public interface DataLabelingJobOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
boolean |
containsAnnotationLabels(String key)
Labels to assign to annotations generated by this DataLabelingJob.
|
boolean |
containsLabels(String key)
The labels with user-defined metadata to organize your DataLabelingJobs.
|
ActiveLearningConfig |
getActiveLearningConfig()
Parameters that configure the active learning pipeline.
|
ActiveLearningConfigOrBuilder |
getActiveLearningConfigOrBuilder()
Parameters that configure the active learning pipeline.
|
Map<String,String> |
getAnnotationLabels()
Deprecated.
|
int |
getAnnotationLabelsCount()
Labels to assign to annotations generated by this DataLabelingJob.
|
Map<String,String> |
getAnnotationLabelsMap()
Labels to assign to annotations generated by this DataLabelingJob.
|
String |
getAnnotationLabelsOrDefault(String key,
String defaultValue)
Labels to assign to annotations generated by this DataLabelingJob.
|
String |
getAnnotationLabelsOrThrow(String key)
Labels to assign to annotations generated by this DataLabelingJob.
|
com.google.protobuf.Timestamp |
getCreateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Output only.
|
com.google.type.Money |
getCurrentSpend()
Output only.
|
com.google.type.MoneyOrBuilder |
getCurrentSpendOrBuilder()
Output only.
|
String |
getDatasets(int index)
Required.
|
com.google.protobuf.ByteString |
getDatasetsBytes(int index)
Required.
|
int |
getDatasetsCount()
Required.
|
List<String> |
getDatasetsList()
Required.
|
String |
getDisplayName()
Required.
|
com.google.protobuf.ByteString |
getDisplayNameBytes()
Required.
|
EncryptionSpec |
getEncryptionSpec()
Customer-managed encryption key spec for a DataLabelingJob.
|
EncryptionSpecOrBuilder |
getEncryptionSpecOrBuilder()
Customer-managed encryption key spec for a DataLabelingJob.
|
com.google.rpc.Status |
getError()
Output only.
|
com.google.rpc.StatusOrBuilder |
getErrorOrBuilder()
Output only.
|
com.google.protobuf.Value |
getInputs()
Required.
|
com.google.protobuf.ValueOrBuilder |
getInputsOrBuilder()
Required.
|
String |
getInputsSchemaUri()
Required.
|
com.google.protobuf.ByteString |
getInputsSchemaUriBytes()
Required.
|
String |
getInstructionUri()
Required.
|
com.google.protobuf.ByteString |
getInstructionUriBytes()
Required.
|
int |
getLabelerCount()
Required.
|
int |
getLabelingProgress()
Output only.
|
Map<String,String> |
getLabels()
Deprecated.
|
int |
getLabelsCount()
The labels with user-defined metadata to organize your DataLabelingJobs.
|
Map<String,String> |
getLabelsMap()
The labels with user-defined metadata to organize your DataLabelingJobs.
|
String |
getLabelsOrDefault(String key,
String defaultValue)
The labels with user-defined metadata to organize your DataLabelingJobs.
|
String |
getLabelsOrThrow(String key)
The labels with user-defined metadata to organize your DataLabelingJobs.
|
String |
getName()
Output only.
|
com.google.protobuf.ByteString |
getNameBytes()
Output only.
|
String |
getSpecialistPools(int index)
The SpecialistPools' resource names associated with this job.
|
com.google.protobuf.ByteString |
getSpecialistPoolsBytes(int index)
The SpecialistPools' resource names associated with this job.
|
int |
getSpecialistPoolsCount()
The SpecialistPools' resource names associated with this job.
|
List<String> |
getSpecialistPoolsList()
The SpecialistPools' resource names associated with this job.
|
JobState |
getState()
Output only.
|
int |
getStateValue()
Output only.
|
com.google.protobuf.Timestamp |
getUpdateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getUpdateTimeOrBuilder()
Output only.
|
boolean |
hasActiveLearningConfig()
Parameters that configure the active learning pipeline.
|
boolean |
hasCreateTime()
Output only.
|
boolean |
hasCurrentSpend()
Output only.
|
boolean |
hasEncryptionSpec()
Customer-managed encryption key spec for a DataLabelingJob.
|
boolean |
hasError()
Output only.
|
boolean |
hasInputs()
Required.
|
boolean |
hasUpdateTime()
Output only.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofString getName()
Output only. Resource name of the DataLabelingJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];com.google.protobuf.ByteString getNameBytes()
Output only. Resource name of the DataLabelingJob.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];String getDisplayName()
Required. The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];com.google.protobuf.ByteString getDisplayNameBytes()
Required. The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];List<String> getDatasetsList()
Required. Dataset resource names. Right now we only support labeling from a
single Dataset. Format:
`projects/{project}/locations/{location}/datasets/{dataset}`
repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
int getDatasetsCount()
Required. Dataset resource names. Right now we only support labeling from a
single Dataset. Format:
`projects/{project}/locations/{location}/datasets/{dataset}`
repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
String getDatasets(int index)
Required. Dataset resource names. Right now we only support labeling from a
single Dataset. Format:
`projects/{project}/locations/{location}/datasets/{dataset}`
repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
index - The index of the element to return.com.google.protobuf.ByteString getDatasetsBytes(int index)
Required. Dataset resource names. Right now we only support labeling from a
single Dataset. Format:
`projects/{project}/locations/{location}/datasets/{dataset}`
repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
index - The index of the value to return.int getAnnotationLabelsCount()
Labels to assign to annotations generated by this DataLabelingJob. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
map<string, string> annotation_labels = 12;boolean containsAnnotationLabels(String key)
Labels to assign to annotations generated by this DataLabelingJob. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
map<string, string> annotation_labels = 12;@Deprecated Map<String,String> getAnnotationLabels()
getAnnotationLabelsMap() instead.Map<String,String> getAnnotationLabelsMap()
Labels to assign to annotations generated by this DataLabelingJob. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
map<string, string> annotation_labels = 12;String getAnnotationLabelsOrDefault(String key, String defaultValue)
Labels to assign to annotations generated by this DataLabelingJob. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
map<string, string> annotation_labels = 12;String getAnnotationLabelsOrThrow(String key)
Labels to assign to annotations generated by this DataLabelingJob. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
map<string, string> annotation_labels = 12;int getLabelerCount()
Required. Number of labelers to work on each DataItem.
int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];String getInstructionUri()
Required. The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];com.google.protobuf.ByteString getInstructionUriBytes()
Required. The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];String getInputsSchemaUri()
Required. Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];com.google.protobuf.ByteString getInputsSchemaUriBytes()
Required. Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];boolean hasInputs()
Required. Input config parameters for the DataLabelingJob.
.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];com.google.protobuf.Value getInputs()
Required. Input config parameters for the DataLabelingJob.
.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];com.google.protobuf.ValueOrBuilder getInputsOrBuilder()
Required. Input config parameters for the DataLabelingJob.
.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];int getStateValue()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
JobState getState()
Output only. The detailed state of the job.
.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
int getLabelingProgress()
Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];boolean hasCurrentSpend()
Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
com.google.type.Money getCurrentSpend()
Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
com.google.type.MoneyOrBuilder getCurrentSpendOrBuilder()
Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
boolean hasCreateTime()
Output only. Timestamp when this DataLabelingJob was created.
.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
com.google.protobuf.Timestamp getCreateTime()
Output only. Timestamp when this DataLabelingJob was created.
.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this DataLabelingJob was created.
.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
boolean hasUpdateTime()
Output only. Timestamp when this DataLabelingJob was updated most recently.
.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
com.google.protobuf.Timestamp getUpdateTime()
Output only. Timestamp when this DataLabelingJob was updated most recently.
.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
Output only. Timestamp when this DataLabelingJob was updated most recently.
.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
boolean hasError()
Output only. DataLabelingJob errors. It is only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];com.google.rpc.Status getError()
Output only. DataLabelingJob errors. It is only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];com.google.rpc.StatusOrBuilder getErrorOrBuilder()
Output only. DataLabelingJob errors. It is only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];int getLabelsCount()
The labels with user-defined metadata to organize your DataLabelingJobs. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
map<string, string> labels = 11;boolean containsLabels(String key)
The labels with user-defined metadata to organize your DataLabelingJobs. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
map<string, string> labels = 11;@Deprecated Map<String,String> getLabels()
getLabelsMap() instead.Map<String,String> getLabelsMap()
The labels with user-defined metadata to organize your DataLabelingJobs. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
map<string, string> labels = 11;String getLabelsOrDefault(String key, String defaultValue)
The labels with user-defined metadata to organize your DataLabelingJobs. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
map<string, string> labels = 11;String getLabelsOrThrow(String key)
The labels with user-defined metadata to organize your DataLabelingJobs. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
map<string, string> labels = 11;List<String> getSpecialistPoolsList()
The SpecialistPools' resource names associated with this job.
repeated string specialist_pools = 16;int getSpecialistPoolsCount()
The SpecialistPools' resource names associated with this job.
repeated string specialist_pools = 16;String getSpecialistPools(int index)
The SpecialistPools' resource names associated with this job.
repeated string specialist_pools = 16;index - The index of the element to return.com.google.protobuf.ByteString getSpecialistPoolsBytes(int index)
The SpecialistPools' resource names associated with this job.
repeated string specialist_pools = 16;index - The index of the value to return.boolean hasEncryptionSpec()
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;EncryptionSpec getEncryptionSpec()
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;boolean hasActiveLearningConfig()
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;ActiveLearningConfig getActiveLearningConfig()
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;ActiveLearningConfigOrBuilder getActiveLearningConfigOrBuilder()
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;Copyright © 2025 Google LLC. All rights reserved.