Struct CreateModelExplainabilityJobDefinitionInput

#[non_exhaustive]
pub struct CreateModelExplainabilityJobDefinitionInput {
    pub job_definition_name: Option<String>,
    pub model_explainability_baseline_config: Option<ModelExplainabilityBaselineConfig>,
    pub model_explainability_app_specification: Option<ModelExplainabilityAppSpecification>,
    pub model_explainability_job_input: Option<ModelExplainabilityJobInput>,
    pub model_explainability_job_output_config: Option<MonitoringOutputConfig>,
    pub job_resources: Option<MonitoringResources>,
    pub network_config: Option<MonitoringNetworkConfig>,
    pub role_arn: Option<String>,
    pub stopping_condition: Option<MonitoringStoppingCondition>,
    pub tags: Option<Vec<Tag>>,
}

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.

job_definition_name: Option<String>

The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

model_explainability_baseline_config: Option<ModelExplainabilityBaselineConfig>

The baseline configuration for a model explainability job.

model_explainability_app_specification: Option<ModelExplainabilityAppSpecification>

Configures the model explainability job to run a specified Docker container image.

model_explainability_job_input: Option<ModelExplainabilityJobInput>

Inputs for the model explainability job.

model_explainability_job_output_config: Option<MonitoringOutputConfig>

The output configuration for monitoring jobs.

job_resources: Option<MonitoringResources>

Identifies the resources to deploy for a monitoring job.

network_config: Option<MonitoringNetworkConfig>

Networking options for a model explainability job.

role_arn: Option<String>

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

stopping_condition: Option<MonitoringStoppingCondition>

A time limit for how long the monitoring job is allowed to run before stopping.

tags: Option<Vec<Tag>>

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Implementations

impl CreateModelExplainabilityJobDefinitionInput

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

The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

pub fn model_explainability_baseline_config( &self, ) -> Option<&ModelExplainabilityBaselineConfig>

The baseline configuration for a model explainability job.

pub fn model_explainability_app_specification( &self, ) -> Option<&ModelExplainabilityAppSpecification>

Configures the model explainability job to run a specified Docker container image.

pub fn model_explainability_job_input( &self, ) -> Option<&ModelExplainabilityJobInput>

Inputs for the model explainability job.

pub fn model_explainability_job_output_config( &self, ) -> Option<&MonitoringOutputConfig>

The output configuration for monitoring jobs.

pub fn job_resources(&self) -> Option<&MonitoringResources>

Identifies the resources to deploy for a monitoring job.

pub fn network_config(&self) -> Option<&MonitoringNetworkConfig>

Networking options for a model explainability job.

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

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

pub fn stopping_condition(&self) -> Option<&MonitoringStoppingCondition>

A time limit for how long the monitoring job is allowed to run before stopping.

pub fn tags(&self) -> &[Tag]

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

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

impl CreateModelExplainabilityJobDefinitionInput

pub fn builder() -> CreateModelExplainabilityJobDefinitionInputBuilder

Creates a new builder-style object to manufacture CreateModelExplainabilityJobDefinitionInput.

Trait Implementations

impl Clone for CreateModelExplainabilityJobDefinitionInput

fn clone(&self) -> CreateModelExplainabilityJobDefinitionInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateModelExplainabilityJobDefinitionInput

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

Formats the value using the given formatter.

impl PartialEq for CreateModelExplainabilityJobDefinitionInput

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

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

const 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 CreateModelExplainabilityJobDefinitionInput