AWS::SageMaker::AutoMLJob

Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.

An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.

For more information about AutoML jobs, see https://docs.amazonaws.cn/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.

You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.

Syntax

To declare this entity in your Amazon CloudFormation template, use the following syntax:

{
  "Type" : "AWS::SageMaker::AutoMLJob",
  "Properties" : {
      "AutoMLJobConfig" : AutoMLJobConfig,
      "AutoMLJobObjective" : AutoMLJobObjective,
      "GenerateCandidateDefinitionsOnly" : Boolean,
      "InputDataConfig" : [ AutoMLChannel, ... ],
      "OutputDataConfig" : AutoMLOutputDataConfig,
      "ProblemType" : String,
      "RoleArn" : String,
      "Tags" : [ Tag, ... ]
    }
}

Type: AWS::SageMaker::AutoMLJob
Properties:
  AutoMLJobConfig: 
    AutoMLJobConfig
  AutoMLJobObjective: 
    AutoMLJobObjective
  GenerateCandidateDefinitionsOnly: Boolean
  InputDataConfig: 
    - AutoMLChannel
  OutputDataConfig: 
    AutoMLOutputDataConfig
  ProblemType: String
  RoleArn: String
  Tags: 
    - Tag

Properties

Return values

Ref

Fn::GetAtt