Struct HumanLoopConfig

#[non_exhaustive]
pub struct HumanLoopConfig {
    pub workteam_arn: Option<String>,
    pub human_task_ui_arn: Option<String>,
    pub task_title: Option<String>,
    pub task_description: Option<String>,
    pub task_count: Option<i32>,
    pub task_availability_lifetime_in_seconds: Option<i32>,
    pub task_time_limit_in_seconds: Option<i32>,
    pub task_keywords: Option<Vec<String>>,
    pub public_workforce_task_price: Option<PublicWorkforceTaskPrice>,
}

Describes the work to be performed by human workers.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

workteam_arn: Option<String>

Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.

human_task_ui_arn: Option<String>

The Amazon Resource Name (ARN) of the human task user interface.

You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.

To learn how to create a custom HTML template, see Create Custom Worker Task Template.

To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.

task_title: Option<String>

A title for the human worker task.

task_description: Option<String>

A description for the human worker task.

task_count: Option<i32>

The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

task_availability_lifetime_in_seconds: Option<i32>

The length of time that a task remains available for review by human workers.

task_time_limit_in_seconds: Option<i32>

The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).

task_keywords: Option<Vec<String>>

Keywords used to describe the task so that workers can discover the task.

public_workforce_task_price: Option<PublicWorkforceTaskPrice>

Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.

Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.

• 0.036

• 0.048

• 0.060

• 0.072

• 0.120

• 0.240

• 0.360

• 0.480

• 0.600

• 0.720

• 0.840

• 0.960

• 1.080

• 1.200

Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.

• 0.012

• 0.024

• 0.036

• 0.048

• 0.060

• 0.072

• 0.120

• 0.240

• 0.360

• 0.480

• 0.600

• 0.720

• 0.840

• 0.960

• 1.080

• 1.200

Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.

• 0.840

• 0.960

• 1.080

• 1.200

Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.

• 2.400

• 2.280

• 2.160

• 2.040

• 1.920

• 1.800

• 1.680

• 1.560

• 1.440

• 1.320

• 1.200

• 1.080

• 0.960

• 0.840

• 0.720

• 0.600

• 0.480

• 0.360

• 0.240

• 0.120

• 0.072

• 0.060

• 0.048

• 0.036

• 0.024

• 0.012

Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.

• 1.200

• 1.080

• 0.960

• 0.840

• 0.720

• 0.600

• 0.480

• 0.360

• 0.240

• 0.120

• 0.072

• 0.060

• 0.048

• 0.036

• 0.024

• 0.012

Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.

• 1.200

• 1.080

• 0.960

• 0.840

• 0.720

• 0.600

• 0.480

• 0.360

• 0.240

• 0.120

• 0.072

• 0.060

• 0.048

• 0.036

• 0.024

• 0.012

Implementations

impl HumanLoopConfig

pub fn workteam_arn(&self) -> Option<&str>

Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.

pub fn human_task_ui_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the human task user interface.

You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.

To learn how to create a custom HTML template, see Create Custom Worker Task Template.

To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.

pub fn task_title(&self) -> Option<&str>

A title for the human worker task.

pub fn task_description(&self) -> Option<&str>

A description for the human worker task.

pub fn task_count(&self) -> Option<i32>

The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

pub fn task_availability_lifetime_in_seconds(&self) -> Option<i32>

The length of time that a task remains available for review by human workers.

pub fn task_time_limit_in_seconds(&self) -> Option<i32>

The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).

pub fn task_keywords(&self) -> &[String]

Keywords used to describe the task so that workers can discover the task.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .task_keywords.is_none().

pub fn public_workforce_task_price(&self) -> Option<&PublicWorkforceTaskPrice>

Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.

Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.

• 0.036

• 0.048

• 0.060

• 0.072

• 0.120

• 0.240

• 0.360

• 0.480

• 0.600

• 0.720

• 0.840

• 0.960

• 1.080

• 1.200

Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.

• 0.012

• 0.024

• 0.036

• 0.048

• 0.060

• 0.072

• 0.120

• 0.240

• 0.360

• 0.480

• 0.600

• 0.720

• 0.840

• 0.960

• 1.080

• 1.200

Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.

• 0.840

• 0.960

• 1.080

• 1.200

Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.

• 2.400

• 2.280

• 2.160

• 2.040

• 1.920

• 1.800

• 1.680

• 1.560

• 1.440

• 1.320

• 1.200

• 1.080

• 0.960

• 0.840

• 0.720

• 0.600

• 0.480

• 0.360

• 0.240

• 0.120

• 0.072

• 0.060

• 0.048

• 0.036

• 0.024

• 0.012

Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.

• 1.200

• 1.080

• 0.960

• 0.840

• 0.720

• 0.600

• 0.480

• 0.360

• 0.240

• 0.120

• 0.072

• 0.060

• 0.048

• 0.036

• 0.024

• 0.012

Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.

• 1.200

• 1.080

• 0.960

• 0.840

• 0.720

• 0.600

• 0.480

• 0.360

• 0.240

• 0.120

• 0.072

• 0.060

• 0.048

• 0.036

• 0.024

• 0.012

impl HumanLoopConfig

pub fn builder() -> HumanLoopConfigBuilder

Creates a new builder-style object to manufacture HumanLoopConfig.

Trait Implementations

impl Clone for HumanLoopConfig

fn clone(&self) -> HumanLoopConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HumanLoopConfig

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

Formats the value using the given formatter.

impl PartialEq for HumanLoopConfig

fn eq(&self, other: &HumanLoopConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for HumanLoopConfig