Creates an Amazon SageMaker experiment
. An experiment is a collection of trials
that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components
, that produce a machine learning model.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search
API to search for the tags.
To add a description to an experiment, specify the optional
parameter. To add a description later, or to change the description, call the UpdateExperiment
To get a list of all your experiments, call the ListExperiments
API. To view an experiment's properties, call the DescribeExperiment
API. To get a list of all the trials associated with an experiment, call the ListTrials
API. To create a trial call the CreateTrial