Creates a 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.
In the Studio UI, trials are referred to as
run groups and trial components are referred to as
runs.
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 SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services 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
Description parameter. To add a description later, or to change the description, call the
UpdateExperiment API.
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 API.