public final class BatchPredictionJob extends com.google.protobuf.GeneratedMessageV3 implements BatchPredictionJobOrBuilder
A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. 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.v1.BatchPredictionJob| Modifier and Type | Class and Description |
|---|---|
static class |
BatchPredictionJob.Builder
A job that uses a
[Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
predictions on multiple [input
instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
|
static class |
BatchPredictionJob.InputConfig
Configures the input to
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
static interface |
BatchPredictionJob.InputConfigOrBuilder |
static class |
BatchPredictionJob.InstanceConfig
Configuration defining how to transform batch prediction input instances to
the instances that the Model accepts.
|
static interface |
BatchPredictionJob.InstanceConfigOrBuilder |
static class |
BatchPredictionJob.OutputConfig
Configures the output of
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
static interface |
BatchPredictionJob.OutputConfigOrBuilder |
static class |
BatchPredictionJob.OutputInfo
Further describes this job's output.
|
static interface |
BatchPredictionJob.OutputInfoOrBuilder |
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Method and Description |
|---|---|
boolean |
containsLabels(String key)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
boolean |
equals(Object obj) |
CompletionStats |
getCompletionStats()
Output only.
|
CompletionStatsOrBuilder |
getCompletionStatsOrBuilder()
Output only.
|
com.google.protobuf.Timestamp |
getCreateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Output only.
|
BatchDedicatedResources |
getDedicatedResources()
The config of resources used by the Model during the batch prediction.
|
BatchDedicatedResourcesOrBuilder |
getDedicatedResourcesOrBuilder()
The config of resources used by the Model during the batch prediction.
|
static BatchPredictionJob |
getDefaultInstance() |
BatchPredictionJob |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
boolean |
getDisableContainerLogging()
For custom-trained Models and AutoML Tabular Models, the container of the
DeployedModel instances will send `stderr` and `stdout` streams to
Cloud Logging by default.
|
String |
getDisplayName()
Required.
|
com.google.protobuf.ByteString |
getDisplayNameBytes()
Required.
|
EncryptionSpec |
getEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob.
|
EncryptionSpecOrBuilder |
getEncryptionSpecOrBuilder()
Customer-managed encryption key options for a BatchPredictionJob.
|
com.google.protobuf.Timestamp |
getEndTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getEndTimeOrBuilder()
Output only.
|
com.google.rpc.Status |
getError()
Output only.
|
com.google.rpc.StatusOrBuilder |
getErrorOrBuilder()
Output only.
|
ExplanationSpec |
getExplanationSpec()
Explanation configuration for this BatchPredictionJob.
|
ExplanationSpecOrBuilder |
getExplanationSpecOrBuilder()
Explanation configuration for this BatchPredictionJob.
|
boolean |
getGenerateExplanation()
Generate explanation with the batch prediction results.
|
BatchPredictionJob.InputConfig |
getInputConfig()
Required.
|
BatchPredictionJob.InputConfigOrBuilder |
getInputConfigOrBuilder()
Required.
|
BatchPredictionJob.InstanceConfig |
getInstanceConfig()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
BatchPredictionJob.InstanceConfigOrBuilder |
getInstanceConfigOrBuilder()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
Map<String,String> |
getLabels()
Deprecated.
|
int |
getLabelsCount()
The labels with user-defined metadata to organize BatchPredictionJobs.
|
Map<String,String> |
getLabelsMap()
The labels with user-defined metadata to organize BatchPredictionJobs.
|
String |
getLabelsOrDefault(String key,
String defaultValue)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
String |
getLabelsOrThrow(String key)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
ManualBatchTuningParameters |
getManualBatchTuningParameters()
Immutable.
|
ManualBatchTuningParametersOrBuilder |
getManualBatchTuningParametersOrBuilder()
Immutable.
|
String |
getModel()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
|
com.google.protobuf.ByteString |
getModelBytes()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
|
com.google.protobuf.Value |
getModelParameters()
The parameters that govern the predictions.
|
com.google.protobuf.ValueOrBuilder |
getModelParametersOrBuilder()
The parameters that govern the predictions.
|
String |
getModelVersionId()
Output only.
|
com.google.protobuf.ByteString |
getModelVersionIdBytes()
Output only.
|
String |
getName()
Output only.
|
com.google.protobuf.ByteString |
getNameBytes()
Output only.
|
BatchPredictionJob.OutputConfig |
getOutputConfig()
Required.
|
BatchPredictionJob.OutputConfigOrBuilder |
getOutputConfigOrBuilder()
Required.
|
BatchPredictionJob.OutputInfo |
getOutputInfo()
Output only.
|
BatchPredictionJob.OutputInfoOrBuilder |
getOutputInfoOrBuilder()
Output only.
|
com.google.protobuf.Parser<BatchPredictionJob> |
getParserForType() |
com.google.rpc.Status |
getPartialFailures(int index)
Output only.
|
int |
getPartialFailuresCount()
Output only.
|
List<com.google.rpc.Status> |
getPartialFailuresList()
Output only.
|
com.google.rpc.StatusOrBuilder |
getPartialFailuresOrBuilder(int index)
Output only.
|
List<? extends com.google.rpc.StatusOrBuilder> |
getPartialFailuresOrBuilderList()
Output only.
|
ResourcesConsumed |
getResourcesConsumed()
Output only.
|
ResourcesConsumedOrBuilder |
getResourcesConsumedOrBuilder()
Output only.
|
int |
getSerializedSize() |
String |
getServiceAccount()
The service account that the DeployedModel's container runs as.
|
com.google.protobuf.ByteString |
getServiceAccountBytes()
The service account that the DeployedModel's container runs as.
|
com.google.protobuf.Timestamp |
getStartTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getStartTimeOrBuilder()
Output only.
|
JobState |
getState()
Output only.
|
int |
getStateValue()
Output only.
|
UnmanagedContainerModel |
getUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
UnmanagedContainerModelOrBuilder |
getUnmanagedContainerModelOrBuilder()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
com.google.protobuf.Timestamp |
getUpdateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getUpdateTimeOrBuilder()
Output only.
|
boolean |
hasCompletionStats()
Output only.
|
boolean |
hasCreateTime()
Output only.
|
boolean |
hasDedicatedResources()
The config of resources used by the Model during the batch prediction.
|
boolean |
hasEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob.
|
boolean |
hasEndTime()
Output only.
|
boolean |
hasError()
Output only.
|
boolean |
hasExplanationSpec()
Explanation configuration for this BatchPredictionJob.
|
int |
hashCode() |
boolean |
hasInputConfig()
Required.
|
boolean |
hasInstanceConfig()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
boolean |
hasManualBatchTuningParameters()
Immutable.
|
boolean |
hasModelParameters()
The parameters that govern the predictions.
|
boolean |
hasOutputConfig()
Required.
|
boolean |
hasOutputInfo()
Output only.
|
boolean |
hasResourcesConsumed()
Output only.
|
boolean |
hasStartTime()
Output only.
|
boolean |
hasUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
boolean |
hasUpdateTime()
Output only.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapFieldReflectionAccessor |
internalGetMapFieldReflection(int number) |
boolean |
isInitialized() |
static BatchPredictionJob.Builder |
newBuilder() |
static BatchPredictionJob.Builder |
newBuilder(BatchPredictionJob prototype) |
BatchPredictionJob.Builder |
newBuilderForType() |
protected BatchPredictionJob.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static BatchPredictionJob |
parseDelimitedFrom(InputStream input) |
static BatchPredictionJob |
parseDelimitedFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictionJob |
parseFrom(byte[] data) |
static BatchPredictionJob |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictionJob |
parseFrom(ByteBuffer data) |
static BatchPredictionJob |
parseFrom(ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictionJob |
parseFrom(com.google.protobuf.ByteString data) |
static BatchPredictionJob |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictionJob |
parseFrom(com.google.protobuf.CodedInputStream input) |
static BatchPredictionJob |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BatchPredictionJob |
parseFrom(InputStream input) |
static BatchPredictionJob |
parseFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<BatchPredictionJob> |
parser() |
BatchPredictionJob.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int NAME_FIELD_NUMBER
public static final int DISPLAY_NAME_FIELD_NUMBER
public static final int MODEL_FIELD_NUMBER
public static final int MODEL_VERSION_ID_FIELD_NUMBER
public static final int UNMANAGED_CONTAINER_MODEL_FIELD_NUMBER
public static final int INPUT_CONFIG_FIELD_NUMBER
public static final int INSTANCE_CONFIG_FIELD_NUMBER
public static final int MODEL_PARAMETERS_FIELD_NUMBER
public static final int OUTPUT_CONFIG_FIELD_NUMBER
public static final int DEDICATED_RESOURCES_FIELD_NUMBER
public static final int SERVICE_ACCOUNT_FIELD_NUMBER
public static final int MANUAL_BATCH_TUNING_PARAMETERS_FIELD_NUMBER
public static final int GENERATE_EXPLANATION_FIELD_NUMBER
public static final int EXPLANATION_SPEC_FIELD_NUMBER
public static final int OUTPUT_INFO_FIELD_NUMBER
public static final int STATE_FIELD_NUMBER
public static final int ERROR_FIELD_NUMBER
public static final int PARTIAL_FAILURES_FIELD_NUMBER
public static final int RESOURCES_CONSUMED_FIELD_NUMBER
public static final int COMPLETION_STATS_FIELD_NUMBER
public static final int CREATE_TIME_FIELD_NUMBER
public static final int START_TIME_FIELD_NUMBER
public static final int END_TIME_FIELD_NUMBER
public static final int UPDATE_TIME_FIELD_NUMBER
public static final int LABELS_FIELD_NUMBER
public static final int ENCRYPTION_SPEC_FIELD_NUMBER
public static final int DISABLE_CONTAINER_LOGGING_FIELD_NUMBER
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class com.google.protobuf.GeneratedMessageV3public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3public String getName()
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getName in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getNameBytes in interface BatchPredictionJobOrBuilderpublic String getDisplayName()
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];getDisplayName in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getDisplayNameBytes()
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];getDisplayNameBytes in interface BatchPredictionJobOrBuilderpublic 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.
The model resource could also be a publisher model.
Example: `publishers/{publisher}/models/{model}`
or
`projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
string model = 3 [(.google.api.resource_reference) = { ... }getModel in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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.
The model resource could also be a publisher model.
Example: `publishers/{publisher}/models/{model}`
or
`projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
string model = 3 [(.google.api.resource_reference) = { ... }getModelBytes in interface BatchPredictionJobOrBuilderpublic 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];getModelVersionId in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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];getModelVersionIdBytes in interface BatchPredictionJobOrBuilderpublic boolean hasUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
hasUnmanagedContainerModel in interface BatchPredictionJobOrBuilderpublic UnmanagedContainerModel getUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
getUnmanagedContainerModel in interface BatchPredictionJobOrBuilderpublic UnmanagedContainerModelOrBuilder getUnmanagedContainerModelOrBuilder()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
getUnmanagedContainerModelOrBuilder in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
hasInputConfig in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
getInputConfig in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
getInputConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasInstanceConfig()
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
hasInstanceConfig in interface BatchPredictionJobOrBuilderpublic 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.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
getInstanceConfig in interface BatchPredictionJobOrBuilderpublic 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.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
getInstanceConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasModelParameters()
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;hasModelParameters in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Value getModelParameters()
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;getModelParameters in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder()
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;getModelParametersOrBuilder in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
hasOutputConfig in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
getOutputConfig in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
getOutputConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasDedicatedResources()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types] DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.
.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;hasDedicatedResources in interface BatchPredictionJobOrBuilderpublic BatchDedicatedResources getDedicatedResources()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types] DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.
.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;getDedicatedResources in interface BatchPredictionJobOrBuilderpublic BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types] DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.
.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;getDedicatedResourcesOrBuilder in interface BatchPredictionJobOrBuilderpublic 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;getServiceAccount in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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;getServiceAccountBytes in interface BatchPredictionJobOrBuilderpublic boolean hasManualBatchTuningParameters()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
hasManualBatchTuningParameters in interface BatchPredictionJobOrBuilderpublic ManualBatchTuningParameters getManualBatchTuningParameters()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
getManualBatchTuningParameters in interface BatchPredictionJobOrBuilderpublic ManualBatchTuningParametersOrBuilder getManualBatchTuningParametersOrBuilder()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
getManualBatchTuningParametersOrBuilder in interface BatchPredictionJobOrBuilderpublic 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][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
object:
* `bigquery`: output includes a column named `explanation`. The value
is a struct that conforms to the
[Explanation][google.cloud.aiplatform.v1.Explanation] object.
* `jsonl`: The JSON objects on each line include an additional entry
keyed `explanation`. The value of the entry is a JSON object that
conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
object.
* `csv`: Generating explanations for CSV format is not supported.
If this field is set to true, either the
[Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
or
[explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
must be populated.
bool generate_explanation = 23;getGenerateExplanation in interface BatchPredictionJobOrBuilderpublic boolean hasExplanationSpec()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;hasExplanationSpec in interface BatchPredictionJobOrBuilderpublic ExplanationSpec getExplanationSpec()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;getExplanationSpec in interface BatchPredictionJobOrBuilderpublic ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;getExplanationSpecOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasOutputInfo()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasOutputInfo in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.OutputInfo getOutputInfo()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getOutputInfo in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getOutputInfoOrBuilder in interface BatchPredictionJobOrBuilderpublic int getStateValue()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
getStateValue in interface BatchPredictionJobOrBuilderpublic JobState getState()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
getState in interface BatchPredictionJobOrBuilderpublic 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];hasError in interface BatchPredictionJobOrBuilderpublic com.google.rpc.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];getError in interface BatchPredictionJobOrBuilderpublic com.google.rpc.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];getErrorOrBuilder in interface BatchPredictionJobOrBuilderpublic List<com.google.rpc.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];
getPartialFailuresList in interface BatchPredictionJobOrBuilderpublic List<? extends com.google.rpc.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];
getPartialFailuresOrBuilderList in interface BatchPredictionJobOrBuilderpublic 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];
getPartialFailuresCount in interface BatchPredictionJobOrBuilderpublic com.google.rpc.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];
getPartialFailures in interface BatchPredictionJobOrBuilderpublic com.google.rpc.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];
getPartialFailuresOrBuilder in interface BatchPredictionJobOrBuilderpublic 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.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasResourcesConsumed in interface BatchPredictionJobOrBuilderpublic ResourcesConsumed getResourcesConsumed()
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
getResourcesConsumed in interface BatchPredictionJobOrBuilderpublic 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.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
getResourcesConsumedOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasCompletionStats()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCompletionStats in interface BatchPredictionJobOrBuilderpublic CompletionStats getCompletionStats()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCompletionStats in interface BatchPredictionJobOrBuilderpublic CompletionStatsOrBuilder getCompletionStatsOrBuilder()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCompletionStatsOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasCreateTime()
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCreateTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic 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];
hasStartTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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];
getStartTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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];
getStartTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic 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];
hasEndTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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];
getEndTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.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];
getEndTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasUpdateTime()
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasUpdateTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Timestamp getUpdateTime()
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
getUpdateTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
getUpdateTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic int getLabelsCount()
BatchPredictionJobOrBuilderThe 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;getLabelsCount in interface BatchPredictionJobOrBuilderpublic 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;containsLabels in interface BatchPredictionJobOrBuilder@Deprecated public Map<String,String> getLabels()
getLabelsMap() instead.getLabels in interface BatchPredictionJobOrBuilderpublic 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;getLabelsMap in interface BatchPredictionJobOrBuilderpublic 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;getLabelsOrDefault in interface BatchPredictionJobOrBuilderpublic 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;getLabelsOrThrow in interface BatchPredictionJobOrBuilderpublic boolean hasEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;hasEncryptionSpec in interface BatchPredictionJobOrBuilderpublic EncryptionSpec getEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;getEncryptionSpec in interface BatchPredictionJobOrBuilderpublic EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;getEncryptionSpecOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean getDisableContainerLogging()
For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default. Please note that the logs incur cost, which are subject to [Cloud Logging pricing](https://cloud.google.com/logging/pricing). User can disable container logging by setting this flag to true.
bool disable_container_logging = 34;getDisableContainerLogging in interface BatchPredictionJobOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3public void writeTo(com.google.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface com.google.protobuf.MessageLitewriteTo in class com.google.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.google.protobuf.MessageLitegetSerializedSize in class com.google.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface com.google.protobuf.Messageequals in class com.google.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface com.google.protobuf.MessagehashCode in class com.google.protobuf.AbstractMessagepublic static BatchPredictionJob parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictionJob parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictionJob parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictionJob parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictionJob parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictionJob parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static BatchPredictionJob parseFrom(InputStream input) throws IOException
IOExceptionpublic static BatchPredictionJob parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static BatchPredictionJob parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static BatchPredictionJob parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static BatchPredictionJob parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static BatchPredictionJob parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic BatchPredictionJob.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static BatchPredictionJob.Builder newBuilder()
public static BatchPredictionJob.Builder newBuilder(BatchPredictionJob prototype)
public BatchPredictionJob.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected BatchPredictionJob.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static BatchPredictionJob getDefaultInstance()
public static com.google.protobuf.Parser<BatchPredictionJob> parser()
public com.google.protobuf.Parser<BatchPredictionJob> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public BatchPredictionJob getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderCopyright © 2024 Google LLC. All rights reserved.