DataLabelingJob class final

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

Constructors

DataLabelingJob({String name = '', required String displayName, required List<String> datasets, Map<String, String> annotationLabels = const {}, required int labelerCount, required String instructionUri, required String inputsSchemaUri, required Value? inputs, JobState state = JobState.$default, int labelingProgress = 0, Money? currentSpend, Timestamp? createTime, Timestamp? updateTime, Status? error, Map<String, String> labels = const {}, List<String> specialistPools = const [], EncryptionSpec? encryptionSpec, ActiveLearningConfig? activeLearningConfig})

DataLabelingJob.fromJson(Object? j)

factory

Properties

activeLearningConfig → ActiveLearningConfig?

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.

final

annotationLabels → Map<String, String>

Labels to assign to annotations generated by this DataLabelingJob.

final

createTime → Timestamp?

Output only. Timestamp when this DataLabelingJob was created.

final

currentSpend → Money?

Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.

final

datasets → List<String>

Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

final

displayName → String

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.

final

encryptionSpec → EncryptionSpec?

Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key.

final

error → Status?

Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

final

hashCode → int

The hash code for this object.

no setter, inherited

inputs → Value?

Required. Input config parameters for the DataLabelingJob.

final

inputsSchemaUri → String

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.

final

instructionUri → String

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.

final

labelerCount → int

Required. Number of labelers to work on each DataItem.

final

labelingProgress → int

Output only. Current labeling job progress percentage scaled in interval 0, 100, indicating the percentage of DataItems that has been finished.

final

labels → Map<String, String>

The labels with user-defined metadata to organize your DataLabelingJobs.

final

name → String

Output only. Resource name of the DataLabelingJob.

final

qualifiedName → String

The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.

final, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

specialistPools → List<String>

The SpecialistPools' resource names associated with this job.

final

state → JobState

Output only. The detailed state of the job.

final

updateTime → Timestamp?

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

final

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toJson() → Object

toString() → String

A string representation of this object.

override

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Constants

fullyQualifiedName → const String