Class DataLabelingJob.Builder (3.50.0)

public static final class DataLabelingJob.Builder extends GeneratedMessageV3.Builder<DataLabelingJob.Builder> implements DataLabelingJobOrBuilder

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

Protobuf type google.cloud.aiplatform.v1.DataLabelingJob

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllDatasets(Iterable<String> values)

public DataLabelingJob.Builder addAllDatasets(Iterable<String> values)

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) = { ... }

Parameter
Name Description
values Iterable<String>

The datasets to add.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

addAllSpecialistPools(Iterable<String> values)

public DataLabelingJob.Builder addAllSpecialistPools(Iterable<String> values)

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Parameter
Name Description
values Iterable<String>

The specialistPools to add.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

addDatasets(String value)

public DataLabelingJob.Builder addDatasets(String value)

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) = { ... }

Parameter
Name Description
value String

The datasets to add.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

addDatasetsBytes(ByteString value)

public DataLabelingJob.Builder addDatasetsBytes(ByteString value)

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) = { ... }

Parameter
Name Description
value ByteString

The bytes of the datasets to add.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public DataLabelingJob.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
DataLabelingJob.Builder
Overrides

addSpecialistPools(String value)

public DataLabelingJob.Builder addSpecialistPools(String value)

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Parameter
Name Description
value String

The specialistPools to add.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

addSpecialistPoolsBytes(ByteString value)

public DataLabelingJob.Builder addSpecialistPoolsBytes(ByteString value)

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Parameter
Name Description
value ByteString

The bytes of the specialistPools to add.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

build()

public DataLabelingJob build()
Returns
Type Description
DataLabelingJob

buildPartial()

public DataLabelingJob buildPartial()
Returns
Type Description
DataLabelingJob

clear()

public DataLabelingJob.Builder clear()
Returns
Type Description
DataLabelingJob.Builder
Overrides

clearActiveLearningConfig()

public DataLabelingJob.Builder clearActiveLearningConfig()

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;

Returns
Type Description
DataLabelingJob.Builder

clearAnnotationLabels()

public DataLabelingJob.Builder clearAnnotationLabels()
Returns
Type Description
DataLabelingJob.Builder

clearCreateTime()

public DataLabelingJob.Builder clearCreateTime()

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
DataLabelingJob.Builder

clearCurrentSpend()

public DataLabelingJob.Builder clearCurrentSpend()

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];

Returns
Type Description
DataLabelingJob.Builder

clearDatasets()

public DataLabelingJob.Builder clearDatasets()

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) = { ... }

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearDisplayName()

public DataLabelingJob.Builder clearDisplayName()

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];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearEncryptionSpec()

public DataLabelingJob.Builder clearEncryptionSpec()

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;

Returns
Type Description
DataLabelingJob.Builder

clearError()

public DataLabelingJob.Builder clearError()

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];

Returns
Type Description
DataLabelingJob.Builder

clearField(Descriptors.FieldDescriptor field)

public DataLabelingJob.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
DataLabelingJob.Builder
Overrides

clearInputs()

public DataLabelingJob.Builder clearInputs()

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
DataLabelingJob.Builder

clearInputsSchemaUri()

public DataLabelingJob.Builder clearInputsSchemaUri()

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];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearInstructionUri()

public DataLabelingJob.Builder clearInstructionUri()

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];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearLabelerCount()

public DataLabelingJob.Builder clearLabelerCount()

Required. Number of labelers to work on each DataItem.

int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearLabelingProgress()

public DataLabelingJob.Builder clearLabelingProgress()

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];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearLabels()

public DataLabelingJob.Builder clearLabels()
Returns
Type Description
DataLabelingJob.Builder

clearName()

public DataLabelingJob.Builder clearName()

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public DataLabelingJob.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
DataLabelingJob.Builder
Overrides

clearSpecialistPools()

public DataLabelingJob.Builder clearSpecialistPools()

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearState()

public DataLabelingJob.Builder clearState()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

clearUpdateTime()

public DataLabelingJob.Builder clearUpdateTime()

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
DataLabelingJob.Builder

clone()

public DataLabelingJob.Builder clone()
Returns
Type Description
DataLabelingJob.Builder
Overrides

containsAnnotationLabels(String key)

public 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;

Parameter
Name Description
key String
Returns
Type Description
boolean

containsLabels(String key)

public 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's title.

map<string, string> labels = 11;

Parameter
Name Description
key String
Returns
Type Description
boolean

getActiveLearningConfig()

public 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;

Returns
Type Description
ActiveLearningConfig

The activeLearningConfig.

getActiveLearningConfigBuilder()

public ActiveLearningConfig.Builder getActiveLearningConfigBuilder()

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;

Returns
Type Description
ActiveLearningConfig.Builder

getActiveLearningConfigOrBuilder()

public 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;

Returns
Type Description
ActiveLearningConfigOrBuilder

getAnnotationLabels() (deprecated)

public Map<String,String> getAnnotationLabels()
Returns
Type Description
Map<String,String>

getAnnotationLabelsCount()

public 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;

Returns
Type Description
int

getAnnotationLabelsMap()

public 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;

Returns
Type Description
Map<String,String>

getAnnotationLabelsOrDefault(String key, String defaultValue)

public 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;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getAnnotationLabelsOrThrow(String key)

public 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;

Parameter
Name Description
key String
Returns
Type Description
String

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getCurrentSpend()

public 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];

Returns
Type Description
com.google.type.Money

The currentSpend.

getCurrentSpendBuilder()

public Money.Builder getCurrentSpendBuilder()

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];

Returns
Type Description
com.google.type.Money.Builder

getCurrentSpendOrBuilder()

public 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];

Returns
Type Description
com.google.type.MoneyOrBuilder

getDatasets(int index)

public 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) = { ... }

Parameter
Name Description
index int

The index of the element to return.

Returns
Type Description
String

The datasets at the given index.

getDatasetsBytes(int index)

public 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) = { ... }

Parameter
Name Description
index int

The index of the value to return.

Returns
Type Description
ByteString

The bytes of the datasets at the given index.

getDatasetsCount()

public 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) = { ... }

Returns
Type Description
int

The count of datasets.

getDatasetsList()

public ProtocolStringList 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) = { ... }

Returns
Type Description
ProtocolStringList

A list containing the datasets.

getDefaultInstanceForType()

public DataLabelingJob getDefaultInstanceForType()
Returns
Type Description
DataLabelingJob

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getDisplayName()

public 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];

Returns
Type Description
String

The displayName.

getDisplayNameBytes()

public 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];

Returns
Type Description
ByteString

The bytes for displayName.

getEncryptionSpec()

public 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;

Returns
Type Description
EncryptionSpec

The encryptionSpec.

getEncryptionSpecBuilder()

public EncryptionSpec.Builder getEncryptionSpecBuilder()

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;

Returns
Type Description
EncryptionSpec.Builder

getEncryptionSpecOrBuilder()

public 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;

Returns
Type Description
EncryptionSpecOrBuilder

getError()

public 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];

Returns
Type Description
com.google.rpc.Status

The error.

getErrorBuilder()

public Status.Builder getErrorBuilder()

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];

Returns
Type Description
com.google.rpc.Status.Builder

getErrorOrBuilder()

public 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];

Returns
Type Description
com.google.rpc.StatusOrBuilder

getInputs()

public Value getInputs()

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Value

The inputs.

getInputsBuilder()

public Value.Builder getInputsBuilder()

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Builder

getInputsOrBuilder()

public ValueOrBuilder getInputsOrBuilder()

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ValueOrBuilder

getInputsSchemaUri()

public 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];

Returns
Type Description
String

The inputsSchemaUri.

getInputsSchemaUriBytes()

public 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];

Returns
Type Description
ByteString

The bytes for inputsSchemaUri.

getInstructionUri()

public 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];

Returns
Type Description
String

The instructionUri.

getInstructionUriBytes()

public 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];

Returns
Type Description
ByteString

The bytes for instructionUri.

getLabelerCount()

public int getLabelerCount()

Required. Number of labelers to work on each DataItem.

int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
int

The labelerCount.

getLabelingProgress()

public 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];

Returns
Type Description
int

The labelingProgress.

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

The labels with user-defined metadata to organize 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's title.

map<string, string> labels = 11;

Returns
Type Description
int

getLabelsMap()

public 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's title.

map<string, string> labels = 11;

Returns
Type Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

The labels with user-defined metadata to organize 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's title.

map<string, string> labels = 11;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

The labels with user-defined metadata to organize 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's title.

map<string, string> labels = 11;

Parameter
Name Description
key String
Returns
Type Description
String

getMutableAnnotationLabels() (deprecated)

public Map<String,String> getMutableAnnotationLabels()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getMutableLabels() (deprecated)

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getName()

public String getName()

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for name.

getSpecialistPools(int index)

public String getSpecialistPools(int index)

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Parameter
Name Description
index int

The index of the element to return.

Returns
Type Description
String

The specialistPools at the given index.

getSpecialistPoolsBytes(int index)

public ByteString getSpecialistPoolsBytes(int index)

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Parameter
Name Description
index int

The index of the value to return.

Returns
Type Description
ByteString

The bytes of the specialistPools at the given index.

getSpecialistPoolsCount()

public int getSpecialistPoolsCount()

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Returns
Type Description
int

The count of specialistPools.

getSpecialistPoolsList()

public ProtocolStringList getSpecialistPoolsList()

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Returns
Type Description
ProtocolStringList

A list containing the specialistPools.

getState()

public JobState getState()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
JobState

The state.

getStateValue()

public int getStateValue()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
int

The enum numeric value on the wire for state.

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The updateTime.

getUpdateTimeBuilder()

public Timestamp.Builder getUpdateTimeBuilder()

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Builder

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

hasActiveLearningConfig()

public 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;

Returns
Type Description
boolean

Whether the activeLearningConfig field is set.

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the createTime field is set.

hasCurrentSpend()

public 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];

Returns
Type Description
boolean

Whether the currentSpend field is set.

hasEncryptionSpec()

public 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;

Returns
Type Description
boolean

Whether the encryptionSpec field is set.

hasError()

public 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];

Returns
Type Description
boolean

Whether the error field is set.

hasInputs()

public boolean hasInputs()

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the inputs field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the updateTime field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeActiveLearningConfig(ActiveLearningConfig value)

public DataLabelingJob.Builder mergeActiveLearningConfig(ActiveLearningConfig value)

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;

Parameter
Name Description
value ActiveLearningConfig
Returns
Type Description
DataLabelingJob.Builder

mergeCreateTime(Timestamp value)

public DataLabelingJob.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
DataLabelingJob.Builder

mergeCurrentSpend(Money value)

public DataLabelingJob.Builder mergeCurrentSpend(Money value)

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];

Parameter
Name Description
value com.google.type.Money
Returns
Type Description
DataLabelingJob.Builder

mergeEncryptionSpec(EncryptionSpec value)

public DataLabelingJob.Builder mergeEncryptionSpec(EncryptionSpec value)

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;

Parameter
Name Description
value EncryptionSpec
Returns
Type Description
DataLabelingJob.Builder

mergeError(Status value)

public DataLabelingJob.Builder mergeError(Status value)

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];

Parameter
Name Description
value com.google.rpc.Status
Returns
Type Description
DataLabelingJob.Builder

mergeFrom(DataLabelingJob other)

public DataLabelingJob.Builder mergeFrom(DataLabelingJob other)
Parameter
Name Description
other DataLabelingJob
Returns
Type Description
DataLabelingJob.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public DataLabelingJob.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
DataLabelingJob.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public DataLabelingJob.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
DataLabelingJob.Builder
Overrides

mergeInputs(Value value)

public DataLabelingJob.Builder mergeInputs(Value value)

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value Value
Returns
Type Description
DataLabelingJob.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final DataLabelingJob.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
DataLabelingJob.Builder
Overrides

mergeUpdateTime(Timestamp value)

public DataLabelingJob.Builder mergeUpdateTime(Timestamp value)

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
DataLabelingJob.Builder

putAllAnnotationLabels(Map<String,String> values)

public DataLabelingJob.Builder putAllAnnotationLabels(Map<String,String> values)

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;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
DataLabelingJob.Builder

putAllLabels(Map<String,String> values)

public DataLabelingJob.Builder putAllLabels(Map<String,String> values)

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's title.

map<string, string> labels = 11;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
DataLabelingJob.Builder

putAnnotationLabels(String key, String value)

public DataLabelingJob.Builder putAnnotationLabels(String key, String value)

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;

Parameters
Name Description
key String
value String
Returns
Type Description
DataLabelingJob.Builder

putLabels(String key, String value)

public DataLabelingJob.Builder putLabels(String key, String value)

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's title.

map<string, string> labels = 11;

Parameters
Name Description
key String
value String
Returns
Type Description
DataLabelingJob.Builder

removeAnnotationLabels(String key)

public DataLabelingJob.Builder removeAnnotationLabels(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;

Parameter
Name Description
key String
Returns
Type Description
DataLabelingJob.Builder

removeLabels(String key)

public DataLabelingJob.Builder removeLabels(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's title.

map<string, string> labels = 11;

Parameter
Name Description
key String
Returns
Type Description
DataLabelingJob.Builder

setActiveLearningConfig(ActiveLearningConfig value)

public DataLabelingJob.Builder setActiveLearningConfig(ActiveLearningConfig value)

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;

Parameter
Name Description
value ActiveLearningConfig
Returns
Type Description
DataLabelingJob.Builder

setActiveLearningConfig(ActiveLearningConfig.Builder builderForValue)

public DataLabelingJob.Builder setActiveLearningConfig(ActiveLearningConfig.Builder builderForValue)

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;

Parameter
Name Description
builderForValue ActiveLearningConfig.Builder
Returns
Type Description
DataLabelingJob.Builder

setCreateTime(Timestamp value)

public DataLabelingJob.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
DataLabelingJob.Builder

setCreateTime(Timestamp.Builder builderForValue)

public DataLabelingJob.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
builderForValue Builder
Returns
Type Description
DataLabelingJob.Builder

setCurrentSpend(Money value)

public DataLabelingJob.Builder setCurrentSpend(Money value)

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];

Parameter
Name Description
value com.google.type.Money
Returns
Type Description
DataLabelingJob.Builder

setCurrentSpend(Money.Builder builderForValue)

public DataLabelingJob.Builder setCurrentSpend(Money.Builder builderForValue)

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];

Parameter
Name Description
builderForValue com.google.type.Money.Builder
Returns
Type Description
DataLabelingJob.Builder

setDatasets(int index, String value)

public DataLabelingJob.Builder setDatasets(int index, String value)

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) = { ... }

Parameters
Name Description
index int

The index to set the value at.

value String

The datasets to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setDisplayName(String value)

public DataLabelingJob.Builder setDisplayName(String value)

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];

Parameter
Name Description
value String

The displayName to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setDisplayNameBytes(ByteString value)

public DataLabelingJob.Builder setDisplayNameBytes(ByteString value)

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];

Parameter
Name Description
value ByteString

The bytes for displayName to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setEncryptionSpec(EncryptionSpec value)

public DataLabelingJob.Builder setEncryptionSpec(EncryptionSpec value)

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;

Parameter
Name Description
value EncryptionSpec
Returns
Type Description
DataLabelingJob.Builder

setEncryptionSpec(EncryptionSpec.Builder builderForValue)

public DataLabelingJob.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)

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;

Parameter
Name Description
builderForValue EncryptionSpec.Builder
Returns
Type Description
DataLabelingJob.Builder

setError(Status value)

public DataLabelingJob.Builder setError(Status value)

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];

Parameter
Name Description
value com.google.rpc.Status
Returns
Type Description
DataLabelingJob.Builder

setError(Status.Builder builderForValue)

public DataLabelingJob.Builder setError(Status.Builder builderForValue)

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];

Parameter
Name Description
builderForValue com.google.rpc.Status.Builder
Returns
Type Description
DataLabelingJob.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public DataLabelingJob.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
DataLabelingJob.Builder
Overrides

setInputs(Value value)

public DataLabelingJob.Builder setInputs(Value value)

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value Value
Returns
Type Description
DataLabelingJob.Builder

setInputs(Value.Builder builderForValue)

public DataLabelingJob.Builder setInputs(Value.Builder builderForValue)

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
builderForValue Builder
Returns
Type Description
DataLabelingJob.Builder

setInputsSchemaUri(String value)

public DataLabelingJob.Builder setInputsSchemaUri(String value)

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];

Parameter
Name Description
value String

The inputsSchemaUri to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setInputsSchemaUriBytes(ByteString value)

public DataLabelingJob.Builder setInputsSchemaUriBytes(ByteString value)

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];

Parameter
Name Description
value ByteString

The bytes for inputsSchemaUri to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setInstructionUri(String value)

public DataLabelingJob.Builder setInstructionUri(String value)

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];

Parameter
Name Description
value String

The instructionUri to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setInstructionUriBytes(ByteString value)

public DataLabelingJob.Builder setInstructionUriBytes(ByteString value)

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];

Parameter
Name Description
value ByteString

The bytes for instructionUri to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setLabelerCount(int value)

public DataLabelingJob.Builder setLabelerCount(int value)

Required. Number of labelers to work on each DataItem.

int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value int

The labelerCount to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setLabelingProgress(int value)

public DataLabelingJob.Builder setLabelingProgress(int value)

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];

Parameter
Name Description
value int

The labelingProgress to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setName(String value)

public DataLabelingJob.Builder setName(String value)

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value String

The name to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setNameBytes(ByteString value)

public DataLabelingJob.Builder setNameBytes(ByteString value)

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value ByteString

The bytes for name to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public DataLabelingJob.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
DataLabelingJob.Builder
Overrides

setSpecialistPools(int index, String value)

public DataLabelingJob.Builder setSpecialistPools(int index, String value)

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Parameters
Name Description
index int

The index to set the value at.

value String

The specialistPools to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setState(JobState value)

public DataLabelingJob.Builder setState(JobState value)

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value JobState

The state to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setStateValue(int value)

public DataLabelingJob.Builder setStateValue(int value)

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value int

The enum numeric value on the wire for state to set.

Returns
Type Description
DataLabelingJob.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final DataLabelingJob.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
DataLabelingJob.Builder
Overrides

setUpdateTime(Timestamp value)

public DataLabelingJob.Builder setUpdateTime(Timestamp value)

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
DataLabelingJob.Builder

setUpdateTime(Timestamp.Builder builderForValue)

public DataLabelingJob.Builder setUpdateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
builderForValue Builder
Returns
Type Description
DataLabelingJob.Builder