Struct ContainerConfig 

#[non_exhaustive]
pub struct ContainerConfig {
    pub image_uri: String,
    pub entrypoint: Option<Vec<String>>,
    pub arguments: Option<Vec<String>>,
    pub metric_definitions: Option<Vec<MetricDefinition>>,
}

Provides configuration information for the dockerized container where the model algorithm is stored.

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: String

The registry path of the docker image that contains the algorithm. Clean Rooms ML currently only supports the registry/repository\[:tag\] image path format. For more information about using images in Clean Rooms ML, see the Sagemaker API reference.

entrypoint: Option<Vec<String>>

The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.

arguments: Option<Vec<String>>

The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.

metric_definitions: Option<Vec<MetricDefinition>>

A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.

Implementations

impl ContainerConfig

pub fn image_uri(&self) -> &str

The registry path of the docker image that contains the algorithm. Clean Rooms ML currently only supports the registry/repository\[:tag\] image path format. For more information about using images in Clean Rooms ML, see the Sagemaker API reference.

pub fn entrypoint(&self) -> &[String]

The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .entrypoint.is_none().

pub fn arguments(&self) -> &[String]

The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .arguments.is_none().

pub fn metric_definitions(&self) -> &[MetricDefinition]

A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .metric_definitions.is_none().

impl ContainerConfig

pub fn builder() -> ContainerConfigBuilder

Creates a new builder-style object to manufacture ContainerConfig.

Trait Implementations

impl Clone for ContainerConfig

fn clone(&self) -> ContainerConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ContainerConfig

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

Formats the value using the given formatter.

impl PartialEq for ContainerConfig

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ContainerConfig