#[non_exhaustive]
pub struct Builder { /* private fields */ }
Expand description

A builder for HumanLoopConfig

Implementations

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.

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.

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.

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.

A title for the human worker task.

A title for the human worker task.

A description for the human worker task.

A description for the human worker task.

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.

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.

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

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

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

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

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.

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

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

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

Consumes the builder and constructs a HumanLoopConfig

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

Formats the value using the given formatter. Read more

Returns the “default value” for a type. Read more

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

This method tests for !=.

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Instruments this type with the provided Span, returning an Instrumented wrapper. Read more

Instruments this type with the current Span, returning an Instrumented wrapper. Read more

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

The resulting type after obtaining ownership.

Creates owned data from borrowed data, usually by cloning. Read more

🔬 This is a nightly-only experimental API. (toowned_clone_into)

Uses borrowed data to replace owned data, usually by cloning. Read more

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.

Attaches the provided Subscriber to this type, returning a WithDispatch wrapper. Read more

Attaches the current default Subscriber to this type, returning a WithDispatch wrapper. Read more