Struct aws_sdk_sagemaker::model::labeling_job_algorithms_config::Builder

pub struct Builder { /* private fields */ }

A builder for LabelingJobAlgorithmsConfig.

Implementations

impl Builder

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

Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

• Image classification

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

• Text classification

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

• Object detection

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

• Semantic Segmentation

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

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

Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

• Image classification

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

• Text classification

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

• Object detection

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

• Semantic Segmentation

  arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

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

At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

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

At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

pub fn labeling_job_resource_config(
    self,
    input: LabelingJobResourceConfig
) -> Self

Provides configuration information for a labeling job.

pub fn set_labeling_job_resource_config(
    self,
    input: Option<LabelingJobResourceConfig>
) -> Self

Provides configuration information for a labeling job.

pub fn build(self) -> LabelingJobAlgorithmsConfig

Consumes the builder and constructs a LabelingJobAlgorithmsConfig.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

fn eq(&self, other: &Builder) -> 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 Builder