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pub struct ModelQualityAppSpecification {
    pub container_arguments: Option<Vec<String>>,
    pub container_entrypoint: Option<Vec<String>>,
    pub environment: Option<HashMap<String, String>>,
    pub image_uri: String,
    pub post_analytics_processor_source_uri: Option<String>,
    pub problem_type: Option<String>,
    pub record_preprocessor_source_uri: Option<String>,
}
Expand description

Container image configuration object for the monitoring job.

Fields

container_arguments: Option<Vec<String>>

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

container_entrypoint: Option<Vec<String>>

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

environment: Option<HashMap<String, String>>

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

image_uri: String

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

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<String>

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

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.

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