Class: Aws::SageMaker::Types::DescribeAutoMLJobResponse

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::DescribeAutoMLJobResponse

Defined in:

(unknown)

Overview

Returned by:

• Client#describe_auto_ml_job

See Also:

• AWS API Documentation

Instance Attribute Summary

• #auto_ml_job_arn ⇒ String

  Returns the job\'s ARN.

• #auto_ml_job_artifacts ⇒ Types::AutoMLJobArtifacts

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

• #auto_ml_job_config ⇒ Types::AutoMLJobConfig

  Returns the job\'s config.

• #auto_ml_job_name ⇒ String

  Returns the name of a job.

• #auto_ml_job_objective ⇒ Types::AutoMLJobObjective

  Returns the job\'s objective.

• #auto_ml_job_secondary_status ⇒ String

  Returns the job\'s AutoMLJobSecondaryStatus.

• #auto_ml_job_status ⇒ String

  Returns the job\'s AutoMLJobStatus.

• #best_candidate ⇒ Types::AutoMLCandidate

  Returns the job\'s BestCandidate.

• #creation_time ⇒ Time

  Returns the job\'s creation time.

• #end_time ⇒ Time

  Returns the job\'s end time.

• #failure_reason ⇒ String

  Returns the job\'s FailureReason.

• #generate_candidate_definitions_only ⇒ Boolean

  Returns the job\'s output from GenerateCandidateDefinitionsOnly.

• #input_data_config ⇒ Array<Types::AutoMLChannel>

  Returns the job\'s input data config.

• #last_modified_time ⇒ Time

  Returns the job\'s last modified time.

• #output_data_config ⇒ Types::AutoMLOutputDataConfig

  Returns the job\'s output data config.

• #problem_type ⇒ String

  Returns the job\'s problem type.

• #resolved_attributes ⇒ Types::ResolvedAttributes

  This contains ProblemType, AutoMLJobObjective and CompletionCriteria.

• #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.

Instance Attribute Details

#auto_ml_job_arn ⇒ String

Returns the job\'s ARN.

Returns:

• (String) —

  Returns the job\'s ARN.

#auto_ml_job_artifacts ⇒ Types::AutoMLJobArtifacts

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

Returns:

• (Types::AutoMLJobArtifacts) —

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

#auto_ml_job_config ⇒ Types::AutoMLJobConfig

Returns the job\'s config.

Returns:

• (Types::AutoMLJobConfig) —

  Returns the job\'s config.

#auto_ml_job_name ⇒ String

Returns the name of a job.

Returns:

• (String) —

  Returns the name of a job.

#auto_ml_job_objective ⇒ Types::AutoMLJobObjective

Returns the job\'s objective.

Returns:

• (Types::AutoMLJobObjective) —

  Returns the job\'s objective.

#auto_ml_job_secondary_status ⇒ String

Returns the job\'s AutoMLJobSecondaryStatus.

Possible values:

• Starting
• AnalyzingData
• FeatureEngineering
• ModelTuning
• MaxCandidatesReached
• Failed
• Stopped
• MaxAutoMLJobRuntimeReached
• Stopping
• CandidateDefinitionsGenerated

Returns:

• (String) —

  Returns the job\'s AutoMLJobSecondaryStatus.

#auto_ml_job_status ⇒ String

Returns the job\'s AutoMLJobStatus.

Possible values:

• Completed
• InProgress
• Failed
• Stopped
• Stopping

Returns:

• (String) —

  Returns the job\'s AutoMLJobStatus.

#best_candidate ⇒ Types::AutoMLCandidate

Returns the job\'s BestCandidate.

Returns:

• (Types::AutoMLCandidate) —

  Returns the job\'s BestCandidate.

#creation_time ⇒ Time

Returns the job\'s creation time.

Returns:

• (Time) —

  Returns the job\'s creation time.

#end_time ⇒ Time

Returns the job\'s end time.

Returns:

• (Time) —

  Returns the job\'s end time.

#failure_reason ⇒ String

Returns the job\'s FailureReason.

Returns:

• (String) —

  Returns the job\'s FailureReason.

#generate_candidate_definitions_only ⇒ Boolean

Returns the job\'s output from GenerateCandidateDefinitionsOnly.

Returns:

• (Boolean) —

  Returns the job\'s output from GenerateCandidateDefinitionsOnly.

#input_data_config ⇒ Array<Types::AutoMLChannel>

Returns the job\'s input data config.

Returns:

• (Array<Types::AutoMLChannel>) —

  Returns the job\'s input data config.

#last_modified_time ⇒ Time

Returns the job\'s last modified time.

Returns:

• (Time) —

  Returns the job\'s last modified time.

#output_data_config ⇒ Types::AutoMLOutputDataConfig

Returns the job\'s output data config.

Returns:

• (Types::AutoMLOutputDataConfig) —

  Returns the job\'s output data config.

#problem_type ⇒ String

Returns the job\'s problem type.

Possible values:

• BinaryClassification
• MulticlassClassification
• Regression

Returns:

• (String) —

  Returns the job\'s problem type.

#resolved_attributes ⇒ Types::ResolvedAttributes

This contains ProblemType, AutoMLJobObjective and CompletionCriteria. They\'re auto-inferred values, if not provided by you. If you do provide them, then they\'ll be the same as provided.

Returns:

• (Types::ResolvedAttributes) —

  This contains ProblemType, AutoMLJobObjective and CompletionCriteria.

#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.

Returns:

• (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.