GetDataLabelingJobResult constructor

const GetDataLabelingJobResult({ required GoogleCloudAiplatformV1ActiveLearningConfigResponse activeLearningConfig, required Map<String, String> annotationLabels, required String createTime, required GoogleTypeMoneyResponse currentSpend, required List<String> datasets, required String displayName, required GoogleCloudAiplatformV1EncryptionSpecResponse encryptionSpec, required GoogleRpcStatusResponse error, required dynamic inputs, required String inputsSchemaUri, required String instructionUri, required int labelerCount, required int labelingProgress, required Map<String, String> labels, required String name, required List<String> specialistPools, required String state, required String updateTime, })

Creates a new GetDataLabelingJobResult. 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. annotationLabels 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. createTime Timestamp when this DataLabelingJob was created. currentSpend Estimated cost(in US dollars) that the DataLabelingJob has incurred to date. datasets Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset} displayName 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. encryptionSpec 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. error DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED. inputs Input config parameters for the DataLabelingJob. inputsSchemaUri 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. instructionUri 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. labelerCount Number of labelers to work on each DataItem. labelingProgress Current labeling job progress percentage scaled in interval 0, 100, indicating the percentage of DataItems that has been finished. labels 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. name Resource name of the DataLabelingJob. specialistPools The SpecialistPools' resource names associated with this job. state The detailed state of the job. updateTime Timestamp when this DataLabelingJob was updated most recently.

Implementation

const GetDataLabelingJobResult({
  required this.activeLearningConfig,
  required this.annotationLabels,
  required this.createTime,
  required this.currentSpend,
  required this.datasets,
  required this.displayName,
  required this.encryptionSpec,
  required this.error,
  required this.inputs,
  required this.inputsSchemaUri,
  required this.instructionUri,
  required this.labelerCount,
  required this.labelingProgress,
  required this.labels,
  required this.name,
  required this.specialistPools,
  required this.state,
  required this.updateTime,
});