Package com.google.cloud.aiplatform.v1
Class BatchPredictionJob.Builder
java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder
- All Implemented Interfaces:
BatchPredictionJobOrBuilder,com.google.protobuf.Message.Builder,com.google.protobuf.MessageLite.Builder,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,Cloneable
- Enclosing class:
- BatchPredictionJob
public static final class BatchPredictionJob.Builder
extends com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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-
Method Summary
Modifier and TypeMethodDescriptionaddAllPartialFailures(Iterable<? extends Status> values) Output only.addPartialFailures(int index, Status value) Output only.addPartialFailures(int index, Status.Builder builderForValue) Output only.addPartialFailures(Status value) Output only.addPartialFailures(Status.Builder builderForValue) Output only.Output only.addPartialFailuresBuilder(int index) Output only.build()clear()Output only.Output only.The config of resources used by the Model during the batch prediction.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.Required.Customer-managed encryption key options for a BatchPredictionJob.Output only.Output only.Explanation configuration for this BatchPredictionJob.Generate explanation with the batch prediction results.Required.Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.Immutable.The name of the Model resource that produces the predictions via this job, must share the same ancestor Location.The parameters that govern the predictions.Output only.Output only.Required.Output only.Output only.Output only.Output only.Output only.The service account that the DeployedModel's container runs as.Output only.Output only.Contains model information necessary to perform batch prediction without requiring uploading to model registry.Output only.booleancontainsLabels(String key) The labels with user-defined metadata to organize BatchPredictionJobs.Output only.Output only.Output only.com.google.protobuf.TimestampOutput only.com.google.protobuf.Timestamp.BuilderOutput only.com.google.protobuf.TimestampOrBuilderOutput only.The config of resources used by the Model during the batch prediction.The config of resources used by the Model during the batch prediction.The config of resources used by the Model during the batch prediction.static final com.google.protobuf.Descriptors.Descriptorcom.google.protobuf.Descriptors.DescriptorbooleanFor custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default.Required.com.google.protobuf.ByteStringRequired.Customer-managed encryption key options for a BatchPredictionJob.Customer-managed encryption key options for a BatchPredictionJob.Customer-managed encryption key options for a BatchPredictionJob.com.google.protobuf.TimestampOutput only.com.google.protobuf.Timestamp.BuilderOutput only.com.google.protobuf.TimestampOrBuilderOutput only.getError()Output only.Output only.Output only.Explanation configuration for this BatchPredictionJob.Explanation configuration for this BatchPredictionJob.Explanation configuration for this BatchPredictionJob.booleanGenerate explanation with the batch prediction results.Required.Required.Required.Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.Deprecated.intThe labels with user-defined metadata to organize BatchPredictionJobs.The labels with user-defined metadata to organize BatchPredictionJobs.getLabelsOrDefault(String key, String defaultValue) The labels with user-defined metadata to organize BatchPredictionJobs.getLabelsOrThrow(String key) The labels with user-defined metadata to organize BatchPredictionJobs.Immutable.Immutable.Immutable.getModel()The name of the Model resource that produces the predictions via this job, must share the same ancestor Location.com.google.protobuf.ByteStringThe name of the Model resource that produces the predictions via this job, must share the same ancestor Location.com.google.protobuf.ValueThe parameters that govern the predictions.com.google.protobuf.Value.BuilderThe parameters that govern the predictions.com.google.protobuf.ValueOrBuilderThe parameters that govern the predictions.Output only.com.google.protobuf.ByteStringOutput only.Deprecated.getName()Output only.com.google.protobuf.ByteStringOutput only.Required.Required.Required.Output only.Output only.Output only.getPartialFailures(int index) Output only.getPartialFailuresBuilder(int index) Output only.Output only.intOutput only.Output only.getPartialFailuresOrBuilder(int index) Output only.List<? extends StatusOrBuilder>Output only.Output only.Output only.Output only.booleanOutput only.booleanOutput only.The service account that the DeployedModel's container runs as.com.google.protobuf.ByteStringThe service account that the DeployedModel's container runs as.com.google.protobuf.TimestampOutput only.com.google.protobuf.Timestamp.BuilderOutput only.com.google.protobuf.TimestampOrBuilderOutput only.getState()Output only.intOutput only.Contains model information necessary to perform batch prediction without requiring uploading to model registry.Contains model information necessary to perform batch prediction without requiring uploading to model registry.Contains model information necessary to perform batch prediction without requiring uploading to model registry.com.google.protobuf.TimestampOutput only.com.google.protobuf.Timestamp.BuilderOutput only.com.google.protobuf.TimestampOrBuilderOutput only.booleanOutput only.booleanOutput only.booleanThe config of resources used by the Model during the batch prediction.booleanCustomer-managed encryption key options for a BatchPredictionJob.booleanOutput only.booleanhasError()Output only.booleanExplanation configuration for this BatchPredictionJob.booleanRequired.booleanConfiguration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.booleanImmutable.booleanThe parameters that govern the predictions.booleanRequired.booleanOutput only.booleanOutput only.booleanOutput only.booleanContains model information necessary to perform batch prediction without requiring uploading to model registry.booleanOutput only.protected com.google.protobuf.GeneratedMessage.FieldAccessorTableprotected com.google.protobuf.MapFieldReflectionAccessorinternalGetMapFieldReflection(int number) protected com.google.protobuf.MapFieldReflectionAccessorinternalGetMutableMapFieldReflection(int number) final booleanOutput only.mergeCreateTime(com.google.protobuf.Timestamp value) Output only.The config of resources used by the Model during the batch prediction.Customer-managed encryption key options for a BatchPredictionJob.mergeEndTime(com.google.protobuf.Timestamp value) Output only.mergeError(Status value) Output only.Explanation configuration for this BatchPredictionJob.mergeFrom(BatchPredictionJob other) mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) mergeFrom(com.google.protobuf.Message other) Required.Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.Immutable.mergeModelParameters(com.google.protobuf.Value value) The parameters that govern the predictions.Required.Output only.Output only.mergeStartTime(com.google.protobuf.Timestamp value) Output only.Contains model information necessary to perform batch prediction without requiring uploading to model registry.mergeUpdateTime(com.google.protobuf.Timestamp value) Output only.putAllLabels(Map<String, String> values) The labels with user-defined metadata to organize BatchPredictionJobs.The labels with user-defined metadata to organize BatchPredictionJobs.removeLabels(String key) The labels with user-defined metadata to organize BatchPredictionJobs.removePartialFailures(int index) Output only.Output only.setCompletionStats(CompletionStats.Builder builderForValue) Output only.setCreateTime(com.google.protobuf.Timestamp value) Output only.setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.The config of resources used by the Model during the batch prediction.setDedicatedResources(BatchDedicatedResources.Builder builderForValue) The config of resources used by the Model during the batch prediction.setDisableContainerLogging(boolean value) 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.setDisplayName(String value) Required.setDisplayNameBytes(com.google.protobuf.ByteString value) Required.setEncryptionSpec(EncryptionSpec value) Customer-managed encryption key options for a BatchPredictionJob.setEncryptionSpec(EncryptionSpec.Builder builderForValue) Customer-managed encryption key options for a BatchPredictionJob.setEndTime(com.google.protobuf.Timestamp value) Output only.setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.Output only.setError(Status.Builder builderForValue) Output only.Explanation configuration for this BatchPredictionJob.setExplanationSpec(ExplanationSpec.Builder builderForValue) Explanation configuration for this BatchPredictionJob.setGenerateExplanation(boolean value) Generate explanation with the batch prediction results.Required.setInputConfig(BatchPredictionJob.InputConfig.Builder builderForValue) Required.Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.setInstanceConfig(BatchPredictionJob.InstanceConfig.Builder builderForValue) Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.Immutable.setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue) Immutable.The name of the Model resource that produces the predictions via this job, must share the same ancestor Location.setModelBytes(com.google.protobuf.ByteString value) The name of the Model resource that produces the predictions via this job, must share the same ancestor Location.setModelParameters(com.google.protobuf.Value value) The parameters that govern the predictions.setModelParameters(com.google.protobuf.Value.Builder builderForValue) The parameters that govern the predictions.setModelVersionId(String value) Output only.setModelVersionIdBytes(com.google.protobuf.ByteString value) Output only.Output only.setNameBytes(com.google.protobuf.ByteString value) Output only.Required.setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue) Required.Output only.setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue) Output only.setPartialFailures(int index, Status value) Output only.setPartialFailures(int index, Status.Builder builderForValue) Output only.Output only.setResourcesConsumed(ResourcesConsumed.Builder builderForValue) Output only.setSatisfiesPzi(boolean value) Output only.setSatisfiesPzs(boolean value) Output only.setServiceAccount(String value) The service account that the DeployedModel's container runs as.setServiceAccountBytes(com.google.protobuf.ByteString value) The service account that the DeployedModel's container runs as.setStartTime(com.google.protobuf.Timestamp value) Output only.setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.Output only.setStateValue(int value) Output only.Contains model information necessary to perform batch prediction without requiring uploading to model registry.setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue) Contains model information necessary to perform batch prediction without requiring uploading to model registry.setUpdateTime(com.google.protobuf.Timestamp value) Output only.setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.Methods inherited from class com.google.protobuf.GeneratedMessage.Builder
addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringMethods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionMethods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFromMethods inherited from interface com.google.protobuf.MessageLite.Builder
mergeFromMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetMapFieldReflection
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number) - Overrides:
internalGetMapFieldReflectionin classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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internalGetMutableMapFieldReflection
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number) - Overrides:
internalGetMutableMapFieldReflectionin classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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clear
- Specified by:
clearin interfacecom.google.protobuf.Message.Builder- Specified by:
clearin interfacecom.google.protobuf.MessageLite.Builder- Overrides:
clearin classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()- Specified by:
getDescriptorForTypein interfacecom.google.protobuf.Message.Builder- Specified by:
getDescriptorForTypein interfacecom.google.protobuf.MessageOrBuilder- Overrides:
getDescriptorForTypein classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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build
- Specified by:
buildin interfacecom.google.protobuf.Message.Builder- Specified by:
buildin interfacecom.google.protobuf.MessageLite.Builder
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buildPartial
- Specified by:
buildPartialin interfacecom.google.protobuf.Message.Builder- Specified by:
buildPartialin interfacecom.google.protobuf.MessageLite.Builder
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mergeFrom
- Specified by:
mergeFromin interfacecom.google.protobuf.Message.Builder- Overrides:
mergeFromin classcom.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.Builder>
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mergeFrom
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isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
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mergeFrom
public BatchPredictionJob.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Specified by:
mergeFromin interfacecom.google.protobuf.Message.Builder- Specified by:
mergeFromin interfacecom.google.protobuf.MessageLite.Builder- Overrides:
mergeFromin classcom.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.Builder>- Throws:
IOException
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getName
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getNamein interfaceBatchPredictionJobOrBuilder- Returns:
- The name.
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getNameBytes
public com.google.protobuf.ByteString getNameBytes()Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getNameBytesin interfaceBatchPredictionJobOrBuilder- Returns:
- The bytes for name.
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setName
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];- Parameters:
value- The name to set.- Returns:
- This builder for chaining.
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clearName
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];- Returns:
- This builder for chaining.
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setNameBytes
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];- Parameters:
value- The bytes for name to set.- Returns:
- This builder for chaining.
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getDisplayName
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];- Specified by:
getDisplayNamein interfaceBatchPredictionJobOrBuilder- Returns:
- The displayName.
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getDisplayNameBytes
public com.google.protobuf.ByteString getDisplayNameBytes()Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];- Specified by:
getDisplayNameBytesin interfaceBatchPredictionJobOrBuilder- Returns:
- The bytes for displayName.
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setDisplayName
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];- Parameters:
value- The displayName to set.- Returns:
- This builder for chaining.
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clearDisplayName
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];- Returns:
- This builder for chaining.
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setDisplayNameBytes
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];- Parameters:
value- The bytes for displayName to set.- Returns:
- This builder for chaining.
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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) = { ... }- Specified by:
getModelin interfaceBatchPredictionJobOrBuilder- Returns:
- The model.
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getModelBytes
public 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) = { ... }- Specified by:
getModelBytesin interfaceBatchPredictionJobOrBuilder- Returns:
- The bytes for model.
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setModel
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) = { ... }- Parameters:
value- The model to set.- Returns:
- This builder for chaining.
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clearModel
The name of the Model resource that produces the predictions via this job, must share the same ancestor Location. Starting this job has no impact on any existing deployments of the Model and their resources. Exactly one of model and unmanaged_container_model must be set. The model resource name may contain version id or version alias to specify the version. 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) = { ... }- Returns:
- This builder for chaining.
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setModelBytes
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) = { ... }- Parameters:
value- The bytes for model to set.- Returns:
- This builder for chaining.
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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];- Specified by:
getModelVersionIdin interfaceBatchPredictionJobOrBuilder- Returns:
- The modelVersionId.
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getModelVersionIdBytes
public 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];- Specified by:
getModelVersionIdBytesin interfaceBatchPredictionJobOrBuilder- Returns:
- The bytes for modelVersionId.
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setModelVersionId
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];- Parameters:
value- The modelVersionId to set.- Returns:
- This builder for chaining.
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clearModelVersionId
Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];- Returns:
- This builder for chaining.
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setModelVersionIdBytes
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];- Parameters:
value- The bytes for modelVersionId to set.- Returns:
- This builder for chaining.
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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.v1.UnmanagedContainerModel unmanaged_container_model = 28;- Specified by:
hasUnmanagedContainerModelin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the unmanagedContainerModel field is set.
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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;- Specified by:
getUnmanagedContainerModelin interfaceBatchPredictionJobOrBuilder- Returns:
- The unmanagedContainerModel.
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setUnmanagedContainerModel
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; -
setUnmanagedContainerModel
public BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue) Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28; -
mergeUnmanagedContainerModel
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; -
clearUnmanagedContainerModel
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28; -
getUnmanagedContainerModelBuilder
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28; -
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;- Specified by:
getUnmanagedContainerModelOrBuilderin interfaceBatchPredictionJobOrBuilder
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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][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];- Specified by:
hasInputConfigin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the inputConfig field is set.
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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];- Specified by:
getInputConfigin interfaceBatchPredictionJobOrBuilder- Returns:
- The inputConfig.
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setInputConfig
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]; -
setInputConfig
public BatchPredictionJob.Builder setInputConfig(BatchPredictionJob.InputConfig.Builder builderForValue) Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][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]; -
mergeInputConfig
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]; -
clearInputConfig
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][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]; -
getInputConfigBuilder
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][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
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];- Specified by:
getInputConfigOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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.v1.BatchPredictionJob.InstanceConfig instance_config = 27;- Specified by:
hasInstanceConfigin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the instanceConfig field is set.
-
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;- Specified by:
getInstanceConfigin interfaceBatchPredictionJobOrBuilder- Returns:
- The instanceConfig.
-
setInstanceConfig
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; -
setInstanceConfig
public BatchPredictionJob.Builder setInstanceConfig(BatchPredictionJob.InstanceConfig.Builder builderForValue) Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27; -
mergeInstanceConfig
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; -
clearInstanceConfig
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; -
getInstanceConfigBuilder
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
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;- Specified by:
getInstanceConfigOrBuilderin interfaceBatchPredictionJobOrBuilder
-
hasModelParameters
public 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;- Specified by:
hasModelParametersin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the modelParameters field is set.
-
getModelParameters
public 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;- Specified by:
getModelParametersin interfaceBatchPredictionJobOrBuilder- Returns:
- The modelParameters.
-
setModelParameters
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; -
setModelParameters
public BatchPredictionJob.Builder setModelParameters(com.google.protobuf.Value.Builder builderForValue) 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; -
mergeModelParameters
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; -
clearModelParameters
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; -
getModelParametersBuilder
public com.google.protobuf.Value.Builder getModelParametersBuilder()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
public 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;- Specified by:
getModelParametersOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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][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];- Specified by:
hasOutputConfigin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the outputConfig field is set.
-
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];- Specified by:
getOutputConfigin interfaceBatchPredictionJobOrBuilder- Returns:
- The outputConfig.
-
setOutputConfig
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]; -
setOutputConfig
public BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue) Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][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]; -
mergeOutputConfig
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]; -
clearOutputConfig
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][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]; -
getOutputConfigBuilder
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][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
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];- Specified by:
getOutputConfigOrBuilderin interfaceBatchPredictionJobOrBuilder
-
hasDedicatedResources
public 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;- Specified by:
hasDedicatedResourcesin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the dedicatedResources field is set.
-
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;- Specified by:
getDedicatedResourcesin interfaceBatchPredictionJobOrBuilder- Returns:
- The dedicatedResources.
-
setDedicatedResources
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; -
setDedicatedResources
public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources.Builder builderForValue) 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; -
mergeDedicatedResources
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; -
clearDedicatedResources
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; -
getDedicatedResourcesBuilder
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
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;- Specified by:
getDedicatedResourcesOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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;- Specified by:
getServiceAccountin interfaceBatchPredictionJobOrBuilder- Returns:
- The serviceAccount.
-
getServiceAccountBytes
public 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;- Specified by:
getServiceAccountBytesin interfaceBatchPredictionJobOrBuilder- Returns:
- The bytes for serviceAccount.
-
setServiceAccount
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;- Parameters:
value- The serviceAccount to set.- Returns:
- This builder for chaining.
-
clearServiceAccount
The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 29;- Returns:
- This builder for chaining.
-
setServiceAccountBytes
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;- Parameters:
value- The bytes for serviceAccount to set.- Returns:
- This builder for chaining.
-
hasManualBatchTuningParameters
public 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];- Specified by:
hasManualBatchTuningParametersin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the manualBatchTuningParameters field is set.
-
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];- Specified by:
getManualBatchTuningParametersin interfaceBatchPredictionJobOrBuilder- Returns:
- The manualBatchTuningParameters.
-
setManualBatchTuningParameters
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]; -
setManualBatchTuningParameters
public BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue) 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]; -
mergeManualBatchTuningParameters
public BatchPredictionJob.Builder mergeManualBatchTuningParameters(ManualBatchTuningParameters value) 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]; -
clearManualBatchTuningParameters
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]; -
getManualBatchTuningParametersBuilder
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
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];- Specified by:
getManualBatchTuningParametersOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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][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;- Specified by:
getGenerateExplanationin interfaceBatchPredictionJobOrBuilder- Returns:
- The generateExplanation.
-
setGenerateExplanation
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;- Parameters:
value- The generateExplanation to set.- Returns:
- This builder for chaining.
-
clearGenerateExplanation
Generate explanation with the batch prediction results. When set to `true`, the batch prediction output changes based on the `predictions_format` field of the [BatchPredictionJob.output_config][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;- Returns:
- This builder for chaining.
-
hasExplanationSpec
public 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;- Specified by:
hasExplanationSpecin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the explanationSpec field is set.
-
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;- Specified by:
getExplanationSpecin interfaceBatchPredictionJobOrBuilder- Returns:
- The explanationSpec.
-
setExplanationSpec
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; -
setExplanationSpec
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; -
mergeExplanationSpec
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; -
clearExplanationSpec
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; -
getExplanationSpecBuilder
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
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;- Specified by:
getExplanationSpecOrBuilderin interfaceBatchPredictionJobOrBuilder
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hasOutputInfo
public 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];- Specified by:
hasOutputInfoin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the outputInfo field is set.
-
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];- Specified by:
getOutputInfoin interfaceBatchPredictionJobOrBuilder- Returns:
- The outputInfo.
-
setOutputInfo
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]; -
setOutputInfo
public BatchPredictionJob.Builder setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue) 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]; -
mergeOutputInfo
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]; -
clearOutputInfo
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]; -
getOutputInfoBuilder
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
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];- Specified by:
getOutputInfoOrBuilderin interfaceBatchPredictionJobOrBuilder
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getStateValue
public int getStateValue()Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getStateValuein interfaceBatchPredictionJobOrBuilder- Returns:
- The enum numeric value on the wire for state.
-
setStateValue
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];- Parameters:
value- The enum numeric value on the wire for state to set.- Returns:
- This builder for chaining.
-
getState
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getStatein interfaceBatchPredictionJobOrBuilder- Returns:
- The state.
-
setState
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];- Parameters:
value- The state to set.- Returns:
- This builder for chaining.
-
clearState
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];- Returns:
- This builder for chaining.
-
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];- Specified by:
hasErrorin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the error field is set.
-
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];- Specified by:
getErrorin interfaceBatchPredictionJobOrBuilder- Returns:
- The error.
-
setError
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]; -
setError
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]; -
mergeError
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]; -
clearError
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getErrorBuilder
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
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];- Specified by:
getErrorOrBuilderin interfaceBatchPredictionJobOrBuilder
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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];- Specified by:
getPartialFailuresListin interfaceBatchPredictionJobOrBuilder
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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];- Specified by:
getPartialFailuresCountin interfaceBatchPredictionJobOrBuilder
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getPartialFailures
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];- Specified by:
getPartialFailuresin interfaceBatchPredictionJobOrBuilder
-
setPartialFailures
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]; -
setPartialFailures
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]; -
addPartialFailures
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]; -
addPartialFailures
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]; -
addPartialFailures
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]; -
addPartialFailures
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]; -
addAllPartialFailures
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]; -
clearPartialFailures
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
removePartialFailures
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]; -
getPartialFailuresBuilder
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
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];- Specified by:
getPartialFailuresOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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];- Specified by:
getPartialFailuresOrBuilderListin interfaceBatchPredictionJobOrBuilder
-
addPartialFailuresBuilder
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
addPartialFailuresBuilder
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getPartialFailuresBuilderList
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
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.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
hasResourcesConsumedin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the resourcesConsumed field is set.
-
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];- Specified by:
getResourcesConsumedin interfaceBatchPredictionJobOrBuilder- Returns:
- The resourcesConsumed.
-
setResourcesConsumed
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]; -
setResourcesConsumed
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]; -
mergeResourcesConsumed
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]; -
clearResourcesConsumed
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getResourcesConsumedBuilder
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
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];- Specified by:
getResourcesConsumedOrBuilderin interfaceBatchPredictionJobOrBuilder
-
hasCompletionStats
public 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];- Specified by:
hasCompletionStatsin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the completionStats field is set.
-
getCompletionStats
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getCompletionStatsin interfaceBatchPredictionJobOrBuilder- Returns:
- The completionStats.
-
setCompletionStats
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
setCompletionStats
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
mergeCompletionStats
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
clearCompletionStats
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getCompletionStatsBuilder
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getCompletionStatsOrBuilder
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getCompletionStatsOrBuilderin interfaceBatchPredictionJobOrBuilder
-
hasCreateTime
public boolean hasCreateTime()Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
hasCreateTimein interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the createTime field is set.
-
getCreateTime
public 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];- Specified by:
getCreateTimein interfaceBatchPredictionJobOrBuilder- Returns:
- The createTime.
-
setCreateTime
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
setCreateTime
public BatchPredictionJob.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
mergeCreateTime
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
clearCreateTime
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getCreateTimeBuilder
public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getCreateTimeOrBuilder
public 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];- Specified by:
getCreateTimeOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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];- Specified by:
hasStartTimein interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the startTime field is set.
-
getStartTime
public 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];- Specified by:
getStartTimein interfaceBatchPredictionJobOrBuilder- Returns:
- The startTime.
-
setStartTime
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]; -
setStartTime
public BatchPredictionJob.Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
mergeStartTime
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]; -
clearStartTime
Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getStartTimeBuilder
public com.google.protobuf.Timestamp.Builder getStartTimeBuilder()Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getStartTimeOrBuilder
public 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];- Specified by:
getStartTimeOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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];- Specified by:
hasEndTimein interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the endTime field is set.
-
getEndTime
public 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];- Specified by:
getEndTimein interfaceBatchPredictionJobOrBuilder- Returns:
- The endTime.
-
setEndTime
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]; -
setEndTime
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]; -
mergeEndTime
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]; -
clearEndTime
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getEndTimeBuilder
public com.google.protobuf.Timestamp.Builder getEndTimeBuilder()Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getEndTimeOrBuilder
public 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];- Specified by:
getEndTimeOrBuilderin interfaceBatchPredictionJobOrBuilder
-
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];- Specified by:
hasUpdateTimein interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the updateTime field is set.
-
getUpdateTime
public 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];- Specified by:
getUpdateTimein interfaceBatchPredictionJobOrBuilder- Returns:
- The updateTime.
-
setUpdateTime
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
setUpdateTime
public BatchPredictionJob.Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
mergeUpdateTime
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
clearUpdateTime
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getUpdateTimeBuilder
public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder()Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY]; -
getUpdateTimeOrBuilder
public 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];- Specified by:
getUpdateTimeOrBuilderin interfaceBatchPredictionJobOrBuilder
-
getLabelsCount
public int getLabelsCount()Description copied from interface: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;- Specified by:
getLabelsCountin interfaceBatchPredictionJobOrBuilder
-
containsLabels
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;- Specified by:
containsLabelsin interfaceBatchPredictionJobOrBuilder
-
getLabels
Deprecated.UsegetLabelsMap()instead.- Specified by:
getLabelsin interfaceBatchPredictionJobOrBuilder
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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;- Specified by:
getLabelsMapin interfaceBatchPredictionJobOrBuilder
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getLabelsOrDefault
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;- Specified by:
getLabelsOrDefaultin interfaceBatchPredictionJobOrBuilder
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getLabelsOrThrow
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;- Specified by:
getLabelsOrThrowin interfaceBatchPredictionJobOrBuilder
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clearLabels
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removeLabels
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; -
getMutableLabels
Deprecated.Use alternate mutation accessors instead. -
putLabels
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; -
putAllLabels
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; -
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.v1.EncryptionSpec encryption_spec = 24;- Specified by:
hasEncryptionSpecin interfaceBatchPredictionJobOrBuilder- Returns:
- Whether the encryptionSpec field is set.
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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;- Specified by:
getEncryptionSpecin interfaceBatchPredictionJobOrBuilder- Returns:
- The encryptionSpec.
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setEncryptionSpec
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; -
setEncryptionSpec
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; -
mergeEncryptionSpec
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; -
clearEncryptionSpec
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24; -
getEncryptionSpecBuilder
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24; -
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;- Specified by:
getEncryptionSpecOrBuilderin interfaceBatchPredictionJobOrBuilder
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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 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;- Specified by:
getDisableContainerLoggingin interfaceBatchPredictionJobOrBuilder- Returns:
- The disableContainerLogging.
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setDisableContainerLogging
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;- Parameters:
value- The disableContainerLogging to set.- Returns:
- This builder for chaining.
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clearDisableContainerLogging
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;- Returns:
- This builder for chaining.
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getSatisfiesPzs
public boolean getSatisfiesPzs()Output only. Reserved for future use.
bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getSatisfiesPzsin interfaceBatchPredictionJobOrBuilder- Returns:
- The satisfiesPzs.
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setSatisfiesPzs
Output only. Reserved for future use.
bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];- Parameters:
value- The satisfiesPzs to set.- Returns:
- This builder for chaining.
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clearSatisfiesPzs
Output only. Reserved for future use.
bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];- Returns:
- This builder for chaining.
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getSatisfiesPzi
public boolean getSatisfiesPzi()Output only. Reserved for future use.
bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];- Specified by:
getSatisfiesPziin interfaceBatchPredictionJobOrBuilder- Returns:
- The satisfiesPzi.
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setSatisfiesPzi
Output only. Reserved for future use.
bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];- Parameters:
value- The satisfiesPzi to set.- Returns:
- This builder for chaining.
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clearSatisfiesPzi
Output only. Reserved for future use.
bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];- Returns:
- This builder for chaining.
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