GetDataLabelingJobResult class

Result data returned by getDataLabelingJob.

Constructors

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.
const
GetDataLabelingJobResult.fromMap(Map<String, dynamic> map)
factory

Properties

activeLearningConfig → GoogleCloudAiplatformV1ActiveLearningConfigResponse
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. 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.
final
createTime → String
Timestamp when this DataLabelingJob was created.
final
currentSpend → GoogleTypeMoneyResponse
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
final
datasets → List<String>
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
final
displayName → String
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 → GoogleCloudAiplatformV1EncryptionSpecResponse
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.
final
error → GoogleRpcStatusResponse
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 setterinherited
inputs → dynamic
Input config parameters for the DataLabelingJob.
final
inputsSchemaUri → String
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
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
Number of labelers to work on each DataItem.
final
labelingProgress → int
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. 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.
final
name → String
Resource name of the DataLabelingJob.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
specialistPools → List<String>
The SpecialistPools' resource names associated with this job.
final
state → String
The detailed state of the job.
final
updateTime → String
Timestamp when this DataLabelingJob was updated most recently.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toMap() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited