Struct CreateModelBiasJobDefinitionInput

#[non_exhaustive]
pub struct CreateModelBiasJobDefinitionInput {
    pub job_definition_name: Option<String>,
    pub model_bias_baseline_config: Option<ModelBiasBaselineConfig>,
    pub model_bias_app_specification: Option<ModelBiasAppSpecification>,
    pub model_bias_job_input: Option<ModelBiasJobInput>,
    pub model_bias_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 bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

model_bias_baseline_config: Option<ModelBiasBaselineConfig>

The baseline configuration for a model bias job.

model_bias_app_specification: Option<ModelBiasAppSpecification>

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

model_bias_job_input: Option<ModelBiasJobInput>

Inputs for the model bias job.

model_bias_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 bias 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 CreateModelBiasJobDefinitionInput

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

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

pub fn model_bias_baseline_config(&self) -> Option<&ModelBiasBaselineConfig>

The baseline configuration for a model bias job.

pub fn model_bias_app_specification(&self) -> Option<&ModelBiasAppSpecification>

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

pub fn model_bias_job_input(&self) -> Option<&ModelBiasJobInput>

Inputs for the model bias job.

pub fn model_bias_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 bias 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 CreateModelBiasJobDefinitionInput

pub fn builder() -> CreateModelBiasJobDefinitionInputBuilder

Creates a new builder-style object to manufacture CreateModelBiasJobDefinitionInput.

Trait Implementations

impl Clone for CreateModelBiasJobDefinitionInput

fn clone(&self) -> CreateModelBiasJobDefinitionInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateModelBiasJobDefinitionInput

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

Formats the value using the given formatter.

impl PartialEq for CreateModelBiasJobDefinitionInput

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