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CmdID / aws / aws sagemaker

aws sagemaker create-auto-ml-job-v2

Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2. AWS CLI reference

11 options Its page in the AWS CLI reference

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Options

11 in the AWS CLI reference
--auto-ml-compute-configSpecifies the compute configuration for the AutoML job V2.
--auto-ml-job-input-data-configAn array of channel objects describing the input data and their location.
--auto-ml-job-nameIdentifies an Autopilot job.
--auto-ml-job-objectiveSpecifies a metric to minimize or maximize as the objective of a job.
--auto-ml-problem-type-configDefines the configuration settings of one of the supported problem types.
--data-split-configThis structure specifies how to split the data into train and validation datasets.
--model-deploy-configSpecifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
--output-data-configProvides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
--role-arnThe ARN of the role that is used to access the data.
--security-configThe security configuration for traffic encryption or Amazon VPC settings.
--tagsAn array of key-value pairs.