Struct aws_sdk_sagemaker::output::DescribeAutoMlJobOutput

#[non_exhaustive]
pub struct DescribeAutoMlJobOutput {

    pub auto_ml_job_name: Option<String>,
    pub auto_ml_job_arn: Option<String>,
    pub input_data_config: Option<Vec<AutoMlChannel>>,
    pub output_data_config: Option<AutoMlOutputDataConfig>,
    pub role_arn: Option<String>,
    pub auto_ml_job_objective: Option<AutoMlJobObjective>,
    pub problem_type: Option<ProblemType>,
    pub auto_ml_job_config: Option<AutoMlJobConfig>,
    pub creation_time: Option<DateTime>,
    pub end_time: Option<DateTime>,
    pub last_modified_time: Option<DateTime>,
    pub failure_reason: Option<String>,
    pub partial_failure_reasons: Option<Vec<AutoMlPartialFailureReason>>,
    pub best_candidate: Option<AutoMlCandidate>,
    pub auto_ml_job_status: Option<AutoMlJobStatus>,
    pub auto_ml_job_secondary_status: Option<AutoMlJobSecondaryStatus>,
    pub generate_candidate_definitions_only: bool,
    pub auto_ml_job_artifacts: Option<AutoMlJobArtifacts>,
    pub resolved_attributes: Option<ResolvedAttributes>,
    pub model_deploy_config: Option<ModelDeployConfig>,
    pub model_deploy_result: Option<ModelDeployResult>,
}

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.

auto_ml_job_name: Option<String>

Returns the name of the AutoML job.

auto_ml_job_arn: Option<String>

Returns the ARN of the AutoML job.

input_data_config: Option<Vec<AutoMlChannel>>

Returns the input data configuration for the AutoML job..

output_data_config: Option<AutoMlOutputDataConfig>

Returns the job's output data config.

role_arn: Option<String>

The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.

auto_ml_job_objective: Option<AutoMlJobObjective>

Returns the job's objective.

problem_type: Option<ProblemType>

Returns the job's problem type.

auto_ml_job_config: Option<AutoMlJobConfig>

Returns the configuration for the AutoML job.

creation_time: Option<DateTime>

Returns the creation time of the AutoML job.

end_time: Option<DateTime>

Returns the end time of the AutoML job.

last_modified_time: Option<DateTime>

Returns the job's last modified time.

failure_reason: Option<String>

Returns the failure reason for an AutoML job, when applicable.

partial_failure_reasons: Option<Vec<AutoMlPartialFailureReason>>

Returns a list of reasons for partial failures within an AutoML job.

best_candidate: Option<AutoMlCandidate>

Returns the job's best AutoMLCandidate.

auto_ml_job_status: Option<AutoMlJobStatus>

Returns the status of the AutoML job.

auto_ml_job_secondary_status: Option<AutoMlJobSecondaryStatus>

Returns the secondary status of the AutoML job.

generate_candidate_definitions_only: bool

Indicates whether the output for an AutoML job generates candidate definitions only.

auto_ml_job_artifacts: Option<AutoMlJobArtifacts>

Returns information on the job's artifacts found in AutoMLJobArtifacts.

resolved_attributes: Option<ResolvedAttributes>

This contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are auto-inferred. If you do provide them, the values used are the ones you provide.

model_deploy_config: Option<ModelDeployConfig>

Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.

model_deploy_result: Option<ModelDeployResult>

Provides information about endpoint for the model deployment.

Implementations

impl DescribeAutoMlJobOutput

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

Returns the name of the AutoML job.

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

Returns the ARN of the AutoML job.

pub fn input_data_config(&self) -> Option<&[AutoMlChannel]>

Returns the input data configuration for the AutoML job..

pub fn output_data_config(&self) -> Option<&AutoMlOutputDataConfig>

Returns the job's output data config.

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

The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.

pub fn auto_ml_job_objective(&self) -> Option<&AutoMlJobObjective>

Returns the job's objective.

pub fn problem_type(&self) -> Option<&ProblemType>

Returns the job's problem type.

pub fn auto_ml_job_config(&self) -> Option<&AutoMlJobConfig>

Returns the configuration for the AutoML job.

pub fn creation_time(&self) -> Option<&DateTime>

Returns the creation time of the AutoML job.

pub fn end_time(&self) -> Option<&DateTime>

Returns the end time of the AutoML job.

pub fn last_modified_time(&self) -> Option<&DateTime>

Returns the job's last modified time.

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

Returns the failure reason for an AutoML job, when applicable.

pub fn partial_failure_reasons(&self) -> Option<&[AutoMlPartialFailureReason]>

Returns a list of reasons for partial failures within an AutoML job.

pub fn best_candidate(&self) -> Option<&AutoMlCandidate>

Returns the job's best AutoMLCandidate.

pub fn auto_ml_job_status(&self) -> Option<&AutoMlJobStatus>

Returns the status of the AutoML job.

pub fn auto_ml_job_secondary_status(&self) -> Option<&AutoMlJobSecondaryStatus>

Returns the secondary status of the AutoML job.

pub fn generate_candidate_definitions_only(&self) -> bool

Indicates whether the output for an AutoML job generates candidate definitions only.

pub fn auto_ml_job_artifacts(&self) -> Option<&AutoMlJobArtifacts>

Returns information on the job's artifacts found in AutoMLJobArtifacts.

pub fn resolved_attributes(&self) -> Option<&ResolvedAttributes>

This contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are auto-inferred. If you do provide them, the values used are the ones you provide.

pub fn model_deploy_config(&self) -> Option<&ModelDeployConfig>

Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.

pub fn model_deploy_result(&self) -> Option<&ModelDeployResult>

Provides information about endpoint for the model deployment.

impl DescribeAutoMlJobOutput

pub fn builder() -> Builder

Creates a new builder-style object to manufacture DescribeAutoMlJobOutput

Trait Implementations

impl Clone for DescribeAutoMlJobOutput

fn clone(&self) -> DescribeAutoMlJobOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeAutoMlJobOutput

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

Formats the value using the given formatter.

impl PartialEq<DescribeAutoMlJobOutput> for DescribeAutoMlJobOutput

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

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

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

This method tests for !=.

impl StructuralPartialEq for DescribeAutoMlJobOutput