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public final class BatchPredictionJob extends GeneratedMessageV3 implements BatchPredictionJobOrBuilderA 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<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > BatchPredictionJobImplements
BatchPredictionJobOrBuilderStatic Fields
COMPLETION_STATS_FIELD_NUMBER
public static final int COMPLETION_STATS_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
CREATE_TIME_FIELD_NUMBER
public static final int CREATE_TIME_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
DEDICATED_RESOURCES_FIELD_NUMBER
public static final int DEDICATED_RESOURCES_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
DISABLE_CONTAINER_LOGGING_FIELD_NUMBER
public static final int DISABLE_CONTAINER_LOGGING_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
DISPLAY_NAME_FIELD_NUMBER
public static final int DISPLAY_NAME_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
ENCRYPTION_SPEC_FIELD_NUMBER
public static final int ENCRYPTION_SPEC_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
END_TIME_FIELD_NUMBER
public static final int END_TIME_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
ERROR_FIELD_NUMBER
public static final int ERROR_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
EXPLANATION_SPEC_FIELD_NUMBER
public static final int EXPLANATION_SPEC_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
GENERATE_EXPLANATION_FIELD_NUMBER
public static final int GENERATE_EXPLANATION_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
INPUT_CONFIG_FIELD_NUMBER
public static final int INPUT_CONFIG_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
INSTANCE_CONFIG_FIELD_NUMBER
public static final int INSTANCE_CONFIG_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
LABELS_FIELD_NUMBER
public static final int LABELS_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MANUAL_BATCH_TUNING_PARAMETERS_FIELD_NUMBER
public static final int MANUAL_BATCH_TUNING_PARAMETERS_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MODEL_FIELD_NUMBER
public static final int MODEL_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MODEL_MONITORING_CONFIG_FIELD_NUMBER
public static final int MODEL_MONITORING_CONFIG_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MODEL_MONITORING_STATS_ANOMALIES_FIELD_NUMBER
public static final int MODEL_MONITORING_STATS_ANOMALIES_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MODEL_MONITORING_STATUS_FIELD_NUMBER
public static final int MODEL_MONITORING_STATUS_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MODEL_PARAMETERS_FIELD_NUMBER
public static final int MODEL_PARAMETERS_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
MODEL_VERSION_ID_FIELD_NUMBER
public static final int MODEL_VERSION_ID_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
NAME_FIELD_NUMBER
public static final int NAME_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
OUTPUT_CONFIG_FIELD_NUMBER
public static final int OUTPUT_CONFIG_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
OUTPUT_INFO_FIELD_NUMBER
public static final int OUTPUT_INFO_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
PARTIAL_FAILURES_FIELD_NUMBER
public static final int PARTIAL_FAILURES_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
RESOURCES_CONSUMED_FIELD_NUMBER
public static final int RESOURCES_CONSUMED_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
SERVICE_ACCOUNT_FIELD_NUMBER
public static final int SERVICE_ACCOUNT_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
START_TIME_FIELD_NUMBER
public static final int START_TIME_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
STATE_FIELD_NUMBER
public static final int STATE_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
UNMANAGED_CONTAINER_MODEL_FIELD_NUMBER
public static final int UNMANAGED_CONTAINER_MODEL_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
UPDATE_TIME_FIELD_NUMBER
public static final int UPDATE_TIME_FIELD_NUMBER| Field Value | |
|---|---|
| Type | Description |
int | |
Static Methods
getDefaultInstance()
public static BatchPredictionJob getDefaultInstance()| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor | |
newBuilder()
public static BatchPredictionJob.Builder newBuilder()| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.Builder | |
newBuilder(BatchPredictionJob prototype)
public static BatchPredictionJob.Builder newBuilder(BatchPredictionJob prototype)| Parameter | |
|---|---|
| Name | Description |
prototype | BatchPredictionJob |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.Builder | |
parseDelimitedFrom(InputStream input)
public static BatchPredictionJob parseDelimitedFrom(InputStream input)| Parameter | |
|---|---|
| Name | Description |
input | InputStream |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static BatchPredictionJob parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
parseFrom(byte[] data)
public static BatchPredictionJob parseFrom(byte[] data)| Parameter | |
|---|---|
| Name | Description |
data | byte[] |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
InvalidProtocolBufferException | |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static BatchPredictionJob parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
InvalidProtocolBufferException | |
parseFrom(ByteString data)
public static BatchPredictionJob parseFrom(ByteString data)| Parameter | |
|---|---|
| Name | Description |
data | ByteString |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
InvalidProtocolBufferException | |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static BatchPredictionJob parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
InvalidProtocolBufferException | |
parseFrom(CodedInputStream input)
public static BatchPredictionJob parseFrom(CodedInputStream input)| Parameter | |
|---|---|
| Name | Description |
input | CodedInputStream |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static BatchPredictionJob parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
parseFrom(InputStream input)
public static BatchPredictionJob parseFrom(InputStream input)| Parameter | |
|---|---|
| Name | Description |
input | InputStream |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static BatchPredictionJob parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
parseFrom(ByteBuffer data)
public static BatchPredictionJob parseFrom(ByteBuffer data)| Parameter | |
|---|---|
| Name | Description |
data | ByteBuffer |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
InvalidProtocolBufferException | |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static BatchPredictionJob parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
| Exceptions | |
|---|---|
| Type | Description |
InvalidProtocolBufferException | |
parser()
public static Parser<BatchPredictionJob> parser()| Returns | |
|---|---|
| Type | Description |
Parser<BatchPredictionJob> | |
Methods
containsLabels(String key)
public boolean containsLabels(String key)The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;
| Parameter | |
|---|---|
| Name | Description |
key | String |
| Returns | |
|---|---|
| Type | Description |
boolean | |
equals(Object obj)
public boolean equals(Object obj)| Parameter | |
|---|---|
| Name | Description |
obj | Object |
| Returns | |
|---|---|
| Type | Description |
boolean | |
getCompletionStats()
public CompletionStats getCompletionStats()Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
CompletionStats | The completionStats. |
getCompletionStatsOrBuilder()
public CompletionStatsOrBuilder getCompletionStatsOrBuilder()Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
CompletionStatsOrBuilder | |
getCreateTime()
public Timestamp getCreateTime()Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
Timestamp | The createTime. |
getCreateTimeOrBuilder()
public TimestampOrBuilder getCreateTimeOrBuilder()Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
TimestampOrBuilder | |
getDedicatedResources()
public BatchDedicatedResources getDedicatedResources()The config of resources used by the Model during the batch prediction. If the Model supports DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.
.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;
| Returns | |
|---|---|
| Type | Description |
BatchDedicatedResources | The dedicatedResources. |
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;
| Returns | |
|---|---|
| Type | Description |
BatchDedicatedResourcesOrBuilder | |
getDefaultInstanceForType()
public BatchPredictionJob getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob | |
getDisableContainerLogging()
public boolean getDisableContainerLogging() For custom-trained Models and AutoML Tabular Models, the container of the
DeployedModel instances will send stderr and stdout streams to
Stackdriver Logging by default. Please note that the logs incur cost,
which are subject to Cloud Logging
pricing.
User can disable container logging by setting this flag to true.
bool disable_container_logging = 34;
| Returns | |
|---|---|
| Type | Description |
boolean | The disableContainerLogging. |
getDisplayName()
public String getDisplayName()Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String | The displayName. |
getDisplayNameBytes()
public ByteString getDisplayNameBytes()Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes for displayName. |
getEncryptionSpec()
public EncryptionSpec getEncryptionSpec()Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;
| Returns | |
|---|---|
| Type | Description |
EncryptionSpec | The encryptionSpec. |
getEncryptionSpecOrBuilder()
public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;
| Returns | |
|---|---|
| Type | Description |
EncryptionSpecOrBuilder | |
getEndTime()
public Timestamp getEndTime() Output only. Time when the BatchPredictionJob entered any of the following
states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
Timestamp | The endTime. |
getEndTimeOrBuilder()
public TimestampOrBuilder getEndTimeOrBuilder() Output only. Time when the BatchPredictionJob entered any of the following
states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
TimestampOrBuilder | |
getError()
public Status getError()Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
com.google.rpc.Status | The error. |
getErrorOrBuilder()
public StatusOrBuilder getErrorOrBuilder()Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
com.google.rpc.StatusOrBuilder | |
getExplanationSpec()
public ExplanationSpec getExplanationSpec() Explanation configuration for this BatchPredictionJob. Can be
specified only if
generate_explanation
is set to true.
This value overrides the value of
Model.explanation_spec.
All fields of
explanation_spec
are optional in the request. If a field of the
explanation_spec
object is not populated, the corresponding field of the
Model.explanation_spec
object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
| Returns | |
|---|---|
| Type | Description |
ExplanationSpec | The explanationSpec. |
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;
| Returns | |
|---|---|
| Type | Description |
ExplanationSpecOrBuilder | |
getGenerateExplanation()
public boolean getGenerateExplanation() Generate explanation with the batch prediction results.
When set to true, the batch prediction output changes based on the
predictions_format field of the
BatchPredictionJob.output_config
object:
bigquery: output includes a column 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;
| Returns | |
|---|---|
| Type | Description |
boolean | The generateExplanation. |
getInputConfig()
public BatchPredictionJob.InputConfig getInputConfig()Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.InputConfig | The inputConfig. |
getInputConfigOrBuilder()
public BatchPredictionJob.InputConfigOrBuilder getInputConfigOrBuilder()Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.InputConfigOrBuilder | |
getInstanceConfig()
public BatchPredictionJob.InstanceConfig getInstanceConfig()Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.InstanceConfig | The instanceConfig. |
getInstanceConfigOrBuilder()
public BatchPredictionJob.InstanceConfigOrBuilder getInstanceConfigOrBuilder()Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.InstanceConfigOrBuilder | |
getLabels()
public Map<String,String> getLabels()Use #getLabelsMap() instead.
| Returns | |
|---|---|
| Type | Description |
Map<String,String> | |
getLabelsCount()
public int getLabelsCount()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;
| Returns | |
|---|---|
| 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;
| Returns | |
|---|---|
| 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;
| Parameters | |
|---|---|
| Name | Description |
key | String |
defaultValue | String |
| Returns | |
|---|---|
| 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;
| Parameter | |
|---|---|
| Name | Description |
key | String |
| Returns | |
|---|---|
| Type | Description |
String | |
getManualBatchTuningParameters()
public ManualBatchTuningParameters getManualBatchTuningParameters()Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
| Returns | |
|---|---|
| Type | Description |
ManualBatchTuningParameters | The manualBatchTuningParameters. |
getManualBatchTuningParametersOrBuilder()
public ManualBatchTuningParametersOrBuilder getManualBatchTuningParametersOrBuilder()Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
| Returns | |
|---|---|
| Type | Description |
ManualBatchTuningParametersOrBuilder | |
getModel()
public String getModel() 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.
Example: projects/{project}/locations/{location}/models/{model}@2
or
projects/{project}/locations/{location}/models/{model}@golden
if no version is specified, the default version will be deployed.
string model = 3 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
String | The model. |
getModelBytes()
public ByteString getModelBytes() 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.
Example: projects/{project}/locations/{location}/models/{model}@2
or
projects/{project}/locations/{location}/models/{model}@golden
if no version is specified, the default version will be deployed.
string model = 3 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes for model. |
getModelMonitoringConfig()
public ModelMonitoringConfig getModelMonitoringConfig()Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig | The modelMonitoringConfig. |
getModelMonitoringConfigOrBuilder()
public ModelMonitoringConfigOrBuilder getModelMonitoringConfigOrBuilder()Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfigOrBuilder | |
getModelMonitoringStatsAnomalies(int index)
public ModelMonitoringStatsAnomalies getModelMonitoringStatsAnomalies(int index)Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
| Parameter | |
|---|---|
| Name | Description |
index | int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringStatsAnomalies | |
getModelMonitoringStatsAnomaliesCount()
public int getModelMonitoringStatsAnomaliesCount()Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
| Returns | |
|---|---|
| Type | Description |
int | |
getModelMonitoringStatsAnomaliesList()
public List<ModelMonitoringStatsAnomalies> getModelMonitoringStatsAnomaliesList()Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
| Returns | |
|---|---|
| Type | Description |
List<ModelMonitoringStatsAnomalies> | |
getModelMonitoringStatsAnomaliesOrBuilder(int index)
public ModelMonitoringStatsAnomaliesOrBuilder getModelMonitoringStatsAnomaliesOrBuilder(int index)Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
| Parameter | |
|---|---|
| Name | Description |
index | int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringStatsAnomaliesOrBuilder | |
getModelMonitoringStatsAnomaliesOrBuilderList()
public List<? extends ModelMonitoringStatsAnomaliesOrBuilder> getModelMonitoringStatsAnomaliesOrBuilderList()Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
| Returns | |
|---|---|
| Type | Description |
List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomaliesOrBuilder> | |
getModelMonitoringStatus()
public Status getModelMonitoringStatus()Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
com.google.rpc.Status | The modelMonitoringStatus. |
getModelMonitoringStatusOrBuilder()
public StatusOrBuilder getModelMonitoringStatusOrBuilder()Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
com.google.rpc.StatusOrBuilder | |
getModelParameters()
public Value getModelParameters()The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.
.google.protobuf.Value model_parameters = 5;
| Returns | |
|---|---|
| Type | Description |
Value | The modelParameters. |
getModelParametersOrBuilder()
public ValueOrBuilder getModelParametersOrBuilder()The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.
.google.protobuf.Value model_parameters = 5;
| Returns | |
|---|---|
| Type | Description |
ValueOrBuilder | |
getModelVersionId()
public String getModelVersionId()Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
String | The modelVersionId. |
getModelVersionIdBytes()
public ByteString getModelVersionIdBytes()Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes for modelVersionId. |
getName()
public String getName()Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
String | The name. |
getNameBytes()
public ByteString getNameBytes()Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes for name. |
getOutputConfig()
public BatchPredictionJob.OutputConfig getOutputConfig()Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of Model's PredictSchemata's instance_schema_uri and prediction_schema_uri.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.OutputConfig | The outputConfig. |
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];
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.OutputConfigOrBuilder | |
getOutputInfo()
public BatchPredictionJob.OutputInfo getOutputInfo()Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.OutputInfo | The outputInfo. |
getOutputInfoOrBuilder()
public BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.OutputInfoOrBuilder | |
getParserForType()
public Parser<BatchPredictionJob> getParserForType()| Returns | |
|---|---|
| Type | Description |
Parser<BatchPredictionJob> | |
getPartialFailures(int index)
public Status getPartialFailures(int index)Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Parameter | |
|---|---|
| Name | Description |
index | int |
| Returns | |
|---|---|
| Type | Description |
com.google.rpc.Status | |
getPartialFailuresCount()
public int getPartialFailuresCount()Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
int | |
getPartialFailuresList()
public List<Status> getPartialFailuresList()Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
List<com.google.rpc.Status> | |
getPartialFailuresOrBuilder(int index)
public StatusOrBuilder getPartialFailuresOrBuilder(int index)Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Parameter | |
|---|---|
| Name | Description |
index | int |
| Returns | |
|---|---|
| Type | Description |
com.google.rpc.StatusOrBuilder | |
getPartialFailuresOrBuilderList()
public List<? extends StatusOrBuilder> getPartialFailuresOrBuilderList()Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
List<? extends com.google.rpc.StatusOrBuilder> | |
getResourcesConsumed()
public ResourcesConsumed getResourcesConsumed()Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
ResourcesConsumed | The resourcesConsumed. |
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];
| Returns | |
|---|---|
| Type | Description |
ResourcesConsumedOrBuilder | |
getSerializedSize()
public int getSerializedSize()| Returns | |
|---|---|
| Type | Description |
int | |
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 Google Cloud resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
| Returns | |
|---|---|
| Type | Description |
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 Google Cloud resources.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
string service_account = 29;
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes for serviceAccount. |
getStartTime()
public Timestamp getStartTime() Output only. Time when the BatchPredictionJob for the first time entered
the JOB_STATE_RUNNING state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
Timestamp | The startTime. |
getStartTimeOrBuilder()
public TimestampOrBuilder getStartTimeOrBuilder() Output only. Time when the BatchPredictionJob for the first time entered
the JOB_STATE_RUNNING state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
TimestampOrBuilder | |
getState()
public JobState getState()Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
JobState | The state. |
getStateValue()
public int getStateValue()Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
int | The enum numeric value on the wire for state. |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()| Returns | |
|---|---|
| Type | Description |
UnknownFieldSet | |
getUnmanagedContainerModel()
public UnmanagedContainerModel getUnmanagedContainerModel()Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
| Returns | |
|---|---|
| Type | Description |
UnmanagedContainerModel | The unmanagedContainerModel. |
getUnmanagedContainerModelOrBuilder()
public UnmanagedContainerModelOrBuilder getUnmanagedContainerModelOrBuilder()Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
| Returns | |
|---|---|
| Type | Description |
UnmanagedContainerModelOrBuilder | |
getUpdateTime()
public Timestamp getUpdateTime()Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
Timestamp | The updateTime. |
getUpdateTimeOrBuilder()
public TimestampOrBuilder getUpdateTimeOrBuilder()Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
TimestampOrBuilder | |
hasCompletionStats()
public boolean hasCompletionStats()Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the completionStats field is set. |
hasCreateTime()
public boolean hasCreateTime()Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the createTime field is set. |
hasDedicatedResources()
public boolean hasDedicatedResources()The config of resources used by the Model during the batch prediction. If the Model supports DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.
.google.cloud.aiplatform.v1beta1.BatchDedicatedResources dedicated_resources = 7;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the dedicatedResources field is set. |
hasEncryptionSpec()
public boolean hasEncryptionSpec()Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the encryptionSpec field is set. |
hasEndTime()
public boolean hasEndTime() Output only. Time when the BatchPredictionJob entered any of the following
states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the endTime field is set. |
hasError()
public boolean hasError()Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the error field is set. |
hasExplanationSpec()
public boolean hasExplanationSpec() Explanation configuration for this BatchPredictionJob. Can be
specified only if
generate_explanation
is set to true.
This value overrides the value of
Model.explanation_spec.
All fields of
explanation_spec
are optional in the request. If a field of the
explanation_spec
object is not populated, the corresponding field of the
Model.explanation_spec
object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the explanationSpec field is set. |
hasInputConfig()
public boolean hasInputConfig()Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the inputConfig field is set. |
hasInstanceConfig()
public boolean hasInstanceConfig()Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the instanceConfig field is set. |
hasManualBatchTuningParameters()
public boolean hasManualBatchTuningParameters()Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the manualBatchTuningParameters field is set. |
hasModelMonitoringConfig()
public boolean hasModelMonitoringConfig()Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the modelMonitoringConfig field is set. |
hasModelMonitoringStatus()
public boolean hasModelMonitoringStatus()Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the modelMonitoringStatus field is set. |
hasModelParameters()
public boolean hasModelParameters()The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.
.google.protobuf.Value model_parameters = 5;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the modelParameters field is set. |
hasOutputConfig()
public boolean hasOutputConfig()Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of Model's PredictSchemata's instance_schema_uri and prediction_schema_uri.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the outputConfig field is set. |
hasOutputInfo()
public boolean hasOutputInfo()Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the outputInfo field is set. |
hasResourcesConsumed()
public boolean hasResourcesConsumed()Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the resourcesConsumed field is set. |
hasStartTime()
public boolean hasStartTime() Output only. Time when the BatchPredictionJob for the first time entered
the JOB_STATE_RUNNING state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the startTime field is set. |
hasUnmanagedContainerModel()
public boolean hasUnmanagedContainerModel()Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the unmanagedContainerModel field is set. |
hasUpdateTime()
public boolean hasUpdateTime()Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the updateTime field is set. |
hashCode()
public int hashCode()| Returns | |
|---|---|
| Type | Description |
int | |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable | |
internalGetMapField(int number)
protected MapField internalGetMapField(int number)| Parameter | |
|---|---|
| Name | Description |
number | int |
| Returns | |
|---|---|
| Type | Description |
MapField | |
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean | |
newBuilderForType()
public BatchPredictionJob.Builder newBuilderForType()| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.Builder | |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected BatchPredictionJob.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)| Parameter | |
|---|---|
| Name | Description |
parent | BuilderParent |
| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.Builder | |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)| Parameter | |
|---|---|
| Name | Description |
unused | UnusedPrivateParameter |
| Returns | |
|---|---|
| Type | Description |
Object | |
toBuilder()
public BatchPredictionJob.Builder toBuilder()| Returns | |
|---|---|
| Type | Description |
BatchPredictionJob.Builder | |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)| Parameter | |
|---|---|
| Name | Description |
output | CodedOutputStream |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |