public static final class BatchPredictionJob.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder> implements BatchPredictionJobOrBuilder
A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob| Modifier and Type | Method and Description |
|---|---|
BatchPredictionJob.Builder |
addAllModelMonitoringStatsAnomalies(Iterable<? extends ModelMonitoringStatsAnomalies> values)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
addAllPartialFailures(Iterable<? extends com.google.rpc.Status> values)
Output only.
|
BatchPredictionJob.Builder |
addModelMonitoringStatsAnomalies(int index,
ModelMonitoringStatsAnomalies.Builder builderForValue)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
addModelMonitoringStatsAnomalies(int index,
ModelMonitoringStatsAnomalies value)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies.Builder builderForValue)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies value)
Get batch prediction job monitoring statistics.
|
ModelMonitoringStatsAnomalies.Builder |
addModelMonitoringStatsAnomaliesBuilder()
Get batch prediction job monitoring statistics.
|
ModelMonitoringStatsAnomalies.Builder |
addModelMonitoringStatsAnomaliesBuilder(int index)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
addPartialFailures(int index,
com.google.rpc.Status.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
addPartialFailures(int index,
com.google.rpc.Status value)
Output only.
|
BatchPredictionJob.Builder |
addPartialFailures(com.google.rpc.Status.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
addPartialFailures(com.google.rpc.Status value)
Output only.
|
com.google.rpc.Status.Builder |
addPartialFailuresBuilder()
Output only.
|
com.google.rpc.Status.Builder |
addPartialFailuresBuilder(int index)
Output only.
|
BatchPredictionJob.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
BatchPredictionJob |
build() |
BatchPredictionJob |
buildPartial() |
BatchPredictionJob.Builder |
clear() |
BatchPredictionJob.Builder |
clearCompletionStats()
Output only.
|
BatchPredictionJob.Builder |
clearCreateTime()
Output only.
|
BatchPredictionJob.Builder |
clearDedicatedResources()
The config of resources used by the Model during the batch prediction.
|
BatchPredictionJob.Builder |
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.
|
BatchPredictionJob.Builder |
clearDisplayName()
Required.
|
BatchPredictionJob.Builder |
clearEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob.
|
BatchPredictionJob.Builder |
clearEndTime()
Output only.
|
BatchPredictionJob.Builder |
clearError()
Output only.
|
BatchPredictionJob.Builder |
clearExplanationSpec()
Explanation configuration for this BatchPredictionJob.
|
BatchPredictionJob.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
BatchPredictionJob.Builder |
clearGenerateExplanation()
Generate explanation with the batch prediction results.
|
BatchPredictionJob.Builder |
clearInputConfig()
Required.
|
BatchPredictionJob.Builder |
clearInstanceConfig()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
BatchPredictionJob.Builder |
clearLabels() |
BatchPredictionJob.Builder |
clearManualBatchTuningParameters()
Immutable.
|
BatchPredictionJob.Builder |
clearModel()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
|
BatchPredictionJob.Builder |
clearModelMonitoringConfig()
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
BatchPredictionJob.Builder |
clearModelMonitoringStatsAnomalies()
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
clearModelMonitoringStatus()
Output only.
|
BatchPredictionJob.Builder |
clearModelParameters()
The parameters that govern the predictions.
|
BatchPredictionJob.Builder |
clearModelVersionId()
Output only.
|
BatchPredictionJob.Builder |
clearName()
Output only.
|
BatchPredictionJob.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
BatchPredictionJob.Builder |
clearOutputConfig()
Required.
|
BatchPredictionJob.Builder |
clearOutputInfo()
Output only.
|
BatchPredictionJob.Builder |
clearPartialFailures()
Output only.
|
BatchPredictionJob.Builder |
clearResourcesConsumed()
Output only.
|
BatchPredictionJob.Builder |
clearSatisfiesPzi()
Output only.
|
BatchPredictionJob.Builder |
clearSatisfiesPzs()
Output only.
|
BatchPredictionJob.Builder |
clearServiceAccount()
The service account that the DeployedModel's container runs as.
|
BatchPredictionJob.Builder |
clearStartTime()
Output only.
|
BatchPredictionJob.Builder |
clearState()
Output only.
|
BatchPredictionJob.Builder |
clearUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
BatchPredictionJob.Builder |
clearUpdateTime()
Output only.
|
BatchPredictionJob.Builder |
clone() |
boolean |
containsLabels(String key)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
CompletionStats |
getCompletionStats()
Output only.
|
CompletionStats.Builder |
getCompletionStatsBuilder()
Output only.
|
CompletionStatsOrBuilder |
getCompletionStatsOrBuilder()
Output only.
|
com.google.protobuf.Timestamp |
getCreateTime()
Output only.
|
com.google.protobuf.Timestamp.Builder |
getCreateTimeBuilder()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Output only.
|
BatchDedicatedResources |
getDedicatedResources()
The config of resources used by the Model during the batch prediction.
|
BatchDedicatedResources.Builder |
getDedicatedResourcesBuilder()
The config of resources used by the Model during the batch prediction.
|
BatchDedicatedResourcesOrBuilder |
getDedicatedResourcesOrBuilder()
The config of resources used by the Model during the batch prediction.
|
BatchPredictionJob |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
boolean |
getDisableContainerLogging()
For custom-trained Models and AutoML Tabular Models, the container of the
DeployedModel instances will send `stderr` and `stdout` streams to
Cloud Logging by default.
|
String |
getDisplayName()
Required.
|
com.google.protobuf.ByteString |
getDisplayNameBytes()
Required.
|
EncryptionSpec |
getEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob.
|
EncryptionSpec.Builder |
getEncryptionSpecBuilder()
Customer-managed encryption key options for a BatchPredictionJob.
|
EncryptionSpecOrBuilder |
getEncryptionSpecOrBuilder()
Customer-managed encryption key options for a BatchPredictionJob.
|
com.google.protobuf.Timestamp |
getEndTime()
Output only.
|
com.google.protobuf.Timestamp.Builder |
getEndTimeBuilder()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getEndTimeOrBuilder()
Output only.
|
com.google.rpc.Status |
getError()
Output only.
|
com.google.rpc.Status.Builder |
getErrorBuilder()
Output only.
|
com.google.rpc.StatusOrBuilder |
getErrorOrBuilder()
Output only.
|
ExplanationSpec |
getExplanationSpec()
Explanation configuration for this BatchPredictionJob.
|
ExplanationSpec.Builder |
getExplanationSpecBuilder()
Explanation configuration for this BatchPredictionJob.
|
ExplanationSpecOrBuilder |
getExplanationSpecOrBuilder()
Explanation configuration for this BatchPredictionJob.
|
boolean |
getGenerateExplanation()
Generate explanation with the batch prediction results.
|
BatchPredictionJob.InputConfig |
getInputConfig()
Required.
|
BatchPredictionJob.InputConfig.Builder |
getInputConfigBuilder()
Required.
|
BatchPredictionJob.InputConfigOrBuilder |
getInputConfigOrBuilder()
Required.
|
BatchPredictionJob.InstanceConfig |
getInstanceConfig()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
BatchPredictionJob.InstanceConfig.Builder |
getInstanceConfigBuilder()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
BatchPredictionJob.InstanceConfigOrBuilder |
getInstanceConfigOrBuilder()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
Map<String,String> |
getLabels()
Deprecated.
|
int |
getLabelsCount()
The labels with user-defined metadata to organize BatchPredictionJobs.
|
Map<String,String> |
getLabelsMap()
The labels with user-defined metadata to organize BatchPredictionJobs.
|
String |
getLabelsOrDefault(String key,
String defaultValue)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
String |
getLabelsOrThrow(String key)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
ManualBatchTuningParameters |
getManualBatchTuningParameters()
Immutable.
|
ManualBatchTuningParameters.Builder |
getManualBatchTuningParametersBuilder()
Immutable.
|
ManualBatchTuningParametersOrBuilder |
getManualBatchTuningParametersOrBuilder()
Immutable.
|
String |
getModel()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
|
com.google.protobuf.ByteString |
getModelBytes()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
|
ModelMonitoringConfig |
getModelMonitoringConfig()
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
ModelMonitoringConfig.Builder |
getModelMonitoringConfigBuilder()
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
ModelMonitoringConfigOrBuilder |
getModelMonitoringConfigOrBuilder()
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
ModelMonitoringStatsAnomalies |
getModelMonitoringStatsAnomalies(int index)
Get batch prediction job monitoring statistics.
|
ModelMonitoringStatsAnomalies.Builder |
getModelMonitoringStatsAnomaliesBuilder(int index)
Get batch prediction job monitoring statistics.
|
List<ModelMonitoringStatsAnomalies.Builder> |
getModelMonitoringStatsAnomaliesBuilderList()
Get batch prediction job monitoring statistics.
|
int |
getModelMonitoringStatsAnomaliesCount()
Get batch prediction job monitoring statistics.
|
List<ModelMonitoringStatsAnomalies> |
getModelMonitoringStatsAnomaliesList()
Get batch prediction job monitoring statistics.
|
ModelMonitoringStatsAnomaliesOrBuilder |
getModelMonitoringStatsAnomaliesOrBuilder(int index)
Get batch prediction job monitoring statistics.
|
List<? extends ModelMonitoringStatsAnomaliesOrBuilder> |
getModelMonitoringStatsAnomaliesOrBuilderList()
Get batch prediction job monitoring statistics.
|
com.google.rpc.Status |
getModelMonitoringStatus()
Output only.
|
com.google.rpc.Status.Builder |
getModelMonitoringStatusBuilder()
Output only.
|
com.google.rpc.StatusOrBuilder |
getModelMonitoringStatusOrBuilder()
Output only.
|
com.google.protobuf.Value |
getModelParameters()
The parameters that govern the predictions.
|
com.google.protobuf.Value.Builder |
getModelParametersBuilder()
The parameters that govern the predictions.
|
com.google.protobuf.ValueOrBuilder |
getModelParametersOrBuilder()
The parameters that govern the predictions.
|
String |
getModelVersionId()
Output only.
|
com.google.protobuf.ByteString |
getModelVersionIdBytes()
Output only.
|
Map<String,String> |
getMutableLabels()
Deprecated.
|
String |
getName()
Output only.
|
com.google.protobuf.ByteString |
getNameBytes()
Output only.
|
BatchPredictionJob.OutputConfig |
getOutputConfig()
Required.
|
BatchPredictionJob.OutputConfig.Builder |
getOutputConfigBuilder()
Required.
|
BatchPredictionJob.OutputConfigOrBuilder |
getOutputConfigOrBuilder()
Required.
|
BatchPredictionJob.OutputInfo |
getOutputInfo()
Output only.
|
BatchPredictionJob.OutputInfo.Builder |
getOutputInfoBuilder()
Output only.
|
BatchPredictionJob.OutputInfoOrBuilder |
getOutputInfoOrBuilder()
Output only.
|
com.google.rpc.Status |
getPartialFailures(int index)
Output only.
|
com.google.rpc.Status.Builder |
getPartialFailuresBuilder(int index)
Output only.
|
List<com.google.rpc.Status.Builder> |
getPartialFailuresBuilderList()
Output only.
|
int |
getPartialFailuresCount()
Output only.
|
List<com.google.rpc.Status> |
getPartialFailuresList()
Output only.
|
com.google.rpc.StatusOrBuilder |
getPartialFailuresOrBuilder(int index)
Output only.
|
List<? extends com.google.rpc.StatusOrBuilder> |
getPartialFailuresOrBuilderList()
Output only.
|
ResourcesConsumed |
getResourcesConsumed()
Output only.
|
ResourcesConsumed.Builder |
getResourcesConsumedBuilder()
Output only.
|
ResourcesConsumedOrBuilder |
getResourcesConsumedOrBuilder()
Output only.
|
boolean |
getSatisfiesPzi()
Output only.
|
boolean |
getSatisfiesPzs()
Output only.
|
String |
getServiceAccount()
The service account that the DeployedModel's container runs as.
|
com.google.protobuf.ByteString |
getServiceAccountBytes()
The service account that the DeployedModel's container runs as.
|
com.google.protobuf.Timestamp |
getStartTime()
Output only.
|
com.google.protobuf.Timestamp.Builder |
getStartTimeBuilder()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getStartTimeOrBuilder()
Output only.
|
JobState |
getState()
Output only.
|
int |
getStateValue()
Output only.
|
UnmanagedContainerModel |
getUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
UnmanagedContainerModel.Builder |
getUnmanagedContainerModelBuilder()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
UnmanagedContainerModelOrBuilder |
getUnmanagedContainerModelOrBuilder()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
com.google.protobuf.Timestamp |
getUpdateTime()
Output only.
|
com.google.protobuf.Timestamp.Builder |
getUpdateTimeBuilder()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getUpdateTimeOrBuilder()
Output only.
|
boolean |
hasCompletionStats()
Output only.
|
boolean |
hasCreateTime()
Output only.
|
boolean |
hasDedicatedResources()
The config of resources used by the Model during the batch prediction.
|
boolean |
hasEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob.
|
boolean |
hasEndTime()
Output only.
|
boolean |
hasError()
Output only.
|
boolean |
hasExplanationSpec()
Explanation configuration for this BatchPredictionJob.
|
boolean |
hasInputConfig()
Required.
|
boolean |
hasInstanceConfig()
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
boolean |
hasManualBatchTuningParameters()
Immutable.
|
boolean |
hasModelMonitoringConfig()
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
boolean |
hasModelMonitoringStatus()
Output only.
|
boolean |
hasModelParameters()
The parameters that govern the predictions.
|
boolean |
hasOutputConfig()
Required.
|
boolean |
hasOutputInfo()
Output only.
|
boolean |
hasResourcesConsumed()
Output only.
|
boolean |
hasStartTime()
Output only.
|
boolean |
hasUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
boolean |
hasUpdateTime()
Output only.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapFieldReflectionAccessor |
internalGetMapFieldReflection(int number) |
protected com.google.protobuf.MapFieldReflectionAccessor |
internalGetMutableMapFieldReflection(int number) |
boolean |
isInitialized() |
BatchPredictionJob.Builder |
mergeCompletionStats(CompletionStats value)
Output only.
|
BatchPredictionJob.Builder |
mergeCreateTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
mergeDedicatedResources(BatchDedicatedResources value)
The config of resources used by the Model during the batch prediction.
|
BatchPredictionJob.Builder |
mergeEncryptionSpec(EncryptionSpec value)
Customer-managed encryption key options for a BatchPredictionJob.
|
BatchPredictionJob.Builder |
mergeEndTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
mergeError(com.google.rpc.Status value)
Output only.
|
BatchPredictionJob.Builder |
mergeExplanationSpec(ExplanationSpec value)
Explanation configuration for this BatchPredictionJob.
|
BatchPredictionJob.Builder |
mergeFrom(BatchPredictionJob other) |
BatchPredictionJob.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
BatchPredictionJob.Builder |
mergeFrom(com.google.protobuf.Message other) |
BatchPredictionJob.Builder |
mergeInputConfig(BatchPredictionJob.InputConfig value)
Required.
|
BatchPredictionJob.Builder |
mergeInstanceConfig(BatchPredictionJob.InstanceConfig value)
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
BatchPredictionJob.Builder |
mergeManualBatchTuningParameters(ManualBatchTuningParameters value)
Immutable.
|
BatchPredictionJob.Builder |
mergeModelMonitoringConfig(ModelMonitoringConfig value)
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
BatchPredictionJob.Builder |
mergeModelMonitoringStatus(com.google.rpc.Status value)
Output only.
|
BatchPredictionJob.Builder |
mergeModelParameters(com.google.protobuf.Value value)
The parameters that govern the predictions.
|
BatchPredictionJob.Builder |
mergeOutputConfig(BatchPredictionJob.OutputConfig value)
Required.
|
BatchPredictionJob.Builder |
mergeOutputInfo(BatchPredictionJob.OutputInfo value)
Output only.
|
BatchPredictionJob.Builder |
mergeResourcesConsumed(ResourcesConsumed value)
Output only.
|
BatchPredictionJob.Builder |
mergeStartTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
BatchPredictionJob.Builder |
mergeUnmanagedContainerModel(UnmanagedContainerModel value)
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
BatchPredictionJob.Builder |
mergeUpdateTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
putAllLabels(Map<String,String> values)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
BatchPredictionJob.Builder |
putLabels(String key,
String value)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
BatchPredictionJob.Builder |
removeLabels(String key)
The labels with user-defined metadata to organize BatchPredictionJobs.
|
BatchPredictionJob.Builder |
removeModelMonitoringStatsAnomalies(int index)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
removePartialFailures(int index)
Output only.
|
BatchPredictionJob.Builder |
setCompletionStats(CompletionStats.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setCompletionStats(CompletionStats value)
Output only.
|
BatchPredictionJob.Builder |
setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setCreateTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
setDedicatedResources(BatchDedicatedResources.Builder builderForValue)
The config of resources used by the Model during the batch prediction.
|
BatchPredictionJob.Builder |
setDedicatedResources(BatchDedicatedResources value)
The config of resources used by the Model during the batch prediction.
|
BatchPredictionJob.Builder |
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.
|
BatchPredictionJob.Builder |
setDisplayName(String value)
Required.
|
BatchPredictionJob.Builder |
setDisplayNameBytes(com.google.protobuf.ByteString value)
Required.
|
BatchPredictionJob.Builder |
setEncryptionSpec(EncryptionSpec.Builder builderForValue)
Customer-managed encryption key options for a BatchPredictionJob.
|
BatchPredictionJob.Builder |
setEncryptionSpec(EncryptionSpec value)
Customer-managed encryption key options for a BatchPredictionJob.
|
BatchPredictionJob.Builder |
setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setEndTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
setError(com.google.rpc.Status.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setError(com.google.rpc.Status value)
Output only.
|
BatchPredictionJob.Builder |
setExplanationSpec(ExplanationSpec.Builder builderForValue)
Explanation configuration for this BatchPredictionJob.
|
BatchPredictionJob.Builder |
setExplanationSpec(ExplanationSpec value)
Explanation configuration for this BatchPredictionJob.
|
BatchPredictionJob.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
BatchPredictionJob.Builder |
setGenerateExplanation(boolean value)
Generate explanation with the batch prediction results.
|
BatchPredictionJob.Builder |
setInputConfig(BatchPredictionJob.InputConfig.Builder builderForValue)
Required.
|
BatchPredictionJob.Builder |
setInputConfig(BatchPredictionJob.InputConfig value)
Required.
|
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.
|
BatchPredictionJob.Builder |
setInstanceConfig(BatchPredictionJob.InstanceConfig value)
Configuration for how to convert batch prediction input instances to the
prediction instances that are sent to the Model.
|
BatchPredictionJob.Builder |
setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue)
Immutable.
|
BatchPredictionJob.Builder |
setManualBatchTuningParameters(ManualBatchTuningParameters value)
Immutable.
|
BatchPredictionJob.Builder |
setModel(String value)
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
|
BatchPredictionJob.Builder |
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.
|
BatchPredictionJob.Builder |
setModelMonitoringConfig(ModelMonitoringConfig.Builder builderForValue)
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
BatchPredictionJob.Builder |
setModelMonitoringConfig(ModelMonitoringConfig value)
Model monitoring config will be used for analysis model behaviors, based on
the input and output to the batch prediction job, as well as the provided
training dataset.
|
BatchPredictionJob.Builder |
setModelMonitoringStatsAnomalies(int index,
ModelMonitoringStatsAnomalies.Builder builderForValue)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
setModelMonitoringStatsAnomalies(int index,
ModelMonitoringStatsAnomalies value)
Get batch prediction job monitoring statistics.
|
BatchPredictionJob.Builder |
setModelMonitoringStatus(com.google.rpc.Status.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setModelMonitoringStatus(com.google.rpc.Status value)
Output only.
|
BatchPredictionJob.Builder |
setModelParameters(com.google.protobuf.Value.Builder builderForValue)
The parameters that govern the predictions.
|
BatchPredictionJob.Builder |
setModelParameters(com.google.protobuf.Value value)
The parameters that govern the predictions.
|
BatchPredictionJob.Builder |
setModelVersionId(String value)
Output only.
|
BatchPredictionJob.Builder |
setModelVersionIdBytes(com.google.protobuf.ByteString value)
Output only.
|
BatchPredictionJob.Builder |
setName(String value)
Output only.
|
BatchPredictionJob.Builder |
setNameBytes(com.google.protobuf.ByteString value)
Output only.
|
BatchPredictionJob.Builder |
setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue)
Required.
|
BatchPredictionJob.Builder |
setOutputConfig(BatchPredictionJob.OutputConfig value)
Required.
|
BatchPredictionJob.Builder |
setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setOutputInfo(BatchPredictionJob.OutputInfo value)
Output only.
|
BatchPredictionJob.Builder |
setPartialFailures(int index,
com.google.rpc.Status.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setPartialFailures(int index,
com.google.rpc.Status value)
Output only.
|
BatchPredictionJob.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
BatchPredictionJob.Builder |
setResourcesConsumed(ResourcesConsumed.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setResourcesConsumed(ResourcesConsumed value)
Output only.
|
BatchPredictionJob.Builder |
setSatisfiesPzi(boolean value)
Output only.
|
BatchPredictionJob.Builder |
setSatisfiesPzs(boolean value)
Output only.
|
BatchPredictionJob.Builder |
setServiceAccount(String value)
The service account that the DeployedModel's container runs as.
|
BatchPredictionJob.Builder |
setServiceAccountBytes(com.google.protobuf.ByteString value)
The service account that the DeployedModel's container runs as.
|
BatchPredictionJob.Builder |
setStartTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setStartTime(com.google.protobuf.Timestamp value)
Output only.
|
BatchPredictionJob.Builder |
setState(JobState value)
Output only.
|
BatchPredictionJob.Builder |
setStateValue(int value)
Output only.
|
BatchPredictionJob.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
BatchPredictionJob.Builder |
setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue)
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
BatchPredictionJob.Builder |
setUnmanagedContainerModel(UnmanagedContainerModel value)
Contains model information necessary to perform batch prediction without
requiring uploading to model registry.
|
BatchPredictionJob.Builder |
setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only.
|
BatchPredictionJob.Builder |
setUpdateTime(com.google.protobuf.Timestamp value)
Output only.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic BatchPredictionJob build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic BatchPredictionJob buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic BatchPredictionJob.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder mergeFrom(BatchPredictionJob other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public BatchPredictionJob.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.Builder>IOExceptionpublic String getName()
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getName in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getNameBytes in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setName(String value)
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The name to set.public BatchPredictionJob.Builder clearName()
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];public BatchPredictionJob.Builder setNameBytes(com.google.protobuf.ByteString value)
Output only. Resource name of the BatchPredictionJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The bytes for name to set.public String getDisplayName()
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];getDisplayName in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getDisplayNameBytes()
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];getDisplayNameBytes in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setDisplayName(String value)
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];value - The displayName to set.public BatchPredictionJob.Builder clearDisplayName()
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];public BatchPredictionJob.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)
Required. The user-defined name of this BatchPredictionJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];value - The bytes for displayName to set.public String getModel()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
Starting this job has no impact on any existing deployments of the Model
and their resources.
Exactly one of model and unmanaged_container_model must be set.
The model resource name may contain version id or version alias to specify
the version.
Example: `projects/{project}/locations/{location}/models/{model}@2`
or
`projects/{project}/locations/{location}/models/{model}@golden`
if no version is specified, the default version will be deployed.
The model resource could also be a publisher model.
Example: `publishers/{publisher}/models/{model}`
or
`projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
string model = 3 [(.google.api.resource_reference) = { ... }getModel in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getModelBytes()
The name of the Model resource that produces the predictions via this job,
must share the same ancestor Location.
Starting this job has no impact on any existing deployments of the Model
and their resources.
Exactly one of model and unmanaged_container_model must be set.
The model resource name may contain version id or version alias to specify
the version.
Example: `projects/{project}/locations/{location}/models/{model}@2`
or
`projects/{project}/locations/{location}/models/{model}@golden`
if no version is specified, the default version will be deployed.
The model resource could also be a publisher model.
Example: `publishers/{publisher}/models/{model}`
or
`projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
string model = 3 [(.google.api.resource_reference) = { ... }getModelBytes in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setModel(String value)
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) = { ... }value - The model to set.public BatchPredictionJob.Builder 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) = { ... }public BatchPredictionJob.Builder 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.
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) = { ... }value - The bytes for model to set.public String getModelVersionId()
Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];getModelVersionId in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getModelVersionIdBytes()
Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];getModelVersionIdBytes in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setModelVersionId(String value)
Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The modelVersionId to set.public BatchPredictionJob.Builder clearModelVersionId()
Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];public BatchPredictionJob.Builder setModelVersionIdBytes(com.google.protobuf.ByteString value)
Output only. The version ID of the Model that produces the predictions via this job.
string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The bytes for modelVersionId to set.public boolean hasUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
hasUnmanagedContainerModel in interface BatchPredictionJobOrBuilderpublic UnmanagedContainerModel getUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
getUnmanagedContainerModel in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel value)
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
public BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue)
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
public BatchPredictionJob.Builder mergeUnmanagedContainerModel(UnmanagedContainerModel value)
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
public BatchPredictionJob.Builder clearUnmanagedContainerModel()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
public UnmanagedContainerModel.Builder getUnmanagedContainerModelBuilder()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
public UnmanagedContainerModelOrBuilder getUnmanagedContainerModelOrBuilder()
Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel unmanaged_container_model = 28;
getUnmanagedContainerModelOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasInputConfig()
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
hasInputConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.InputConfig getInputConfig()
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
getInputConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setInputConfig(BatchPredictionJob.InputConfig value)
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
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.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.Builder mergeInputConfig(BatchPredictionJob.InputConfig value)
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.Builder clearInputConfig()
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.InputConfig.Builder getInputConfigBuilder()
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.InputConfigOrBuilder getInputConfigOrBuilder()
Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
getInputConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasInstanceConfig()
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
hasInstanceConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.InstanceConfig getInstanceConfig()
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
getInstanceConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setInstanceConfig(BatchPredictionJob.InstanceConfig value)
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
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.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
public BatchPredictionJob.Builder mergeInstanceConfig(BatchPredictionJob.InstanceConfig value)
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
public BatchPredictionJob.Builder clearInstanceConfig()
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
public BatchPredictionJob.InstanceConfig.Builder getInstanceConfigBuilder()
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
public BatchPredictionJob.InstanceConfigOrBuilder getInstanceConfigOrBuilder()
Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
getInstanceConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasModelParameters()
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;hasModelParameters in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Value getModelParameters()
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;getModelParameters in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setModelParameters(com.google.protobuf.Value value)
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;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.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;public BatchPredictionJob.Builder mergeModelParameters(com.google.protobuf.Value value)
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;public BatchPredictionJob.Builder clearModelParameters()
The parameters that govern the predictions. The schema of the parameters may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;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.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;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.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value model_parameters = 5;getModelParametersOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasOutputConfig()
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
hasOutputConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.OutputConfig getOutputConfig()
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
getOutputConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig value)
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
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.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.Builder mergeOutputConfig(BatchPredictionJob.OutputConfig value)
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.Builder clearOutputConfig()
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.OutputConfig.Builder getOutputConfigBuilder()
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictionJob.OutputConfigOrBuilder getOutputConfigOrBuilder()
Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
getOutputConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasDedicatedResources()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
hasDedicatedResources in interface BatchPredictionJobOrBuilderpublic BatchDedicatedResources getDedicatedResources()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
getDedicatedResources in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources value)
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
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.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
public BatchPredictionJob.Builder mergeDedicatedResources(BatchDedicatedResources value)
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
public BatchPredictionJob.Builder clearDedicatedResources()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
public BatchDedicatedResources.Builder getDedicatedResourcesBuilder()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
public BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
The config of resources used by the Model during the batch prediction. If the Model [supports][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchDedicatedResources dedicated_resources = 7;
getDedicatedResourcesOrBuilder in interface BatchPredictionJobOrBuilderpublic String getServiceAccount()
The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 29;getServiceAccount in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.ByteString getServiceAccountBytes()
The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 29;getServiceAccountBytes in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setServiceAccount(String value)
The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 29;value - The serviceAccount to set.public BatchPredictionJob.Builder clearServiceAccount()
The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 29;public BatchPredictionJob.Builder setServiceAccountBytes(com.google.protobuf.ByteString value)
The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 29;value - The bytes for serviceAccount to set.public boolean hasManualBatchTuningParameters()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
hasManualBatchTuningParameters in interface BatchPredictionJobOrBuilderpublic ManualBatchTuningParameters getManualBatchTuningParameters()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
getManualBatchTuningParameters in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters value)
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
public BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue)
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
public BatchPredictionJob.Builder mergeManualBatchTuningParameters(ManualBatchTuningParameters value)
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
public BatchPredictionJob.Builder clearManualBatchTuningParameters()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
public ManualBatchTuningParameters.Builder getManualBatchTuningParametersBuilder()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
public ManualBatchTuningParametersOrBuilder getManualBatchTuningParametersOrBuilder()
Immutable. Parameters configuring the batch behavior. Currently only applicable when [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does the tuning itself).
.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
getManualBatchTuningParametersOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean getGenerateExplanation()
Generate explanation with the batch prediction results.
When set to `true`, the batch prediction output changes based on the
`predictions_format` field of the
[BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
object:
* `bigquery`: output includes a column named `explanation`. The value
is a struct that conforms to the
[Explanation][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.Model.explanation_spec]
or
[explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
must be populated.
bool generate_explanation = 23;getGenerateExplanation in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setGenerateExplanation(boolean value)
Generate explanation with the batch prediction results.
When set to `true`, the batch prediction output changes based on the
`predictions_format` field of the
[BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
object:
* `bigquery`: output includes a column named `explanation`. The value
is a struct that conforms to the
[Explanation][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.Model.explanation_spec]
or
[explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
must be populated.
bool generate_explanation = 23;value - The generateExplanation to set.public BatchPredictionJob.Builder clearGenerateExplanation()
Generate explanation with the batch prediction results.
When set to `true`, the batch prediction output changes based on the
`predictions_format` field of the
[BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
object:
* `bigquery`: output includes a column named `explanation`. The value
is a struct that conforms to the
[Explanation][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.Model.explanation_spec]
or
[explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
must be populated.
bool generate_explanation = 23;public boolean hasExplanationSpec()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;hasExplanationSpec in interface BatchPredictionJobOrBuilderpublic ExplanationSpec getExplanationSpec()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;getExplanationSpec in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec value)
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;public BatchPredictionJob.Builder mergeExplanationSpec(ExplanationSpec value)
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;public BatchPredictionJob.Builder clearExplanationSpec()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;public ExplanationSpec.Builder getExplanationSpecBuilder()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
Explanation configuration for this BatchPredictionJob. Can be specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;getExplanationSpecOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasOutputInfo()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasOutputInfo in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.OutputInfo getOutputInfo()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getOutputInfo in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setOutputInfo(BatchPredictionJob.OutputInfo value)
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue)
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder mergeOutputInfo(BatchPredictionJob.OutputInfo value)
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearOutputInfo()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.OutputInfo.Builder getOutputInfoBuilder()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()
Output only. Information further describing the output of this job.
.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getOutputInfoOrBuilder in interface BatchPredictionJobOrBuilderpublic int getStateValue()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
getStateValue in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setStateValue(int value)
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
value - The enum numeric value on the wire for state to set.public JobState getState()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
getState in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setState(JobState value)
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
value - The state to set.public BatchPredictionJob.Builder clearState()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];hasError in interface BatchPredictionJobOrBuilderpublic com.google.rpc.Status getError()
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];getError in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setError(com.google.rpc.Status value)
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];public BatchPredictionJob.Builder setError(com.google.rpc.Status.Builder builderForValue)
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];public BatchPredictionJob.Builder mergeError(com.google.rpc.Status value)
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];public BatchPredictionJob.Builder clearError()
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];public com.google.rpc.Status.Builder getErrorBuilder()
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];public com.google.rpc.StatusOrBuilder getErrorOrBuilder()
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];getErrorOrBuilder in interface BatchPredictionJobOrBuilderpublic List<com.google.rpc.Status> getPartialFailuresList()
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPartialFailuresList in interface BatchPredictionJobOrBuilderpublic int getPartialFailuresCount()
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPartialFailuresCount in interface BatchPredictionJobOrBuilderpublic com.google.rpc.Status getPartialFailures(int index)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPartialFailures in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setPartialFailures(int index, com.google.rpc.Status value)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder setPartialFailures(int index, com.google.rpc.Status.Builder builderForValue)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder addPartialFailures(com.google.rpc.Status value)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder addPartialFailures(int index, com.google.rpc.Status value)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder addPartialFailures(com.google.rpc.Status.Builder builderForValue)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder addPartialFailures(int index, com.google.rpc.Status.Builder builderForValue)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder addAllPartialFailures(Iterable<? extends com.google.rpc.Status> values)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearPartialFailures()
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder removePartialFailures(int index)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.rpc.Status.Builder getPartialFailuresBuilder(int index)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPartialFailuresOrBuilder in interface BatchPredictionJobOrBuilderpublic List<? extends com.google.rpc.StatusOrBuilder> getPartialFailuresOrBuilderList()
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPartialFailuresOrBuilderList in interface BatchPredictionJobOrBuilderpublic com.google.rpc.Status.Builder addPartialFailuresBuilder()
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.rpc.Status.Builder addPartialFailuresBuilder(int index)
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public List<com.google.rpc.Status.Builder> getPartialFailuresBuilderList()
Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
public boolean hasResourcesConsumed()
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasResourcesConsumed in interface BatchPredictionJobOrBuilderpublic ResourcesConsumed getResourcesConsumed()
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
getResourcesConsumed in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed value)
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed.Builder builderForValue)
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder mergeResourcesConsumed(ResourcesConsumed value)
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearResourcesConsumed()
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ResourcesConsumed.Builder getResourcesConsumedBuilder()
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder()
Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
.google.cloud.aiplatform.v1beta1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
getResourcesConsumedOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasCompletionStats()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCompletionStats in interface BatchPredictionJobOrBuilderpublic CompletionStats getCompletionStats()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCompletionStats in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setCompletionStats(CompletionStats value)
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder setCompletionStats(CompletionStats.Builder builderForValue)
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder mergeCompletionStats(CompletionStats value)
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearCompletionStats()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
public CompletionStats.Builder getCompletionStatsBuilder()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
public CompletionStatsOrBuilder getCompletionStatsOrBuilder()
Output only. Statistics on completed and failed prediction instances.
.google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCompletionStatsOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasCreateTime()
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCreateTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTime in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setCreateTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
public BatchPredictionJob.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearCreateTime()
Output only. Time when the BatchPredictionJob was created.
.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
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];
getCreateTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasStartTime()
Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasStartTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Timestamp getStartTime()
Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
getStartTime in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setStartTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
public BatchPredictionJob.Builder mergeStartTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearStartTime()
Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
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];
getStartTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasEndTime()
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasEndTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Timestamp getEndTime()
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
getEndTime in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setEndTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder mergeEndTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearEndTime()
Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
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];
getEndTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasUpdateTime()
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasUpdateTime in interface BatchPredictionJobOrBuilderpublic com.google.protobuf.Timestamp getUpdateTime()
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
getUpdateTime in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setUpdateTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
public BatchPredictionJob.Builder mergeUpdateTime(com.google.protobuf.Timestamp value)
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearUpdateTime()
Output only. Time when the BatchPredictionJob was most recently updated.
.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
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];
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];
getUpdateTimeOrBuilder in interface BatchPredictionJobOrBuilderpublic int getLabelsCount()
BatchPredictionJobOrBuilderThe labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;getLabelsCount in interface BatchPredictionJobOrBuilderpublic boolean containsLabels(String key)
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;containsLabels in interface BatchPredictionJobOrBuilder@Deprecated public Map<String,String> getLabels()
getLabelsMap() instead.getLabels in interface BatchPredictionJobOrBuilderpublic Map<String,String> getLabelsMap()
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;getLabelsMap in interface BatchPredictionJobOrBuilderpublic String getLabelsOrDefault(String key, String defaultValue)
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;getLabelsOrDefault in interface BatchPredictionJobOrBuilderpublic String getLabelsOrThrow(String key)
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;getLabelsOrThrow in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder clearLabels()
public BatchPredictionJob.Builder removeLabels(String key)
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;@Deprecated public Map<String,String> getMutableLabels()
public BatchPredictionJob.Builder putLabels(String key, String value)
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;public BatchPredictionJob.Builder putAllLabels(Map<String,String> values)
The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
map<string, string> labels = 19;public boolean hasEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;hasEncryptionSpec in interface BatchPredictionJobOrBuilderpublic EncryptionSpec getEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;getEncryptionSpec in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setEncryptionSpec(EncryptionSpec value)
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;public BatchPredictionJob.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;public BatchPredictionJob.Builder mergeEncryptionSpec(EncryptionSpec value)
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;public BatchPredictionJob.Builder clearEncryptionSpec()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;public EncryptionSpec.Builder getEncryptionSpecBuilder()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()
Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;getEncryptionSpecOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean hasModelMonitoringConfig()
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
hasModelMonitoringConfig in interface BatchPredictionJobOrBuilderpublic ModelMonitoringConfig getModelMonitoringConfig()
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
getModelMonitoringConfig in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setModelMonitoringConfig(ModelMonitoringConfig value)
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
public BatchPredictionJob.Builder setModelMonitoringConfig(ModelMonitoringConfig.Builder builderForValue)
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
public BatchPredictionJob.Builder mergeModelMonitoringConfig(ModelMonitoringConfig value)
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
public BatchPredictionJob.Builder clearModelMonitoringConfig()
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
public ModelMonitoringConfig.Builder getModelMonitoringConfigBuilder()
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
public ModelMonitoringConfigOrBuilder getModelMonitoringConfigOrBuilder()
Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
getModelMonitoringConfigOrBuilder in interface BatchPredictionJobOrBuilderpublic List<ModelMonitoringStatsAnomalies> getModelMonitoringStatsAnomaliesList()
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
getModelMonitoringStatsAnomaliesList in interface BatchPredictionJobOrBuilderpublic int getModelMonitoringStatsAnomaliesCount()
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
getModelMonitoringStatsAnomaliesCount in interface BatchPredictionJobOrBuilderpublic ModelMonitoringStatsAnomalies getModelMonitoringStatsAnomalies(int index)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
getModelMonitoringStatsAnomalies in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies value)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder setModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies.Builder builderForValue)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies value)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies value)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(ModelMonitoringStatsAnomalies.Builder builderForValue)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies(int index, ModelMonitoringStatsAnomalies.Builder builderForValue)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder addAllModelMonitoringStatsAnomalies(Iterable<? extends ModelMonitoringStatsAnomalies> values)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder clearModelMonitoringStatsAnomalies()
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public BatchPredictionJob.Builder removeModelMonitoringStatsAnomalies(int index)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public ModelMonitoringStatsAnomalies.Builder getModelMonitoringStatsAnomaliesBuilder(int index)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public ModelMonitoringStatsAnomaliesOrBuilder getModelMonitoringStatsAnomaliesOrBuilder(int index)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
getModelMonitoringStatsAnomaliesOrBuilder in interface BatchPredictionJobOrBuilderpublic List<? extends ModelMonitoringStatsAnomaliesOrBuilder> getModelMonitoringStatsAnomaliesOrBuilderList()
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
getModelMonitoringStatsAnomaliesOrBuilderList in interface BatchPredictionJobOrBuilderpublic ModelMonitoringStatsAnomalies.Builder addModelMonitoringStatsAnomaliesBuilder()
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public ModelMonitoringStatsAnomalies.Builder addModelMonitoringStatsAnomaliesBuilder(int index)
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public List<ModelMonitoringStatsAnomalies.Builder> getModelMonitoringStatsAnomaliesBuilderList()
Get batch prediction job monitoring statistics.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
public boolean hasModelMonitoringStatus()
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasModelMonitoringStatus in interface BatchPredictionJobOrBuilderpublic com.google.rpc.Status getModelMonitoringStatus()
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
getModelMonitoringStatus in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setModelMonitoringStatus(com.google.rpc.Status value)
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder setModelMonitoringStatus(com.google.rpc.Status.Builder builderForValue)
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder mergeModelMonitoringStatus(com.google.rpc.Status value)
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
public BatchPredictionJob.Builder clearModelMonitoringStatus()
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.rpc.Status.Builder getModelMonitoringStatusBuilder()
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.rpc.StatusOrBuilder getModelMonitoringStatusOrBuilder()
Output only. The running status of the model monitoring pipeline.
.google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
getModelMonitoringStatusOrBuilder in interface BatchPredictionJobOrBuilderpublic boolean getDisableContainerLogging()
For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default. Please note that the logs incur cost, which are subject to [Cloud Logging pricing](https://cloud.google.com/logging/pricing). User can disable container logging by setting this flag to true.
bool disable_container_logging = 34;getDisableContainerLogging in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder 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. 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;value - The disableContainerLogging to set.public BatchPredictionJob.Builder 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;public boolean getSatisfiesPzs()
Output only. Reserved for future use.
bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];getSatisfiesPzs in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setSatisfiesPzs(boolean value)
Output only. Reserved for future use.
bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The satisfiesPzs to set.public BatchPredictionJob.Builder clearSatisfiesPzs()
Output only. Reserved for future use.
bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];public boolean getSatisfiesPzi()
Output only. Reserved for future use.
bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];getSatisfiesPzi in interface BatchPredictionJobOrBuilderpublic BatchPredictionJob.Builder setSatisfiesPzi(boolean value)
Output only. Reserved for future use.
bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The satisfiesPzi to set.public BatchPredictionJob.Builder clearSatisfiesPzi()
Output only. Reserved for future use.
bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];public final BatchPredictionJob.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>public final BatchPredictionJob.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>Copyright © 2024 Google LLC. All rights reserved.