Values_1.CreateTrialRequestSourceCreates an 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 SageMaker experiment. 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 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.
type nonrec t = {trialName : Values_0.ExperimentEntityName.t;The name of the trial. The name must be unique in your Amazon Web Services account and is not case-sensitive.
*)displayName : Values_0.ExperimentEntityName.t option;The name of the trial as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialName is displayed.
*)experimentName : Values_0.ExperimentEntityName.t;The name of the experiment to associate the trial with.
*)metadataProperties : Values_0.MetadataProperties.t option;}val make :
?displayName:??? ->
?metadataProperties:??? ->
?tags:??? ->
trialName:Values_0.ExperimentEntityName.t ->
experimentName:Values_0.ExperimentEntityName.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string
* [> `List of
[> `Structure of (string * [> `String of string ]) list ] list
| `String of Values_0.ExperimentEntityName.t
| `Structure of (string * [> `String of string ]) list ])
list ]