SageMaker Experiment

SageMaker Experiment in AWS is a resource that helps organize, track, and compare machine learning experiments. It allows you to group related training runs, capture metadata such as parameters, metrics, and artifacts, and manage them in a structured way. This makes it easier to reproduce results, analyze performance, and collaborate across teams.

aws.sagemaker_experiment

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
created_bycorejsonWho created the experiment.
creation_timecoretimestampWhen the experiment was created.
descriptioncorestringThe description of the experiment.
experiment_arncorestringThe Amazon Resource Name (ARN) of the experiment.
experiment_namecorestringThe name of the experiment.
last_modified_bycorejsonWho last modified the experiment.
last_modified_timecoretimestampWhen the experiment was last modified.
tagscorehstore