Struct GoogleCloudAiplatformV1DataLabelingJob

pub struct GoogleCloudAiplatformV1DataLabelingJob {

    pub state: Option<String>,
    pub create_time: Option<DateTime<Utc>>,
    pub active_learning_config: Option<GoogleCloudAiplatformV1ActiveLearningConfig>,
    pub labels: Option<HashMap<String, String>>,
    pub labeling_progress: Option<i32>,
    pub encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>,
    pub error: Option<GoogleRpcStatus>,
    pub name: Option<String>,
    pub inputs: Option<Value>,
    pub annotation_labels: Option<HashMap<String, String>>,
    pub labeler_count: Option<i32>,
    pub datasets: Option<Vec<String>>,
    pub display_name: Option<String>,
    pub instruction_uri: Option<String>,
    pub current_spend: Option<GoogleTypeMoney>,
    pub inputs_schema_uri: Option<String>,
    pub update_time: Option<DateTime<Utc>>,
    pub specialist_pools: Option<Vec<String>>,
}

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

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• locations data labeling jobs get projects (response)
• locations data labeling jobs create projects (request|response)

Fields

state: Option<String>

Output only. The detailed state of the job.

create_time: Option<DateTime<Utc>>

Output only. Timestamp when this DataLabelingJob was created.

active_learning_config: Option<GoogleCloudAiplatformV1ActiveLearningConfig>

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.

labels: Option<HashMap<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.

labeling_progress: Option<i32>

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

encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>

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: Option<GoogleRpcStatus>

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

name: Option<String>

Output only. Resource name of the DataLabelingJob.

inputs: Option<Value>

Required. Input config parameters for the DataLabelingJob.

annotation_labels: Option<HashMap<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.

labeler_count: Option<i32>

Required. Number of labelers to work on each DataItem.

datasets: Option<Vec<String>>

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

display_name: Option<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.

instruction_uri: Option<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.

current_spend: Option<GoogleTypeMoney>

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

inputs_schema_uri: Option<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.

update_time: Option<DateTime<Utc>>

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

specialist_pools: Option<Vec<String>>

The SpecialistPools’ resource names associated with this job.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1DataLabelingJob

fn clone(&self) -> GoogleCloudAiplatformV1DataLabelingJob

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1DataLabelingJob

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1DataLabelingJob

fn default() -> GoogleCloudAiplatformV1DataLabelingJob

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1DataLabelingJob

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1DataLabelingJob

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl RequestValue for GoogleCloudAiplatformV1DataLabelingJob

impl ResponseResult for GoogleCloudAiplatformV1DataLabelingJob