aws sagemaker create-trial
Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment. 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 a trial and then use the Search API to search for the tags. To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API
Options
| Name | Description |
|---|---|
--trial-name <string> | The name of the trial. The name must be unique in your AWS account and is not case-sensitive |
--display-name <string> | The name of the trial as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialName is displayed |
--experiment-name <string> | The name of the experiment to associate the trial with |
--metadata-properties <structure> | Metadata properties of the tracking entity, trial, or trial component |
--tags <list> | A list of tags to associate with the trial. You can use Search API to search on the tags |
--cli-input-json <string> | Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally |
--generate-cli-skeleton <string> | Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command |