Interface BatchPredictionJobOrBuilder (3.4.0)

public interface BatchPredictionJobOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsLabels(String key)

public abstract 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 abstract CompletionStats getCompletionStats()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
CompletionStats	The completionStats.

getCompletionStatsOrBuilder()

public abstract CompletionStatsOrBuilder getCompletionStatsOrBuilder()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
CompletionStatsOrBuilder

getCreateTime()

public abstract 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.

getCreateTimeOrBuilder()

public abstract 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 abstract BatchDedicatedResources getDedicatedResources()

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.v1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
BatchDedicatedResources	The dedicatedResources.

getDedicatedResourcesOrBuilder()

public abstract BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()

.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
BatchDedicatedResourcesOrBuilder

getDisplayName()

public abstract 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 abstract 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 abstract 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.v1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
EncryptionSpec	The encryptionSpec.

getEncryptionSpecOrBuilder()

public abstract 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.v1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
EncryptionSpecOrBuilder

getEndTime()

public abstract 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.

getEndTimeOrBuilder()

public abstract 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 abstract 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.

getErrorOrBuilder()

public abstract 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 abstract ExplanationSpec getExplanationSpec()

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.v1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
ExplanationSpec	The explanationSpec.

getExplanationSpecOrBuilder()

public abstract ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
ExplanationSpecOrBuilder

getGenerateExplanation()

public abstract 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 abstract 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.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
BatchPredictionJob.InputConfig	The inputConfig.

getInputConfigOrBuilder()

public abstract 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.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
BatchPredictionJob.InputConfigOrBuilder

getLabels()

public abstract Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns

Type	Description
Map<String,String>

getLabelsCount()

public abstract int getLabelsCount()

map<string, string> labels = 19;

Returns

Type	Description
int

getLabelsMap()

public abstract Map<String,String> getLabelsMap()

map<string, string> labels = 19;

Returns

Type	Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public abstract 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 abstract String getLabelsOrThrow(String key)

map<string, string> labels = 19;

Parameter

Name	Description
key	`String`

Returns

Type	Description
String

getManualBatchTuningParameters()

public abstract 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.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
ManualBatchTuningParameters	The manualBatchTuningParameters.

getManualBatchTuningParametersOrBuilder()

public abstract 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.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
ManualBatchTuningParametersOrBuilder

getModel()

public abstract String getModel()

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
String	The model.

getModelBytes()

public abstract ByteString getModelBytes()

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

Returns

Type	Description
ByteString	The bytes for model.

getModelParameters()

public abstract 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.

getModelParametersOrBuilder()

public abstract 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 abstract 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 abstract 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.

getName()

public abstract 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 abstract 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 abstract BatchPredictionJob.OutputConfig getOutputConfig()

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.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
BatchPredictionJob.OutputConfig	The outputConfig.

getOutputConfigOrBuilder()

public abstract BatchPredictionJob.OutputConfigOrBuilder getOutputConfigOrBuilder()

.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
BatchPredictionJob.OutputConfigOrBuilder

getOutputInfo()

public abstract BatchPredictionJob.OutputInfo getOutputInfo()

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

.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
BatchPredictionJob.OutputInfo	The outputInfo.

getOutputInfoOrBuilder()

public abstract BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()

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

.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
BatchPredictionJob.OutputInfoOrBuilder

getPartialFailures(int index)

public abstract 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 GCP 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

getPartialFailuresCount()

public abstract 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 GCP error details.

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

Returns

Type	Description
int

getPartialFailuresList()

public abstract 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 GCP 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 abstract 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 GCP 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 abstract 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 GCP 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 abstract ResourcesConsumed getResourcesConsumed()

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.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
ResourcesConsumed	The resourcesConsumed.

getResourcesConsumedOrBuilder()

public abstract ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder()

.google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
ResourcesConsumedOrBuilder

getStartTime()

public abstract 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.

getStartTimeOrBuilder()

public abstract 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 abstract JobState getState()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
JobState	The state.

getStateValue()

public abstract int getStateValue()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

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

getUnmanagedContainerModel()

public abstract 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.v1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
UnmanagedContainerModel	The unmanagedContainerModel.

getUnmanagedContainerModelOrBuilder()

public abstract 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.v1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
UnmanagedContainerModelOrBuilder

getUpdateTime()

public abstract 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.

getUpdateTimeOrBuilder()

public abstract 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 abstract boolean hasCompletionStats()

Output only. Statistics on completed and failed prediction instances.

.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
boolean	Whether the completionStats field is set.

hasCreateTime()

public abstract 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 abstract boolean hasDedicatedResources()

.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;

Returns

Type	Description
boolean	Whether the dedicatedResources field is set.

hasEncryptionSpec()

public abstract 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.v1.EncryptionSpec encryption_spec = 24;

Returns

Type	Description
boolean	Whether the encryptionSpec field is set.

hasEndTime()

public abstract 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 abstract 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 abstract boolean hasExplanationSpec()

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;

Returns

Type	Description
boolean	Whether the explanationSpec field is set.

hasInputConfig()

public abstract 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.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
boolean	Whether the inputConfig field is set.

hasManualBatchTuningParameters()

public abstract 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.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
boolean	Whether the manualBatchTuningParameters field is set.

hasModelParameters()

public abstract 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 abstract boolean hasOutputConfig()

.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
boolean	Whether the outputConfig field is set.

hasOutputInfo()

public abstract boolean hasOutputInfo()

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

.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
boolean	Whether the outputInfo field is set.

hasResourcesConsumed()

public abstract boolean hasResourcesConsumed()

.google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
boolean	Whether the resourcesConsumed field is set.

hasStartTime()

public abstract 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 abstract 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.v1.UnmanagedContainerModel unmanaged_container_model = 28;

Returns

Type	Description
boolean	Whether the unmanagedContainerModel field is set.

hasUpdateTime()

public abstract 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.