Struct aws_sdk_sagemaker::model::HumanLoopActivationConditionsConfig

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

Defines under what conditions SageMaker creates a human loop. Used within . See for the required format of activation conditions.

Implementations

impl HumanLoopActivationConditionsConfig

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

JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

impl HumanLoopActivationConditionsConfig

pub fn builder() -> Builder

Creates a new builder-style object to manufacture HumanLoopActivationConditionsConfig.

Trait Implementations

impl Clone for HumanLoopActivationConditionsConfig

fn clone(&self) -> HumanLoopActivationConditionsConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HumanLoopActivationConditionsConfig

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

Formats the value using the given formatter.

impl PartialEq<HumanLoopActivationConditionsConfig> for HumanLoopActivationConditionsConfig

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