Creates an Amazon SageMaker 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
list_trials API. To view a trial's
properties, call the describe_trial API.
To create a trial component, call the
create_trial_component API.
sagemaker_create_trial(TrialName, DisplayName, ExperimentName, MetadataProperties, Tags)
TrialName |
[required] The name of the trial. The name must be unique in your AWS account and is not case-sensitive. |
DisplayName |
The name of the trial as displayed. The name doesn't need to be unique.
If |
ExperimentName |
[required] The name of the experiment to associate the trial with. |
MetadataProperties |
|
Tags |
A list of tags to associate with the trial. You can use
|
A list with the following syntax:
list( TrialArn = "string" )
svc$create_trial(
TrialName = "string",
DisplayName = "string",
ExperimentName = "string",
MetadataProperties = list(
CommitId = "string",
Repository = "string",
GeneratedBy = "string",
ProjectId = "string"
),
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.