[][src]Struct rusoto_sagemaker::LabelingJobAlgorithmsConfig

pub struct LabelingJobAlgorithmsConfig {
    pub initial_active_learning_model_arn: Option<String>,
    pub labeling_job_algorithm_specification_arn: String,
    pub labeling_job_resource_config: Option<LabelingJobResourceConfig>,
}

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

Fields

initial_active_learning_model_arn: Option<String>

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.

labeling_job_algorithm_specification_arn: String

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

labeling_job_resource_config: Option<LabelingJobResourceConfig>

Provides configuration information for a labeling job.

Trait Implementations

impl Clone for LabelingJobAlgorithmsConfig[src]

impl Debug for LabelingJobAlgorithmsConfig[src]

impl Default for LabelingJobAlgorithmsConfig[src]

impl<'de> Deserialize<'de> for LabelingJobAlgorithmsConfig[src]

impl PartialEq<LabelingJobAlgorithmsConfig> for LabelingJobAlgorithmsConfig[src]

impl Serialize for LabelingJobAlgorithmsConfig[src]

impl StructuralPartialEq for LabelingJobAlgorithmsConfig[src]

Auto Trait Implementations

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