Struct aws_sdk_sagemaker::types::builders::HumanLoopConfigBuilder

#[non_exhaustive]
pub struct HumanLoopConfigBuilder { /* private fields */ }

A builder for HumanLoopConfig.

Implementations

impl HumanLoopConfigBuilder

pub fn workteam_arn(self, input: impl Into<String>) -> Self

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.

This field is required.

pub fn set_workteam_arn(self, input: Option<String>) -> Self

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 get_workteam_arn(&self) -> &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.

pub fn human_task_ui_arn(self, input: impl Into<String>) -> Self

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.

This field is required.

pub fn set_human_task_ui_arn(self, input: Option<String>) -> Self

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 get_human_task_ui_arn(&self) -> &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.

pub fn task_title(self, input: impl Into<String>) -> Self

A title for the human worker task.

This field is required.

pub fn set_task_title(self, input: Option<String>) -> Self

A title for the human worker task.

pub fn get_task_title(&self) -> &Option<String>

A title for the human worker task.

pub fn task_description(self, input: impl Into<String>) -> Self

A description for the human worker task.

This field is required.

pub fn set_task_description(self, input: Option<String>) -> Self

A description for the human worker task.

pub fn get_task_description(&self) -> &Option<String>

A description for the human worker task.

pub fn task_count(self, input: i32) -> Self

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.

This field is required.

pub fn set_task_count(self, input: Option<i32>) -> Self

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 get_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, input: i32) -> Self

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

pub fn set_task_availability_lifetime_in_seconds( self, input: Option<i32> ) -> Self

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

pub fn get_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, input: i32) -> Self

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

pub fn set_task_time_limit_in_seconds(self, input: Option<i32>) -> Self

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

pub fn get_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, input: impl Into<String>) -> Self

Appends an item to task_keywords.

To override the contents of this collection use set_task_keywords.

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

pub fn set_task_keywords(self, input: Option<Vec<String>>) -> Self

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

pub fn get_task_keywords(&self) -> &Option<Vec<String>>

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

pub fn public_workforce_task_price( self, input: PublicWorkforceTaskPrice ) -> Self

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

pub fn set_public_workforce_task_price( self, input: Option<PublicWorkforceTaskPrice> ) -> Self

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

pub fn get_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

pub fn build(self) -> HumanLoopConfig

Consumes the builder and constructs a HumanLoopConfig.

Trait Implementations

impl Clone for HumanLoopConfigBuilder

fn clone(&self) -> HumanLoopConfigBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HumanLoopConfigBuilder

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

Formats the value using the given formatter.

impl Default for HumanLoopConfigBuilder

fn default() -> HumanLoopConfigBuilder

Returns the “default value” for a type.

impl PartialEq for HumanLoopConfigBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for HumanLoopConfigBuilder