Struct DescribeAutoMLJobResponse

pub struct DescribeAutoMLJobResponse {

    pub auto_ml_job_arn: String,
    pub auto_ml_job_artifacts: Option<AutoMLJobArtifacts>,
    pub auto_ml_job_config: Option<AutoMLJobConfig>,
    pub auto_ml_job_name: String,
    pub auto_ml_job_objective: Option<AutoMLJobObjective>,
    pub auto_ml_job_secondary_status: String,
    pub auto_ml_job_status: String,
    pub best_candidate: Option<AutoMLCandidate>,
    pub creation_time: f64,
    pub end_time: Option<f64>,
    pub failure_reason: Option<String>,
    pub generate_candidate_definitions_only: Option<bool>,
    pub input_data_config: Vec<AutoMLChannel>,
    pub last_modified_time: f64,
    pub model_deploy_config: Option<ModelDeployConfig>,
    pub model_deploy_result: Option<ModelDeployResult>,
    pub output_data_config: AutoMLOutputDataConfig,
    pub partial_failure_reasons: Option<Vec<AutoMLPartialFailureReason>>,
    pub problem_type: Option<String>,
    pub resolved_attributes: Option<ResolvedAttributes>,
    pub role_arn: String,
}

Fields

auto_ml_job_arn: String

Returns the ARN of the AutoML job.

auto_ml_job_artifacts: Option<AutoMLJobArtifacts>

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

auto_ml_job_config: Option<AutoMLJobConfig>

Returns the configuration for the AutoML job.

auto_ml_job_name: String

Returns the name of the AutoML job.

auto_ml_job_objective: Option<AutoMLJobObjective>

Returns the job's objective.

auto_ml_job_secondary_status: String

Returns the secondary status of the AutoML job.

auto_ml_job_status: String

Returns the status of the AutoML job.

best_candidate: Option<AutoMLCandidate>

Returns the job's best AutoMLCandidate.

creation_time: f64

Returns the creation time of the AutoML job.

end_time: Option<f64>

Returns the end time of the AutoML job.

failure_reason: Option<String>

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

generate_candidate_definitions_only: Option<bool>

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

input_data_config: Vec<AutoMLChannel>

Returns the input data configuration for the AutoML job..

last_modified_time: f64

Returns the job's last modified time.

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.

output_data_config: AutoMLOutputDataConfig

Returns the job's output data config.

partial_failure_reasons: Option<Vec<AutoMLPartialFailureReason>>

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

problem_type: Option<String>

Returns the job's problem type.

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.

role_arn: String

The Amazon Resource Name (ARN) of the AWS 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.

Trait Implementations

impl Clone for DescribeAutoMLJobResponse

fn clone(&self) -> DescribeAutoMLJobResponse

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeAutoMLJobResponse

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

Formats the value using the given formatter.

impl Default for DescribeAutoMLJobResponse

fn default() -> DescribeAutoMLJobResponse

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DescribeAutoMLJobResponse

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DescribeAutoMLJobResponse

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