#[non_exhaustive]pub struct DescribeAutoMlJobV2Output {Show 23 fields
pub auto_ml_job_name: Option<String>,
pub auto_ml_job_arn: Option<String>,
pub auto_ml_job_input_data_config: Option<Vec<AutoMlJobChannel>>,
pub output_data_config: Option<AutoMlOutputDataConfig>,
pub role_arn: Option<String>,
pub auto_ml_job_objective: Option<AutoMlJobObjective>,
pub auto_ml_problem_type_config: Option<AutoMlProblemTypeConfig>,
pub auto_ml_problem_type_config_name: Option<AutoMlProblemTypeConfigName>,
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 auto_ml_job_artifacts: Option<AutoMlJobArtifacts>,
pub resolved_attributes: Option<AutoMlResolvedAttributes>,
pub model_deploy_config: Option<ModelDeployConfig>,
pub model_deploy_result: Option<ModelDeployResult>,
pub data_split_config: Option<AutoMlDataSplitConfig>,
pub security_config: Option<AutoMlSecurityConfig>,
pub auto_ml_compute_config: Option<AutoMlComputeConfig>,
/* private fields */
}Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
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 V2.
auto_ml_job_arn: Option<String>Returns the Amazon Resource Name (ARN) of the AutoML job V2.
auto_ml_job_input_data_config: Option<Vec<AutoMlJobChannel>>Returns an array of channel objects describing the input data and their location.
output_data_config: Option<AutoMlOutputDataConfig>Returns the job's output data config.
role_arn: Option<String>The ARN of the 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.
auto_ml_problem_type_config: Option<AutoMlProblemTypeConfig>Returns the configuration settings of the problem type set for the AutoML job V2.
auto_ml_problem_type_config_name: Option<AutoMlProblemTypeConfigName>Returns the name of the problem type configuration set for the AutoML job V2.
creation_time: Option<DateTime>Returns the creation time of the AutoML job V2.
end_time: Option<DateTime>Returns the end time of the AutoML job V2.
last_modified_time: Option<DateTime>Returns the job's last modified time.
failure_reason: Option<String>Returns the reason for the failure of the AutoML job V2, when applicable.
partial_failure_reasons: Option<Vec<AutoMlPartialFailureReason>>Returns a list of reasons for partial failures within an AutoML job V2.
best_candidate: Option<AutoMlCandidate>Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
auto_ml_job_status: Option<AutoMlJobStatus>Returns the status of the AutoML job V2.
auto_ml_job_secondary_status: Option<AutoMlJobSecondaryStatus>Returns the secondary status of the AutoML job V2.
auto_ml_job_artifacts: Option<AutoMlJobArtifacts>The artifacts that are generated during an AutoML job.
resolved_attributes: Option<AutoMlResolvedAttributes>Returns the resolved attributes used by the AutoML job V2.
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.
data_split_config: Option<AutoMlDataSplitConfig>Returns the configuration settings of how the data are split into train and validation datasets.
security_config: Option<AutoMlSecurityConfig>Returns the security configuration for traffic encryption or Amazon VPC settings.
auto_ml_compute_config: Option<AutoMlComputeConfig>The compute configuration used for the AutoML job V2.
Implementations§
Source§impl DescribeAutoMlJobV2Output
impl DescribeAutoMlJobV2Output
Sourcepub fn auto_ml_job_name(&self) -> Option<&str>
pub fn auto_ml_job_name(&self) -> Option<&str>
Returns the name of the AutoML job V2.
Sourcepub fn auto_ml_job_arn(&self) -> Option<&str>
pub fn auto_ml_job_arn(&self) -> Option<&str>
Returns the Amazon Resource Name (ARN) of the AutoML job V2.
Sourcepub fn auto_ml_job_input_data_config(&self) -> &[AutoMlJobChannel]
pub fn auto_ml_job_input_data_config(&self) -> &[AutoMlJobChannel]
Returns an array of channel objects describing the input data and their location.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .auto_ml_job_input_data_config.is_none().
Sourcepub fn output_data_config(&self) -> Option<&AutoMlOutputDataConfig>
pub fn output_data_config(&self) -> Option<&AutoMlOutputDataConfig>
Returns the job's output data config.
Sourcepub fn role_arn(&self) -> Option<&str>
pub fn role_arn(&self) -> Option<&str>
The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
Sourcepub fn auto_ml_job_objective(&self) -> Option<&AutoMlJobObjective>
pub fn auto_ml_job_objective(&self) -> Option<&AutoMlJobObjective>
Returns the job's objective.
Sourcepub fn auto_ml_problem_type_config(&self) -> Option<&AutoMlProblemTypeConfig>
pub fn auto_ml_problem_type_config(&self) -> Option<&AutoMlProblemTypeConfig>
Returns the configuration settings of the problem type set for the AutoML job V2.
Sourcepub fn auto_ml_problem_type_config_name(
&self,
) -> Option<&AutoMlProblemTypeConfigName>
pub fn auto_ml_problem_type_config_name( &self, ) -> Option<&AutoMlProblemTypeConfigName>
Returns the name of the problem type configuration set for the AutoML job V2.
Sourcepub fn creation_time(&self) -> Option<&DateTime>
pub fn creation_time(&self) -> Option<&DateTime>
Returns the creation time of the AutoML job V2.
Sourcepub fn last_modified_time(&self) -> Option<&DateTime>
pub fn last_modified_time(&self) -> Option<&DateTime>
Returns the job's last modified time.
Sourcepub fn failure_reason(&self) -> Option<&str>
pub fn failure_reason(&self) -> Option<&str>
Returns the reason for the failure of the AutoML job V2, when applicable.
Sourcepub fn partial_failure_reasons(&self) -> &[AutoMlPartialFailureReason]
pub fn partial_failure_reasons(&self) -> &[AutoMlPartialFailureReason]
Returns a list of reasons for partial failures within an AutoML job V2.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .partial_failure_reasons.is_none().
Sourcepub fn best_candidate(&self) -> Option<&AutoMlCandidate>
pub fn best_candidate(&self) -> Option<&AutoMlCandidate>
Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
Sourcepub fn auto_ml_job_status(&self) -> Option<&AutoMlJobStatus>
pub fn auto_ml_job_status(&self) -> Option<&AutoMlJobStatus>
Returns the status of the AutoML job V2.
Sourcepub fn auto_ml_job_secondary_status(&self) -> Option<&AutoMlJobSecondaryStatus>
pub fn auto_ml_job_secondary_status(&self) -> Option<&AutoMlJobSecondaryStatus>
Returns the secondary status of the AutoML job V2.
Sourcepub fn auto_ml_job_artifacts(&self) -> Option<&AutoMlJobArtifacts>
pub fn auto_ml_job_artifacts(&self) -> Option<&AutoMlJobArtifacts>
The artifacts that are generated during an AutoML job.
Sourcepub fn resolved_attributes(&self) -> Option<&AutoMlResolvedAttributes>
pub fn resolved_attributes(&self) -> Option<&AutoMlResolvedAttributes>
Returns the resolved attributes used by the AutoML job V2.
Sourcepub fn model_deploy_config(&self) -> Option<&ModelDeployConfig>
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.
Sourcepub fn model_deploy_result(&self) -> Option<&ModelDeployResult>
pub fn model_deploy_result(&self) -> Option<&ModelDeployResult>
Provides information about endpoint for the model deployment.
Sourcepub fn data_split_config(&self) -> Option<&AutoMlDataSplitConfig>
pub fn data_split_config(&self) -> Option<&AutoMlDataSplitConfig>
Returns the configuration settings of how the data are split into train and validation datasets.
Sourcepub fn security_config(&self) -> Option<&AutoMlSecurityConfig>
pub fn security_config(&self) -> Option<&AutoMlSecurityConfig>
Returns the security configuration for traffic encryption or Amazon VPC settings.
Sourcepub fn auto_ml_compute_config(&self) -> Option<&AutoMlComputeConfig>
pub fn auto_ml_compute_config(&self) -> Option<&AutoMlComputeConfig>
The compute configuration used for the AutoML job V2.
Source§impl DescribeAutoMlJobV2Output
impl DescribeAutoMlJobV2Output
Sourcepub fn builder() -> DescribeAutoMlJobV2OutputBuilder
pub fn builder() -> DescribeAutoMlJobV2OutputBuilder
Creates a new builder-style object to manufacture DescribeAutoMlJobV2Output.
Trait Implementations§
Source§impl Clone for DescribeAutoMlJobV2Output
impl Clone for DescribeAutoMlJobV2Output
Source§fn clone(&self) -> DescribeAutoMlJobV2Output
fn clone(&self) -> DescribeAutoMlJobV2Output
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for DescribeAutoMlJobV2Output
impl Debug for DescribeAutoMlJobV2Output
Source§impl RequestId for DescribeAutoMlJobV2Output
impl RequestId for DescribeAutoMlJobV2Output
Source§fn request_id(&self) -> Option<&str>
fn request_id(&self) -> Option<&str>
None if the service could not be reached.impl StructuralPartialEq for DescribeAutoMlJobV2Output
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impl Freeze for DescribeAutoMlJobV2Output
impl RefUnwindSafe for DescribeAutoMlJobV2Output
impl Send for DescribeAutoMlJobV2Output
impl Sync for DescribeAutoMlJobV2Output
impl Unpin for DescribeAutoMlJobV2Output
impl UnwindSafe for DescribeAutoMlJobV2Output
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