implements

BatchPredictionJobOrBuilder

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)

GeneratedMessageV3.Builder.internalGetMutableMapField(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

addAllModelMonitoringStatsAnomalies(Iterable<? extends ModelMonitoringStatsAnomalies> values)

public BatchPredictionJob.Builder addAllModelMonitoringStatsAnomalies(Iterable<? extends ModelMonitoringStatsAnomalies> values)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies>`

Returns

Type	Description
`BatchPredictionJob.Builder`

addAllPartialFailures(Iterable<? extends Status> values)

public BatchPredictionJob.Builder addAllPartialFailures(Iterable<? extends Status> values)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`values`	`Iterable<? extends com.google.rpc.Status>`

Returns

Type	Description
`BatchPredictionJob.Builder`

addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies value)

public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies value)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`value`	`ModelMonitoringStatsAnomalies`

Returns

Type	Description
`BatchPredictionJob.Builder`

addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies.Builder builderForValue)

public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies.Builder builderForValue)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`builderForValue`	`ModelMonitoringStatsAnomalies.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

addModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies value)

public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies value)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameters

Name	Description
`index`	`int`
`value`	`ModelMonitoringStatsAnomalies`

Returns

Type	Description
`BatchPredictionJob.Builder`

addModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies.Builder builderForValue)

public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies.Builder builderForValue)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameters

Name	Description
`index`	`int`
`builderForValue`	`ModelMonitoringStatsAnomalies.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

addModelMonitoringStatsAnomaliesBuilder()

public ModelMonitoringStatsAnomalies.Builder addModelMonitoringStatsAnomaliesBuilder()

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Returns

Type	Description
`ModelMonitoringStatsAnomalies.Builder`

addModelMonitoringStatsAnomaliesBuilder(int index)

public ModelMonitoringStatsAnomalies.Builder addModelMonitoringStatsAnomaliesBuilder(int index)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`ModelMonitoringStatsAnomalies.Builder`

addPartialFailures(Status value)

public BatchPredictionJob.Builder addPartialFailures(Status value)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

addPartialFailures(Status.Builder builderForValue)

public BatchPredictionJob.Builder addPartialFailures(Status.Builder builderForValue)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`com.google.rpc.Status.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

addPartialFailures(int index, Status value)

public BatchPredictionJob.Builder addPartialFailures(int index, Status value)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters

Name	Description
`index`	`int`
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

addPartialFailures(int index, Status.Builder builderForValue)

public BatchPredictionJob.Builder addPartialFailures(int index, Status.Builder builderForValue)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters

Name	Description
`index`	`int`
`builderForValue`	`com.google.rpc.Status.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

addPartialFailuresBuilder()

public Status.Builder addPartialFailuresBuilder()

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.Status.Builder`

addPartialFailuresBuilder(int index)

public Status.Builder addPartialFailuresBuilder(int index)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`com.google.rpc.Status.Builder`

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

build()

public BatchPredictionJob build()

Returns

Type	Description
`BatchPredictionJob`

buildPartial()

public BatchPredictionJob buildPartial()

Returns

Type	Description
`BatchPredictionJob`

clear()

public BatchPredictionJob.Builder clear()

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCompletionStats()

public BatchPredictionJob.Builder clearCompletionStats()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearCreateTime()

public BatchPredictionJob.Builder clearCreateTime()

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearDedicatedResources()

public BatchPredictionJob.Builder clearDedicatedResources()

The config of resources used by the Model during the batch prediction. If the Model supports DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearDisplayName()

public BatchPredictionJob.Builder clearDisplayName()

Required. The user-defined name of this BatchPredictionJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearEncryptionSpec()

public BatchPredictionJob.Builder clearEncryptionSpec()

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearEndTime()

public BatchPredictionJob.Builder clearEndTime()

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearError()

public BatchPredictionJob.Builder clearError()

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearExplanationSpec()

public BatchPredictionJob.Builder clearExplanationSpec()

Explanation configuration for this BatchPredictionJob. Can be specified only if generate_explanation is set to true. This value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of the explanation_spec object is not populated, the corresponding field of the Model.explanation_spec object is inherited.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearField(Descriptors.FieldDescriptor field)

public BatchPredictionJob.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
`field`	`FieldDescriptor`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

clearGenerateExplanation()

public BatchPredictionJob.Builder clearGenerateExplanation()

Generate explanation with the batch prediction results. When set to true, the batch prediction output changes based on the predictions_format field of the BatchPredictionJob.output_config object:

bigquery: output includes a column named explanation. The value is a struct that conforms to the Explanation object.
jsonl: The JSON objects on each line include an additional entry keyed explanation. The value of the entry is a JSON object that conforms to the Explanation object.
csv: Generating explanations for CSV format is not supported. If this field is set to true, either the Model.explanation_spec or explanation_spec must be populated.

bool generate_explanation = 23;

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearInputConfig()

public BatchPredictionJob.Builder clearInputConfig()

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearInstanceConfig()

public BatchPredictionJob.Builder clearInstanceConfig()

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearLabels()

public BatchPredictionJob.Builder clearLabels()

Returns

Type	Description
`BatchPredictionJob.Builder`

clearManualBatchTuningParameters()

public BatchPredictionJob.Builder clearManualBatchTuningParameters()

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearModel()

public BatchPredictionJob.Builder clearModel()

The name of the Model resource that produces the predictions via this job, must share the same ancestor Location. Starting this job has no impact on any existing deployments of the Model and their resources. Exactly one of model and unmanaged_container_model must be set. The model resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be used.

string model = 3 [(.google.api.resource_reference) = { ... }

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearModelMonitoringConfig()

public BatchPredictionJob.Builder clearModelMonitoringConfig()

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearModelMonitoringStatsAnomalies()

public BatchPredictionJob.Builder clearModelMonitoringStatsAnomalies()

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearModelMonitoringStatus()

public BatchPredictionJob.Builder clearModelMonitoringStatus()

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearModelParameters()

public BatchPredictionJob.Builder clearModelParameters()

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearModelVersionId()

public BatchPredictionJob.Builder clearModelVersionId()

Output only. The version ID of the Model that produces the predictions via this job.

string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearName()

public BatchPredictionJob.Builder clearName()

Output only. Resource name of the BatchPredictionJob.

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

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public BatchPredictionJob.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
`oneof`	`OneofDescriptor`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

clearOutputConfig()

public BatchPredictionJob.Builder clearOutputConfig()

Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of Model's PredictSchemata's instance_schema_uri and prediction_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearOutputInfo()

public BatchPredictionJob.Builder clearOutputInfo()

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearPartialFailures()

public BatchPredictionJob.Builder clearPartialFailures()

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearResourcesConsumed()

public BatchPredictionJob.Builder clearResourcesConsumed()

Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearServiceAccount()

public BatchPredictionJob.Builder clearServiceAccount()

The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 29;

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearStartTime()

public BatchPredictionJob.Builder clearStartTime()

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clearState()

public BatchPredictionJob.Builder clearState()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

clearUnmanagedContainerModel()

public BatchPredictionJob.Builder clearUnmanagedContainerModel()

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
`BatchPredictionJob.Builder`

clearUpdateTime()

public BatchPredictionJob.Builder clearUpdateTime()

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.Builder`

clone()

public BatchPredictionJob.Builder clone()

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsLabels(String key)

public boolean containsLabels(String key)

The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 19;

Parameter

Name	Description
`key`	`String`

Returns

Type	Description
`boolean`

getCompletionStats()

public CompletionStats getCompletionStats()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`CompletionStats`	The completionStats.

getCompletionStatsBuilder()

public CompletionStats.Builder getCompletionStatsBuilder()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`CompletionStats.Builder`

getCompletionStatsOrBuilder()

public CompletionStatsOrBuilder getCompletionStatsOrBuilder()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`CompletionStatsOrBuilder`

getCreateTime()

public Timestamp getCreateTime()

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Timestamp`	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Builder`

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`TimestampOrBuilder`

getDedicatedResources()

public BatchDedicatedResources getDedicatedResources()

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
`BatchDedicatedResources`	The dedicatedResources.

getDedicatedResourcesBuilder()

public BatchDedicatedResources.Builder getDedicatedResourcesBuilder()

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
`BatchDedicatedResources.Builder`

getDedicatedResourcesOrBuilder()

public BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
`BatchDedicatedResourcesOrBuilder`

getDefaultInstanceForType()

public BatchPredictionJob getDefaultInstanceForType()

Returns

Type	Description
`BatchPredictionJob`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

Required. The user-defined name of this BatchPredictionJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`String`	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. The user-defined name of this BatchPredictionJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`ByteString`	The bytes for displayName.

getEncryptionSpec()

public EncryptionSpec getEncryptionSpec()

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
`EncryptionSpec`	The encryptionSpec.

getEncryptionSpecBuilder()

public EncryptionSpec.Builder getEncryptionSpecBuilder()

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
`EncryptionSpec.Builder`

getEncryptionSpecOrBuilder()

public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
`EncryptionSpecOrBuilder`

getEndTime()

public Timestamp getEndTime()

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Timestamp`	The endTime.

getEndTimeBuilder()

public Timestamp.Builder getEndTimeBuilder()

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Builder`

getEndTimeOrBuilder()

public TimestampOrBuilder getEndTimeOrBuilder()

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`TimestampOrBuilder`

getError()

public Status getError()

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.Status`	The error.

getErrorBuilder()

public Status.Builder getErrorBuilder()

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.Status.Builder`

getErrorOrBuilder()

public StatusOrBuilder getErrorOrBuilder()

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.StatusOrBuilder`

getExplanationSpec()

public ExplanationSpec getExplanationSpec()

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
`ExplanationSpec`	The explanationSpec.

getExplanationSpecBuilder()

public ExplanationSpec.Builder getExplanationSpecBuilder()

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
`ExplanationSpec.Builder`

getExplanationSpecOrBuilder()

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
`ExplanationSpecOrBuilder`

getGenerateExplanation()

public boolean getGenerateExplanation()

Generate explanation with the batch prediction results. When set to true, the batch prediction output changes based on the predictions_format field of the BatchPredictionJob.output_config object:

bigquery: output includes a column named explanation. The value is a struct that conforms to the Explanation object.
jsonl: The JSON objects on each line include an additional entry keyed explanation. The value of the entry is a JSON object that conforms to the Explanation object.
csv: Generating explanations for CSV format is not supported. If this field is set to true, either the Model.explanation_spec or explanation_spec must be populated.

bool generate_explanation = 23;

Returns

Type	Description
`boolean`	The generateExplanation.

getInputConfig()

public BatchPredictionJob.InputConfig getInputConfig()

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.InputConfig`	The inputConfig.

getInputConfigBuilder()

public BatchPredictionJob.InputConfig.Builder getInputConfigBuilder()

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.InputConfig.Builder`

getInputConfigOrBuilder()

public BatchPredictionJob.InputConfigOrBuilder getInputConfigOrBuilder()

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.InputConfigOrBuilder`

getInstanceConfig()

public BatchPredictionJob.InstanceConfig getInstanceConfig()

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Returns

Type	Description
`BatchPredictionJob.InstanceConfig`	The instanceConfig.

getInstanceConfigBuilder()

public BatchPredictionJob.InstanceConfig.Builder getInstanceConfigBuilder()

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Returns

Type	Description
`BatchPredictionJob.InstanceConfig.Builder`

getInstanceConfigOrBuilder()

public BatchPredictionJob.InstanceConfigOrBuilder getInstanceConfigOrBuilder()

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Returns

Type	Description
`BatchPredictionJob.InstanceConfigOrBuilder`

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns

Type	Description
`Map<String,String>`

getLabelsCount()

public int getLabelsCount()

map<string, string> labels = 19;

Returns

Type	Description
`int`

getLabelsMap()

public Map<String,String> getLabelsMap()

map<string, string> labels = 19;

Returns

Type	Description
`Map<String,String>`

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

map<string, string> labels = 19;

Parameters

Name	Description
`key`	`String`
`defaultValue`	`String`

Returns

Type	Description
`String`

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

map<string, string> labels = 19;

Parameter

Name	Description
`key`	`String`

Returns

Type	Description
`String`

getManualBatchTuningParameters()

public ManualBatchTuningParameters getManualBatchTuningParameters()

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
`ManualBatchTuningParameters`	The manualBatchTuningParameters.

getManualBatchTuningParametersBuilder()

public ManualBatchTuningParameters.Builder getManualBatchTuningParametersBuilder()

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
`ManualBatchTuningParameters.Builder`

getManualBatchTuningParametersOrBuilder()

public ManualBatchTuningParametersOrBuilder getManualBatchTuningParametersOrBuilder()

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
`ManualBatchTuningParametersOrBuilder`

getModel()

public String getModel()

string model = 3 [(.google.api.resource_reference) = { ... }

Returns

Type	Description
`String`	The model.

getModelBytes()

public ByteString getModelBytes()

string model = 3 [(.google.api.resource_reference) = { ... }

Returns

Type	Description
`ByteString`	The bytes for model.

getModelMonitoringConfig()

public ModelMonitoringConfig getModelMonitoringConfig()

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Returns

Type	Description
`ModelMonitoringConfig`	The modelMonitoringConfig.

getModelMonitoringConfigBuilder()

public ModelMonitoringConfig.Builder getModelMonitoringConfigBuilder()

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Returns

Type	Description
`ModelMonitoringConfig.Builder`

getModelMonitoringConfigOrBuilder()

public ModelMonitoringConfigOrBuilder getModelMonitoringConfigOrBuilder()

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Returns

Type	Description
`ModelMonitoringConfigOrBuilder`

getModelMonitoringStatsAnomalies(int index)

public ModelMonitoringStatsAnomalies getModelMonitoringStatsAnomalies(int index)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`ModelMonitoringStatsAnomalies`

getModelMonitoringStatsAnomaliesBuilder(int index)

public ModelMonitoringStatsAnomalies.Builder getModelMonitoringStatsAnomaliesBuilder(int index)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`ModelMonitoringStatsAnomalies.Builder`

getModelMonitoringStatsAnomaliesBuilderList()

public List<ModelMonitoringStatsAnomalies.Builder> getModelMonitoringStatsAnomaliesBuilderList()

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Returns

Type	Description
`List<Builder>`

getModelMonitoringStatsAnomaliesCount()

public int getModelMonitoringStatsAnomaliesCount()

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Returns

Type	Description
`int`

getModelMonitoringStatsAnomaliesList()

public List<ModelMonitoringStatsAnomalies> getModelMonitoringStatsAnomaliesList()

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Returns

Type	Description
`List<ModelMonitoringStatsAnomalies>`

getModelMonitoringStatsAnomaliesOrBuilder(int index)

public ModelMonitoringStatsAnomaliesOrBuilder getModelMonitoringStatsAnomaliesOrBuilder(int index)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`ModelMonitoringStatsAnomaliesOrBuilder`

getModelMonitoringStatsAnomaliesOrBuilderList()

public List<? extends ModelMonitoringStatsAnomaliesOrBuilder> getModelMonitoringStatsAnomaliesOrBuilderList()

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Returns

Type	Description
`List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomaliesOrBuilder>`

getModelMonitoringStatus()

public Status getModelMonitoringStatus()

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.Status`	The modelMonitoringStatus.

getModelMonitoringStatusBuilder()

public Status.Builder getModelMonitoringStatusBuilder()

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.Status.Builder`

getModelMonitoringStatusOrBuilder()

public StatusOrBuilder getModelMonitoringStatusOrBuilder()

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`com.google.rpc.StatusOrBuilder`

getModelParameters()

public Value getModelParameters()

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Returns

Type	Description
`Value`	The modelParameters.

getModelParametersBuilder()

public Value.Builder getModelParametersBuilder()

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Returns

Type	Description
`Builder`

getModelParametersOrBuilder()

public ValueOrBuilder getModelParametersOrBuilder()

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Returns

Type	Description
`ValueOrBuilder`

getModelVersionId()

public String getModelVersionId()

Output only. The version ID of the Model that produces the predictions via this job.

string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`String`	The modelVersionId.

getModelVersionIdBytes()

public ByteString getModelVersionIdBytes()

Output only. The version ID of the Model that produces the predictions via this job.

string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`ByteString`	The bytes for modelVersionId.

getMutableLabels()

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns

Type	Description
`Map<String,String>`

getName()

public String getName()

Output only. Resource name of the BatchPredictionJob.

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

Returns

Type	Description
`String`	The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Resource name of the BatchPredictionJob.

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

Returns

Type	Description
`ByteString`	The bytes for name.

getOutputConfig()

public BatchPredictionJob.OutputConfig getOutputConfig()

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.OutputConfig`	The outputConfig.

getOutputConfigBuilder()

public BatchPredictionJob.OutputConfig.Builder getOutputConfigBuilder()

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.OutputConfig.Builder`

getOutputConfigOrBuilder()

public BatchPredictionJob.OutputConfigOrBuilder getOutputConfigOrBuilder()

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`BatchPredictionJob.OutputConfigOrBuilder`

getOutputInfo()

public BatchPredictionJob.OutputInfo getOutputInfo()

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.OutputInfo`	The outputInfo.

getOutputInfoBuilder()

public BatchPredictionJob.OutputInfo.Builder getOutputInfoBuilder()

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.OutputInfo.Builder`

getOutputInfoOrBuilder()

public BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`BatchPredictionJob.OutputInfoOrBuilder`

getPartialFailures(int index)

public Status getPartialFailures(int index)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`com.google.rpc.Status`

getPartialFailuresBuilder(int index)

public Status.Builder getPartialFailuresBuilder(int index)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`com.google.rpc.Status.Builder`

getPartialFailuresBuilderList()

public List<Status.Builder> getPartialFailuresBuilderList()

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`List<com.google.rpc.Status.Builder>`

getPartialFailuresCount()

public int getPartialFailuresCount()

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`int`

getPartialFailuresList()

public List<Status> getPartialFailuresList()

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`List<com.google.rpc.Status>`

getPartialFailuresOrBuilder(int index)

public StatusOrBuilder getPartialFailuresOrBuilder(int index)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`com.google.rpc.StatusOrBuilder`

getPartialFailuresOrBuilderList()

public List<? extends StatusOrBuilder> getPartialFailuresOrBuilderList()

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`List<? extends com.google.rpc.StatusOrBuilder>`

getResourcesConsumed()

public ResourcesConsumed getResourcesConsumed()

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`ResourcesConsumed`	The resourcesConsumed.

getResourcesConsumedBuilder()

public ResourcesConsumed.Builder getResourcesConsumedBuilder()

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`ResourcesConsumed.Builder`

getResourcesConsumedOrBuilder()

public ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder()

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`ResourcesConsumedOrBuilder`

getServiceAccount()

public String getServiceAccount()

string service_account = 29;

Returns

Type	Description
`String`	The serviceAccount.

getServiceAccountBytes()

public ByteString getServiceAccountBytes()

string service_account = 29;

Returns

Type	Description
`ByteString`	The bytes for serviceAccount.

getStartTime()

public Timestamp getStartTime()

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Timestamp`	The startTime.

getStartTimeBuilder()

public Timestamp.Builder getStartTimeBuilder()

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Builder`

getStartTimeOrBuilder()

public TimestampOrBuilder getStartTimeOrBuilder()

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`TimestampOrBuilder`

getState()

public JobState getState()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`JobState`	The state.

getStateValue()

public int getStateValue()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`int`	The enum numeric value on the wire for state.

getUnmanagedContainerModel()

public UnmanagedContainerModel getUnmanagedContainerModel()

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
`UnmanagedContainerModel`	The unmanagedContainerModel.

getUnmanagedContainerModelBuilder()

public UnmanagedContainerModel.Builder getUnmanagedContainerModelBuilder()

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
`UnmanagedContainerModel.Builder`

getUnmanagedContainerModelOrBuilder()

public UnmanagedContainerModelOrBuilder getUnmanagedContainerModelOrBuilder()

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
`UnmanagedContainerModelOrBuilder`

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Timestamp`	The updateTime.

getUpdateTimeBuilder()

public Timestamp.Builder getUpdateTimeBuilder()

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`Builder`

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`TimestampOrBuilder`

hasCompletionStats()

public boolean hasCompletionStats()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the completionStats field is set.

hasCreateTime()

public boolean hasCreateTime()

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

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

hasDedicatedResources()

public boolean hasDedicatedResources()

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
`boolean`	Whether the dedicatedResources field is set.

hasEncryptionSpec()

public boolean hasEncryptionSpec()

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
`boolean`	Whether the encryptionSpec field is set.

hasEndTime()

public boolean hasEndTime()

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the endTime field is set.

hasError()

public boolean hasError()

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the error field is set.

hasExplanationSpec()

public boolean hasExplanationSpec()

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Returns

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

hasInputConfig()

public boolean hasInputConfig()

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`boolean`	Whether the inputConfig field is set.

hasInstanceConfig()

public boolean hasInstanceConfig()

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Returns

Type	Description
`boolean`	Whether the instanceConfig field is set.

hasManualBatchTuningParameters()

public boolean hasManualBatchTuningParameters()

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
`boolean`	Whether the manualBatchTuningParameters field is set.

hasModelMonitoringConfig()

public boolean hasModelMonitoringConfig()

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Returns

Type	Description
`boolean`	Whether the modelMonitoringConfig field is set.

hasModelMonitoringStatus()

public boolean hasModelMonitoringStatus()

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the modelMonitoringStatus field is set.

hasModelParameters()

public boolean hasModelParameters()

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Returns

Type	Description
`boolean`	Whether the modelParameters field is set.

hasOutputConfig()

public boolean hasOutputConfig()

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
`boolean`	Whether the outputConfig field is set.

hasOutputInfo()

public boolean hasOutputInfo()

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the outputInfo field is set.

hasResourcesConsumed()

public boolean hasResourcesConsumed()

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the resourcesConsumed field is set.

hasStartTime()

public boolean hasStartTime()

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
`boolean`	Whether the startTime field is set.

hasUnmanagedContainerModel()

public boolean hasUnmanagedContainerModel()

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
`boolean`	Whether the unmanagedContainerModel field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

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

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapField(int number)

protected MapField internalGetMapField(int number)

Parameter

Name	Description
`number`	`int`

Returns

Type	Description
`MapField`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMapField(int fieldNumber)

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)

Parameter

Name	Description
`number`	`int`

Returns

Type	Description
`MapField`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMutableMapField(int fieldNumber)

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeCompletionStats(CompletionStats value)

public BatchPredictionJob.Builder mergeCompletionStats(CompletionStats value)

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`CompletionStats`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeCreateTime(Timestamp value)

public BatchPredictionJob.Builder mergeCreateTime(Timestamp value)

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeDedicatedResources(BatchDedicatedResources value)

public BatchPredictionJob.Builder mergeDedicatedResources(BatchDedicatedResources value)

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Parameter

Name	Description
`value`	`BatchDedicatedResources`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeEncryptionSpec(EncryptionSpec value)

public BatchPredictionJob.Builder mergeEncryptionSpec(EncryptionSpec value)

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Parameter

Name	Description
`value`	`EncryptionSpec`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeEndTime(Timestamp value)

public BatchPredictionJob.Builder mergeEndTime(Timestamp value)

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeError(Status value)

public BatchPredictionJob.Builder mergeError(Status value)

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeExplanationSpec(ExplanationSpec value)

public BatchPredictionJob.Builder mergeExplanationSpec(ExplanationSpec value)

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Parameter

Name	Description
`value`	`ExplanationSpec`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeFrom(BatchPredictionJob other)

public BatchPredictionJob.Builder mergeFrom(BatchPredictionJob other)

Parameter

Name	Description
`other`	`BatchPredictionJob`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters

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

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

Exceptions

Type	Description
`IOException`

mergeFrom(Message other)

public BatchPredictionJob.Builder mergeFrom(Message other)

Parameter

Name	Description
`other`	`Message`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

mergeInputConfig(BatchPredictionJob.InputConfig value)

public BatchPredictionJob.Builder mergeInputConfig(BatchPredictionJob.InputConfig value)

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`value`	`BatchPredictionJob.InputConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeInstanceConfig(BatchPredictionJob.InstanceConfig value)

public BatchPredictionJob.Builder mergeInstanceConfig(BatchPredictionJob.InstanceConfig value)

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Parameter

Name	Description
`value`	`BatchPredictionJob.InstanceConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeManualBatchTuningParameters(ManualBatchTuningParameters value)

public BatchPredictionJob.Builder mergeManualBatchTuningParameters(ManualBatchTuningParameters value)

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Parameter

Name	Description
`value`	`ManualBatchTuningParameters`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeModelMonitoringConfig(ModelMonitoringConfig value)

public BatchPredictionJob.Builder mergeModelMonitoringConfig(ModelMonitoringConfig value)

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Parameter

Name	Description
`value`	`ModelMonitoringConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeModelMonitoringStatus(Status value)

public BatchPredictionJob.Builder mergeModelMonitoringStatus(Status value)

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeModelParameters(Value value)

public BatchPredictionJob.Builder mergeModelParameters(Value value)

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Parameter

Name	Description
`value`	`Value`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeOutputConfig(BatchPredictionJob.OutputConfig value)

public BatchPredictionJob.Builder mergeOutputConfig(BatchPredictionJob.OutputConfig value)

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`value`	`BatchPredictionJob.OutputConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeOutputInfo(BatchPredictionJob.OutputInfo value)

public BatchPredictionJob.Builder mergeOutputInfo(BatchPredictionJob.OutputInfo value)

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`BatchPredictionJob.OutputInfo`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeResourcesConsumed(ResourcesConsumed value)

public BatchPredictionJob.Builder mergeResourcesConsumed(ResourcesConsumed value)

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`ResourcesConsumed`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeStartTime(Timestamp value)

public BatchPredictionJob.Builder mergeStartTime(Timestamp value)

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeUnknownFields(UnknownFieldSet unknownFields)

public final BatchPredictionJob.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
`unknownFields`	`UnknownFieldSet`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

mergeUnmanagedContainerModel(UnmanagedContainerModel value)

public BatchPredictionJob.Builder mergeUnmanagedContainerModel(UnmanagedContainerModel value)

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Parameter

Name	Description
`value`	`UnmanagedContainerModel`

Returns

Type	Description
`BatchPredictionJob.Builder`

mergeUpdateTime(Timestamp value)

public BatchPredictionJob.Builder mergeUpdateTime(Timestamp value)

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

putAllLabels(Map<String,String> values)

public BatchPredictionJob.Builder putAllLabels(Map<String,String> values)

map<string, string> labels = 19;

Parameter

Name	Description
`values`	`Map<String,String>`

Returns

Type	Description
`BatchPredictionJob.Builder`

putLabels(String key, String value)

public BatchPredictionJob.Builder putLabels(String key, String value)

map<string, string> labels = 19;

Parameters

Name	Description
`key`	`String`
`value`	`String`

Returns

Type	Description
`BatchPredictionJob.Builder`

removeLabels(String key)

public BatchPredictionJob.Builder removeLabels(String key)

map<string, string> labels = 19;

Parameter

Name	Description
`key`	`String`

Returns

Type	Description
`BatchPredictionJob.Builder`

removeModelMonitoringStatsAnomalies(int index)

public BatchPredictionJob.Builder removeModelMonitoringStatsAnomalies(int index)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`BatchPredictionJob.Builder`

removePartialFailures(int index)

public BatchPredictionJob.Builder removePartialFailures(int index)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`index`	`int`

Returns

Type	Description
`BatchPredictionJob.Builder`

setCompletionStats(CompletionStats value)

public BatchPredictionJob.Builder setCompletionStats(CompletionStats value)

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`CompletionStats`

Returns

Type	Description
`BatchPredictionJob.Builder`

setCompletionStats(CompletionStats.Builder builderForValue)

public BatchPredictionJob.Builder setCompletionStats(CompletionStats.Builder builderForValue)

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`CompletionStats.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setCreateTime(Timestamp value)

public BatchPredictionJob.Builder setCreateTime(Timestamp value)

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

setCreateTime(Timestamp.Builder builderForValue)

public BatchPredictionJob.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Time when the BatchPredictionJob was created.

.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setDedicatedResources(BatchDedicatedResources value)

public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources value)

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Parameter

Name	Description
`value`	`BatchDedicatedResources`

Returns

Type	Description
`BatchPredictionJob.Builder`

setDedicatedResources(BatchDedicatedResources.Builder builderForValue)

public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources.Builder builderForValue)

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;

Parameter

Name	Description
`builderForValue`	`BatchDedicatedResources.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setDisplayName(String value)

public BatchPredictionJob.Builder setDisplayName(String value)

Required. The user-defined name of this BatchPredictionJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`value`	`String` The displayName to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setDisplayNameBytes(ByteString value)

public BatchPredictionJob.Builder setDisplayNameBytes(ByteString value)

Required. The user-defined name of this BatchPredictionJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`value`	`ByteString` The bytes for displayName to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setEncryptionSpec(EncryptionSpec value)

public BatchPredictionJob.Builder setEncryptionSpec(EncryptionSpec value)

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Parameter

Name	Description
`value`	`EncryptionSpec`

Returns

Type	Description
`BatchPredictionJob.Builder`

setEncryptionSpec(EncryptionSpec.Builder builderForValue)

public BatchPredictionJob.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;

Parameter

Name	Description
`builderForValue`	`EncryptionSpec.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setEndTime(Timestamp value)

public BatchPredictionJob.Builder setEndTime(Timestamp value)

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

setEndTime(Timestamp.Builder builderForValue)

public BatchPredictionJob.Builder setEndTime(Timestamp.Builder builderForValue)

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setError(Status value)

public BatchPredictionJob.Builder setError(Status value)

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

setError(Status.Builder builderForValue)

public BatchPredictionJob.Builder setError(Status.Builder builderForValue)

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`com.google.rpc.Status.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setExplanationSpec(ExplanationSpec value)

public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec value)

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Parameter

Name	Description
`value`	`ExplanationSpec`

Returns

Type	Description
`BatchPredictionJob.Builder`

setExplanationSpec(ExplanationSpec.Builder builderForValue)

public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

Parameter

Name	Description
`builderForValue`	`ExplanationSpec.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

setGenerateExplanation(boolean value)

public BatchPredictionJob.Builder setGenerateExplanation(boolean value)

Generate explanation with the batch prediction results. When set to true, the batch prediction output changes based on the predictions_format field of the BatchPredictionJob.output_config object:

bigquery: output includes a column named explanation. The value is a struct that conforms to the Explanation object.
jsonl: The JSON objects on each line include an additional entry keyed explanation. The value of the entry is a JSON object that conforms to the Explanation object.
csv: Generating explanations for CSV format is not supported. If this field is set to true, either the Model.explanation_spec or explanation_spec must be populated.

bool generate_explanation = 23;

Parameter

Name	Description
`value`	`boolean` The generateExplanation to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setInputConfig(BatchPredictionJob.InputConfig value)

public BatchPredictionJob.Builder setInputConfig(BatchPredictionJob.InputConfig value)

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`value`	`BatchPredictionJob.InputConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

setInputConfig(BatchPredictionJob.InputConfig.Builder builderForValue)

public BatchPredictionJob.Builder setInputConfig(BatchPredictionJob.InputConfig.Builder builderForValue)

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`builderForValue`	`BatchPredictionJob.InputConfig.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setInstanceConfig(BatchPredictionJob.InstanceConfig value)

public BatchPredictionJob.Builder setInstanceConfig(BatchPredictionJob.InstanceConfig value)

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Parameter

Name	Description
`value`	`BatchPredictionJob.InstanceConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

setInstanceConfig(BatchPredictionJob.InstanceConfig.Builder builderForValue)

public BatchPredictionJob.Builder setInstanceConfig(BatchPredictionJob.InstanceConfig.Builder builderForValue)

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

Parameter

Name	Description
`builderForValue`	`BatchPredictionJob.InstanceConfig.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setManualBatchTuningParameters(ManualBatchTuningParameters value)

public BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters value)

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Parameter

Name	Description
`value`	`ManualBatchTuningParameters`

Returns

Type	Description
`BatchPredictionJob.Builder`

setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue)

public BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue)

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Parameter

Name	Description
`builderForValue`	`ManualBatchTuningParameters.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModel(String value)

public BatchPredictionJob.Builder setModel(String value)

string model = 3 [(.google.api.resource_reference) = { ... }

Parameter

Name	Description
`value`	`String` The model to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setModelBytes(ByteString value)

public BatchPredictionJob.Builder setModelBytes(ByteString value)

string model = 3 [(.google.api.resource_reference) = { ... }

Parameter

Name	Description
`value`	`ByteString` The bytes for model to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setModelMonitoringConfig(ModelMonitoringConfig value)

public BatchPredictionJob.Builder setModelMonitoringConfig(ModelMonitoringConfig value)

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Parameter

Name	Description
`value`	`ModelMonitoringConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelMonitoringConfig(ModelMonitoringConfig.Builder builderForValue)

public BatchPredictionJob.Builder setModelMonitoringConfig(ModelMonitoringConfig.Builder builderForValue)

Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

Parameter

Name	Description
`builderForValue`	`ModelMonitoringConfig.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies value)

public BatchPredictionJob.Builder setModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies value)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameters

Name	Description
`index`	`int`
`value`	`ModelMonitoringStatsAnomalies`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies.Builder builderForValue)

public BatchPredictionJob.Builder setModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies.Builder builderForValue)

Get batch prediction job monitoring statistics.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

Parameters

Name	Description
`index`	`int`
`builderForValue`	`ModelMonitoringStatsAnomalies.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelMonitoringStatus(Status value)

public BatchPredictionJob.Builder setModelMonitoringStatus(Status value)

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelMonitoringStatus(Status.Builder builderForValue)

public BatchPredictionJob.Builder setModelMonitoringStatus(Status.Builder builderForValue)

Output only. The running status of the model monitoring pipeline.

.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`com.google.rpc.Status.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelParameters(Value value)

public BatchPredictionJob.Builder setModelParameters(Value value)

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Parameter

Name	Description
`value`	`Value`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelParameters(Value.Builder builderForValue)

public BatchPredictionJob.Builder setModelParameters(Value.Builder builderForValue)

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value model_parameters = 5;

Parameter

Name	Description
`builderForValue`	`Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setModelVersionId(String value)

public BatchPredictionJob.Builder setModelVersionId(String value)

Output only. The version ID of the Model that produces the predictions via this job.

string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`String` The modelVersionId to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setModelVersionIdBytes(ByteString value)

public BatchPredictionJob.Builder setModelVersionIdBytes(ByteString value)

Output only. The version ID of the Model that produces the predictions via this job.

string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`ByteString` The bytes for modelVersionId to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setName(String value)

public BatchPredictionJob.Builder setName(String value)

Output only. Resource name of the BatchPredictionJob.

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

Parameter

Name	Description
`value`	`String` The name to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setNameBytes(ByteString value)

public BatchPredictionJob.Builder setNameBytes(ByteString value)

Output only. Resource name of the BatchPredictionJob.

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

Parameter

Name	Description
`value`	`ByteString` The bytes for name to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setOutputConfig(BatchPredictionJob.OutputConfig value)

public BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig value)

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`value`	`BatchPredictionJob.OutputConfig`

Returns

Type	Description
`BatchPredictionJob.Builder`

setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue)

public BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue)

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
`builderForValue`	`BatchPredictionJob.OutputConfig.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setOutputInfo(BatchPredictionJob.OutputInfo value)

public BatchPredictionJob.Builder setOutputInfo(BatchPredictionJob.OutputInfo value)

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`BatchPredictionJob.OutputInfo`

Returns

Type	Description
`BatchPredictionJob.Builder`

setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue)

public BatchPredictionJob.Builder setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue)

Output only. Information further describing the output of this job.

.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`BatchPredictionJob.OutputInfo.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setPartialFailures(int index, Status value)

public BatchPredictionJob.Builder setPartialFailures(int index, Status value)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters

Name	Description
`index`	`int`
`value`	`com.google.rpc.Status`

Returns

Type	Description
`BatchPredictionJob.Builder`

setPartialFailures(int index, Status.Builder builderForValue)

public BatchPredictionJob.Builder setPartialFailures(int index, Status.Builder builderForValue)

Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters

Name	Description
`index`	`int`
`builderForValue`	`com.google.rpc.Status.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

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

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

Parameters

Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

setResourcesConsumed(ResourcesConsumed value)

public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed value)

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`ResourcesConsumed`

Returns

Type	Description
`BatchPredictionJob.Builder`

setResourcesConsumed(ResourcesConsumed.Builder builderForValue)

public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed.Builder builderForValue)

.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`ResourcesConsumed.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setServiceAccount(String value)

public BatchPredictionJob.Builder setServiceAccount(String value)

string service_account = 29;

Parameter

Name	Description
`value`	`String` The serviceAccount to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setServiceAccountBytes(ByteString value)

public BatchPredictionJob.Builder setServiceAccountBytes(ByteString value)

string service_account = 29;

Parameter

Name	Description
`value`	`ByteString` The bytes for serviceAccount to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setStartTime(Timestamp value)

public BatchPredictionJob.Builder setStartTime(Timestamp value)

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

setStartTime(Timestamp.Builder builderForValue)

public BatchPredictionJob.Builder setStartTime(Timestamp.Builder builderForValue)

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setState(JobState value)

public BatchPredictionJob.Builder setState(JobState value)

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`JobState` The state to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setStateValue(int value)

public BatchPredictionJob.Builder setStateValue(int value)

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`int` The enum numeric value on the wire for state to set.

Returns

Type	Description
`BatchPredictionJob.Builder`	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final BatchPredictionJob.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
`unknownFields`	`UnknownFieldSet`

Returns

Type	Description
`BatchPredictionJob.Builder`

Overrides

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

setUnmanagedContainerModel(UnmanagedContainerModel value)

public BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel value)

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Parameter

Name	Description
`value`	`UnmanagedContainerModel`

Returns

Type	Description
`BatchPredictionJob.Builder`

setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue)

public BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue)

Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.

.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;

Parameter

Name	Description
`builderForValue`	`UnmanagedContainerModel.Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`

setUpdateTime(Timestamp value)

public BatchPredictionJob.Builder setUpdateTime(Timestamp value)

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`value`	`Timestamp`

Returns

Type	Description
`BatchPredictionJob.Builder`

setUpdateTime(Timestamp.Builder builderForValue)

public BatchPredictionJob.Builder setUpdateTime(Timestamp.Builder builderForValue)

Output only. Time when the BatchPredictionJob was most recently updated.

.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
`builderForValue`	`Builder`

Returns

Type	Description
`BatchPredictionJob.Builder`