Struct aws_sdk_sagemaker::model::ModelQualityAppSpecification

#[non_exhaustive]
pub struct ModelQualityAppSpecification {
    pub image_uri: Option<String>,
    pub container_entrypoint: Option<Vec<String>>,
    pub container_arguments: Option<Vec<String>>,
    pub record_preprocessor_source_uri: Option<String>,
    pub post_analytics_processor_source_uri: Option<String>,
    pub problem_type: Option<MonitoringProblemType>,
    pub environment: Option<HashMap<String, String>>,
}

Container image configuration object for the monitoring job.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

image_uri: Option<String>

The address of the container image that the monitoring job runs.

container_entrypoint: Option<Vec<String>>

Specifies the entrypoint for a container that the monitoring job runs.

container_arguments: Option<Vec<String>>

An array of arguments for the container used to run the monitoring job.

record_preprocessor_source_uri: Option<String>

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

post_analytics_processor_source_uri: Option<String>

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

problem_type: Option<MonitoringProblemType>

The machine learning problem type of the model that the monitoring job monitors.

environment: Option<HashMap<String, String>>

Sets the environment variables in the container that the monitoring job runs.

Implementations

impl ModelQualityAppSpecification

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

The address of the container image that the monitoring job runs.

pub fn container_entrypoint(&self) -> Option<&[String]>

Specifies the entrypoint for a container that the monitoring job runs.

pub fn container_arguments(&self) -> Option<&[String]>

An array of arguments for the container used to run the monitoring job.

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

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

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

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

pub fn problem_type(&self) -> Option<&MonitoringProblemType>

The machine learning problem type of the model that the monitoring job monitors.

pub fn environment(&self) -> Option<&HashMap<String, String>>

Sets the environment variables in the container that the monitoring job runs.

impl ModelQualityAppSpecification

pub fn builder() -> Builder

Creates a new builder-style object to manufacture ModelQualityAppSpecification

Trait Implementations

impl Clone for ModelQualityAppSpecification

fn clone(&self) -> ModelQualityAppSpecification

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ModelQualityAppSpecification

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

Formats the value using the given formatter.

impl PartialEq<ModelQualityAppSpecification> for ModelQualityAppSpecification

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

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

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

This method tests for !=.

impl StructuralPartialEq for ModelQualityAppSpecification