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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.BuilderImplements
BatchPredictionJobOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
values | Iterable<? extends com.google.rpc.Status> |
Type | Description |
BatchPredictionJob.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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
value | com.google.rpc.Status |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
builderForValue | com.google.rpc.Status.Builder |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
value | com.google.rpc.Status |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
builderForValue | com.google.rpc.Status.Builder |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
Type | Description |
com.google.rpc.Status.Builder |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public BatchPredictionJob.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
BatchPredictionJob.Builder |
build()
public BatchPredictionJob build()
Type | Description |
BatchPredictionJob |
buildPartial()
public BatchPredictionJob buildPartial()
Type | Description |
BatchPredictionJob |
clear()
public BatchPredictionJob.Builder clear()
Type | Description |
BatchPredictionJob.Builder |
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];
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];
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;
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];
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;
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];
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];
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;
Type | Description |
BatchPredictionJob.Builder |
clearField(Descriptors.FieldDescriptor field)
public BatchPredictionJob.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
BatchPredictionJob.Builder |
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 namedexplanation
. The value is a struct that conforms to the Explanation object.jsonl
: The JSON objects on each line include an additional entry keyedexplanation
. 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;
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];
Type | Description |
BatchPredictionJob.Builder |
clearLabels()
public BatchPredictionJob.Builder clearLabels()
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];
Type | Description |
BatchPredictionJob.Builder |
clearModel()
public BatchPredictionJob.Builder clearModel()
The name of the Model resoure 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) = { ... }
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;
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;
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];
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];
Type | Description |
BatchPredictionJob.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public BatchPredictionJob.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
BatchPredictionJob.Builder |
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];
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];
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
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 GCP resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
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];
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];
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;
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];
Type | Description |
BatchPredictionJob.Builder |
clone()
public BatchPredictionJob.Builder clone()
Type | Description |
BatchPredictionJob.Builder |
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;
Name | Description |
key | String |
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];
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];
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];
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];
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];
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];
Type | Description |
TimestampOrBuilder |
getDedicatedResources()
public 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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
Type | Description |
BatchDedicatedResources | The dedicatedResources. |
getDedicatedResourcesBuilder()
public BatchDedicatedResources.Builder getDedicatedResourcesBuilder()
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;
Type | Description |
BatchDedicatedResources.Builder |
getDedicatedResourcesOrBuilder()
public BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
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;
Type | Description |
BatchDedicatedResourcesOrBuilder |
getDefaultInstanceForType()
public BatchPredictionJob getDefaultInstanceForType()
Type | Description |
BatchPredictionJob |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getDisplayName()
public String getDisplayName()
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
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];
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;
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;
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;
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];
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];
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];
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];
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];
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];
Type | Description |
com.google.rpc.StatusOrBuilder |
getExplanationSpec()
public 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.v1beta1.ExplanationSpec explanation_spec = 25;
Type | Description |
ExplanationSpec | The explanationSpec. |
getExplanationSpecBuilder()
public ExplanationSpec.Builder getExplanationSpecBuilder()
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;
Type | Description |
ExplanationSpec.Builder |
getExplanationSpecOrBuilder()
public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
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;
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 namedexplanation
. The value is a struct that conforms to the Explanation object.jsonl
: The JSON objects on each line include an additional entry keyedexplanation
. 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;
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];
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];
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];
Type | Description |
BatchPredictionJob.InputConfigOrBuilder |
getLabels()
public Map<String,String> getLabels()
Use #getLabelsMap() instead.
Type | Description |
Map<String,String> |
getLabelsCount()
public int getLabelsCount()
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;
Type | Description |
int |
getLabelsMap()
public Map<String,String> getLabelsMap()
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;
Type | Description |
Map<String,String> |
getLabelsOrDefault(String key, String defaultValue)
public String getLabelsOrDefault(String key, String defaultValue)
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;
Name | Description |
key | String |
defaultValue | String |
Type | Description |
String |
getLabelsOrThrow(String key)
public String getLabelsOrThrow(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;
Name | Description |
key | String |
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];
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];
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];
Type | Description |
ManualBatchTuningParametersOrBuilder |
getModel()
public String getModel()
The name of the Model resoure 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) = { ... }
Type | Description |
String | The model. |
getModelBytes()
public ByteString getModelBytes()
The name of the Model resoure 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) = { ... }
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;
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;
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;
Type | Description |
ModelMonitoringConfigOrBuilder |
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;
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;
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;
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];
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];
Type | Description |
ByteString | The bytes for modelVersionId. |
getMutableLabels()
public Map<String,String> getMutableLabels()
Use alternate mutation accessors instead.
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];
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];
Type | Description |
ByteString | The bytes for name. |
getOutputConfig()
public 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.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
BatchPredictionJob.OutputConfig | The outputConfig. |
getOutputConfigBuilder()
public BatchPredictionJob.OutputConfig.Builder getOutputConfigBuilder()
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];
Type | Description |
BatchPredictionJob.OutputConfig.Builder |
getOutputConfigOrBuilder()
public BatchPredictionJob.OutputConfigOrBuilder getOutputConfigOrBuilder()
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];
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];
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];
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];
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
List<? extends com.google.rpc.StatusOrBuilder> |
getResourcesConsumed()
public 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.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
ResourcesConsumed | The resourcesConsumed. |
getResourcesConsumedBuilder()
public ResourcesConsumed.Builder getResourcesConsumedBuilder()
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];
Type | Description |
ResourcesConsumed.Builder |
getResourcesConsumedOrBuilder()
public ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder()
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];
Type | Description |
ResourcesConsumedOrBuilder |
getServiceAccount()
public String getServiceAccount()
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 GCP resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
Type | Description |
String | The serviceAccount. |
getServiceAccountBytes()
public ByteString getServiceAccountBytes()
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 GCP resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
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];
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];
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];
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];
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];
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;
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;
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;
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];
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];
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];
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];
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];
Type | Description |
boolean | Whether the createTime field is set. |
hasDedicatedResources()
public boolean hasDedicatedResources()
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;
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;
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];
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];
Type | Description |
boolean | Whether the error field is set. |
hasExplanationSpec()
public boolean hasExplanationSpec()
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;
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];
Type | Description |
boolean | Whether the inputConfig 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];
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;
Type | Description |
boolean | Whether the modelMonitoringConfig 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;
Type | Description |
boolean | Whether the modelParameters field is set. |
hasOutputConfig()
public boolean hasOutputConfig()
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];
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];
Type | Description |
boolean | Whether the outputInfo field is set. |
hasResourcesConsumed()
public boolean hasResourcesConsumed()
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];
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];
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;
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];
Type | Description |
boolean | Whether the updateTime field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Name | Description |
number | int |
Type | Description |
MapField |
internalGetMutableMapField(int number)
protected MapField internalGetMutableMapField(int number)
Name | Description |
number | int |
Type | Description |
MapField |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
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];
Name | Description |
value | CompletionStats |
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];
Name | Description |
value | Timestamp |
Type | Description |
BatchPredictionJob.Builder |
mergeDedicatedResources(BatchDedicatedResources value)
public BatchPredictionJob.Builder mergeDedicatedResources(BatchDedicatedResources value)
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;
Name | Description |
value | BatchDedicatedResources |
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;
Name | Description |
value | EncryptionSpec |
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];
Name | Description |
value | Timestamp |
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];
Name | Description |
value | com.google.rpc.Status |
Type | Description |
BatchPredictionJob.Builder |
mergeExplanationSpec(ExplanationSpec value)
public BatchPredictionJob.Builder mergeExplanationSpec(ExplanationSpec value)
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;
Name | Description |
value | ExplanationSpec |
Type | Description |
BatchPredictionJob.Builder |
mergeFrom(BatchPredictionJob other)
public BatchPredictionJob.Builder mergeFrom(BatchPredictionJob other)
Name | Description |
other | BatchPredictionJob |
Type | Description |
BatchPredictionJob.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public BatchPredictionJob.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
BatchPredictionJob.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public BatchPredictionJob.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
BatchPredictionJob.Builder |
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];
Name | Description |
value | BatchPredictionJob.InputConfig |
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];
Name | Description |
value | ManualBatchTuningParameters |
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;
Name | Description |
value | ModelMonitoringConfig |
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;
Name | Description |
value | Value |
Type | Description |
BatchPredictionJob.Builder |
mergeOutputConfig(BatchPredictionJob.OutputConfig value)
public BatchPredictionJob.Builder mergeOutputConfig(BatchPredictionJob.OutputConfig value)
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];
Name | Description |
value | BatchPredictionJob.OutputConfig |
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];
Name | Description |
value | BatchPredictionJob.OutputInfo |
Type | Description |
BatchPredictionJob.Builder |
mergeResourcesConsumed(ResourcesConsumed value)
public BatchPredictionJob.Builder mergeResourcesConsumed(ResourcesConsumed value)
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];
Name | Description |
value | ResourcesConsumed |
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];
Name | Description |
value | Timestamp |
Type | Description |
BatchPredictionJob.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final BatchPredictionJob.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
BatchPredictionJob.Builder |
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;
Name | Description |
value | UnmanagedContainerModel |
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];
Name | Description |
value | Timestamp |
Type | Description |
BatchPredictionJob.Builder |
putAllLabels(Map<String,String> values)
public BatchPredictionJob.Builder putAllLabels(Map<String,String> values)
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;
Name | Description |
values | Map<String,String> |
Type | Description |
BatchPredictionJob.Builder |
putLabels(String key, String value)
public BatchPredictionJob.Builder putLabels(String key, String value)
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;
Name | Description |
key | String |
value | String |
Type | Description |
BatchPredictionJob.Builder |
removeLabels(String key)
public BatchPredictionJob.Builder removeLabels(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;
Name | Description |
key | String |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
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];
Name | Description |
value | CompletionStats |
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];
Name | Description |
builderForValue | CompletionStats.Builder |
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];
Name | Description |
value | Timestamp |
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];
Name | Description |
builderForValue | Builder |
Type | Description |
BatchPredictionJob.Builder |
setDedicatedResources(BatchDedicatedResources value)
public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources value)
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;
Name | Description |
value | BatchDedicatedResources |
Type | Description |
BatchPredictionJob.Builder |
setDedicatedResources(BatchDedicatedResources.Builder builderForValue)
public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources.Builder builderForValue)
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;
Name | Description |
builderForValue | BatchDedicatedResources.Builder |
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];
Name | Description |
value | String The displayName to set. |
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];
Name | Description |
value | ByteString The bytes for displayName to set. |
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;
Name | Description |
value | EncryptionSpec |
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;
Name | Description |
builderForValue | EncryptionSpec.Builder |
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];
Name | Description |
value | Timestamp |
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];
Name | Description |
builderForValue | Builder |
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];
Name | Description |
value | com.google.rpc.Status |
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];
Name | Description |
builderForValue | com.google.rpc.Status.Builder |
Type | Description |
BatchPredictionJob.Builder |
setExplanationSpec(ExplanationSpec value)
public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec value)
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;
Name | Description |
value | ExplanationSpec |
Type | Description |
BatchPredictionJob.Builder |
setExplanationSpec(ExplanationSpec.Builder builderForValue)
public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)
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;
Name | Description |
builderForValue | ExplanationSpec.Builder |
Type | Description |
BatchPredictionJob.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public BatchPredictionJob.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
BatchPredictionJob.Builder |
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 namedexplanation
. The value is a struct that conforms to the Explanation object.jsonl
: The JSON objects on each line include an additional entry keyedexplanation
. 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;
Name | Description |
value | boolean The generateExplanation to set. |
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];
Name | Description |
value | BatchPredictionJob.InputConfig |
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];
Name | Description |
builderForValue | BatchPredictionJob.InputConfig.Builder |
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];
Name | Description |
value | ManualBatchTuningParameters |
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];
Name | Description |
builderForValue | ManualBatchTuningParameters.Builder |
Type | Description |
BatchPredictionJob.Builder |
setModel(String value)
public BatchPredictionJob.Builder setModel(String value)
The name of the Model resoure 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) = { ... }
Name | Description |
value | String The model to set. |
Type | Description |
BatchPredictionJob.Builder | This builder for chaining. |
setModelBytes(ByteString value)
public BatchPredictionJob.Builder setModelBytes(ByteString value)
The name of the Model resoure 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) = { ... }
Name | Description |
value | ByteString The bytes for model to set. |
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;
Name | Description |
value | ModelMonitoringConfig |
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;
Name | Description |
builderForValue | ModelMonitoringConfig.Builder |
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;
Name | Description |
value | Value |
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;
Name | Description |
builderForValue | Builder |
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];
Name | Description |
value | String The modelVersionId to set. |
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];
Name | Description |
value | ByteString The bytes for modelVersionId to set. |
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];
Name | Description |
value | String The name to set. |
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];
Name | Description |
value | ByteString The bytes for name to set. |
Type | Description |
BatchPredictionJob.Builder | This builder for chaining. |
setOutputConfig(BatchPredictionJob.OutputConfig value)
public BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig value)
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];
Name | Description |
value | BatchPredictionJob.OutputConfig |
Type | Description |
BatchPredictionJob.Builder |
setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue)
public BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue)
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];
Name | Description |
builderForValue | BatchPredictionJob.OutputConfig.Builder |
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];
Name | Description |
value | BatchPredictionJob.OutputInfo |
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];
Name | Description |
builderForValue | BatchPredictionJob.OutputInfo.Builder |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
value | com.google.rpc.Status |
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 GCP error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
builderForValue | com.google.rpc.Status.Builder |
Type | Description |
BatchPredictionJob.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public BatchPredictionJob.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
BatchPredictionJob.Builder |
setResourcesConsumed(ResourcesConsumed value)
public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed value)
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];
Name | Description |
value | ResourcesConsumed |
Type | Description |
BatchPredictionJob.Builder |
setResourcesConsumed(ResourcesConsumed.Builder builderForValue)
public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed.Builder builderForValue)
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];
Name | Description |
builderForValue | ResourcesConsumed.Builder |
Type | Description |
BatchPredictionJob.Builder |
setServiceAccount(String value)
public BatchPredictionJob.Builder setServiceAccount(String value)
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 GCP resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
Name | Description |
value | String The serviceAccount to set. |
Type | Description |
BatchPredictionJob.Builder | This builder for chaining. |
setServiceAccountBytes(ByteString value)
public BatchPredictionJob.Builder setServiceAccountBytes(ByteString value)
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 GCP resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
Name | Description |
value | ByteString The bytes for serviceAccount to set. |
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];
Name | Description |
value | Timestamp |
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];
Name | Description |
builderForValue | Builder |
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];
Name | Description |
value | JobState The state to set. |
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];
Name | Description |
value | int The enum numeric value on the wire for state to set. |
Type | Description |
BatchPredictionJob.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final BatchPredictionJob.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
BatchPredictionJob.Builder |
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;
Name | Description |
value | UnmanagedContainerModel |
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;
Name | Description |
builderForValue | UnmanagedContainerModel.Builder |
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];
Name | Description |
value | Timestamp |
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];
Name | Description |
builderForValue | Builder |
Type | Description |
BatchPredictionJob.Builder |