Struct aws_sdk_sagemaker::types::PipelineExecutionStepMetadata

#[non_exhaustive]
pub struct PipelineExecutionStepMetadata {

    pub training_job: Option<TrainingJobStepMetadata>,
    pub processing_job: Option<ProcessingJobStepMetadata>,
    pub transform_job: Option<TransformJobStepMetadata>,
    pub tuning_job: Option<TuningJobStepMetaData>,
    pub model: Option<ModelStepMetadata>,
    pub register_model: Option<RegisterModelStepMetadata>,
    pub condition: Option<ConditionStepMetadata>,
    pub callback: Option<CallbackStepMetadata>,
    pub lambda: Option<LambdaStepMetadata>,
    pub quality_check: Option<QualityCheckStepMetadata>,
    pub clarify_check: Option<ClarifyCheckStepMetadata>,
    pub emr: Option<EmrStepMetadata>,
    pub fail: Option<FailStepMetadata>,
    pub auto_ml_job: Option<AutoMlJobStepMetadata>,
}

Metadata for a step execution.

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.

training_job: Option<TrainingJobStepMetadata>

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

processing_job: Option<ProcessingJobStepMetadata>

The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

transform_job: Option<TransformJobStepMetadata>

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

tuning_job: Option<TuningJobStepMetaData>

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

model: Option<ModelStepMetadata>

The Amazon Resource Name (ARN) of the model that was created by this step execution.

register_model: Option<RegisterModelStepMetadata>

The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

condition: Option<ConditionStepMetadata>

The outcome of the condition evaluation that was run by this step execution.

callback: Option<CallbackStepMetadata>

The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

lambda: Option<LambdaStepMetadata>

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

quality_check: Option<QualityCheckStepMetadata>

The configurations and outcomes of the check step execution. This includes:

• The type of the check conducted.

• The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.

• The Amazon S3 URIs of newly calculated baseline constraints and statistics.

• The model package group name provided.

• The Amazon S3 URI of the violation report if violations detected.

• The Amazon Resource Name (ARN) of check processing job initiated by the step execution.

• The Boolean flags indicating if the drift check is skipped.

• If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

clarify_check: Option<ClarifyCheckStepMetadata>

Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

• The type of the check conducted,

• The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.

• The Amazon S3 URIs of newly calculated baseline constraints and statistics.

• The model package group name provided.

• The Amazon S3 URI of the violation report if violations detected.

• The Amazon Resource Name (ARN) of check processing job initiated by the step execution.

• The boolean flags indicating if the drift check is skipped.

• If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

emr: Option<EmrStepMetadata>

The configurations and outcomes of an Amazon EMR step execution.

fail: Option<FailStepMetadata>

The configurations and outcomes of a Fail step execution.

auto_ml_job: Option<AutoMlJobStepMetadata>

The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

Implementations

impl PipelineExecutionStepMetadata

pub fn training_job(&self) -> Option<&TrainingJobStepMetadata>

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

pub fn processing_job(&self) -> Option<&ProcessingJobStepMetadata>

The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

pub fn transform_job(&self) -> Option<&TransformJobStepMetadata>

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

pub fn tuning_job(&self) -> Option<&TuningJobStepMetaData>

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

pub fn model(&self) -> Option<&ModelStepMetadata>

The Amazon Resource Name (ARN) of the model that was created by this step execution.

pub fn register_model(&self) -> Option<&RegisterModelStepMetadata>

The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

pub fn condition(&self) -> Option<&ConditionStepMetadata>

The outcome of the condition evaluation that was run by this step execution.

pub fn callback(&self) -> Option<&CallbackStepMetadata>

The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

pub fn lambda(&self) -> Option<&LambdaStepMetadata>

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

pub fn quality_check(&self) -> Option<&QualityCheckStepMetadata>

The configurations and outcomes of the check step execution. This includes:

• The type of the check conducted.

• The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.

• The Amazon S3 URIs of newly calculated baseline constraints and statistics.

• The model package group name provided.

• The Amazon S3 URI of the violation report if violations detected.

• The Amazon Resource Name (ARN) of check processing job initiated by the step execution.

• The Boolean flags indicating if the drift check is skipped.

• If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

pub fn clarify_check(&self) -> Option<&ClarifyCheckStepMetadata>

Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

• The type of the check conducted,

• The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.

• The Amazon S3 URIs of newly calculated baseline constraints and statistics.

• The model package group name provided.

• The Amazon S3 URI of the violation report if violations detected.

• The Amazon Resource Name (ARN) of check processing job initiated by the step execution.

• The boolean flags indicating if the drift check is skipped.

• If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

pub fn emr(&self) -> Option<&EmrStepMetadata>

The configurations and outcomes of an Amazon EMR step execution.

pub fn fail(&self) -> Option<&FailStepMetadata>

The configurations and outcomes of a Fail step execution.

pub fn auto_ml_job(&self) -> Option<&AutoMlJobStepMetadata>

The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

impl PipelineExecutionStepMetadata

pub fn builder() -> PipelineExecutionStepMetadataBuilder

Creates a new builder-style object to manufacture PipelineExecutionStepMetadata.

Trait Implementations

impl Clone for PipelineExecutionStepMetadata

fn clone(&self) -> PipelineExecutionStepMetadata

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for PipelineExecutionStepMetadata

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

Formats the value using the given formatter.

impl PartialEq for PipelineExecutionStepMetadata

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

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

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

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

impl StructuralPartialEq for PipelineExecutionStepMetadata